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Join the Clean Energy RevolutionBecome&nbsp;a&nbsp;Capital Planning, Data Engineering Senior Advisorat Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll play a critical role in shaping how the organization leverages data to drive smarter, faster infrastructure investment decisions. This technical leader will design and build robust APIs and ETL pipelines that connect data across systems like Copperleaf, Palantir, and SPEED – empowering the Integrated Grid Planning &amp; Execution (IGPE) process. With a focus on data integration and automation, the Senior Advisor will transform complex, siloed information into actionable insights that fuel strategic capital planning. It’s a high-impact opportunity to influence enterprise tools and processes at the core of the grid’s transformation.As a&nbsp;Capital Planning, Data Engineering Senior Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?<h4>Responsibilities</h4><ul><li>Conceptualizes and owns the data architecture on behalf of the energy team in collaboration with data science and engineering teams</li><li>Improves performance by optimizing computing time to process the streaming data and saves cost to company by optimizing cluster run time</li><li>Identifies opportunities for building of value-added datasets to facilitate realization of enterprise use cases and for optimizing cloud costs</li><li>Establishes transactional data orchestration, data lake, reporting platform strategy and roadmap formulation for data intensive enterprise transformation programs</li><li>Delivers metadata management implementation to improve data governance maturity and data ownership</li><li>Oversees data platform to ensure that the service delivery is efficient and business SLAs around uptime, performance and capacity are met</li><li>Designs Enterprise Data Lake to provide support for various uses cases including Analytics, processing, storing, and reporting of voluminous, rapidly changing data</li><li>Designs and develops end-to-end data pipelines for the organization, resulting in improved data quality and reduced data processing time</li><li>Supports Data Scientists with their development of predictive and other models, with respect to large scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning and deep learning</li><li>Contribute to data dictionary and data mapping from sources to the target in SCIM Data Model</li><li>A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.</li></ul><h4>Minimum Qualifications</h4><ul><li>Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics or equivalent STEM major</li><li>Ten or more years of experience in data processing large data sets, hands-on with data transformation, aggregation, and filtering.</li></ul>Preferred Qualifications<ul><li>Master’s Degree in Computer Science, Data Engineering, Information Systems, Software Engineering, Data Science, or related technical field</li><li>Additional certifications such as Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc.</li><li>Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, or similar platforms</li><li>Familiarity with systems like Copperleaf, Palantir Foundry, Snowflake, SAP, Oracle or similar platforms</li><li>Understanding of cloud-based data storage and architecture and experience working in hybrid environments transitioning from on-prem to cloud</li><li>Proven ability to implement data validation, metadata management, and ensure consistency and accuracy across systems</li><li>Experience working in the electric utility industry or with infrastructure investment planning</li><li>Experience working collaboratively with cross-function stakeholders such as IT, Engineering, Planning and business teams to gather requirements and deliver tailored data solutions.</li><li>Experience managing priorities across multiple initiatives and delivering results within tight deadlines</li></ul>Additional Information<ul><li>This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage.The work mode can be changed based on business needs.</li><li>Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!&nbsp;</li><li>Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.&nbsp;</li><li>Relocation does not apply to this position.</li></ul>About Southern California EdisonThe people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

Southern California Edison

Capital Planning, Data Engineering Senior Advisor

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.<h4>Position: MLOps Engineer, Manager - Analytics Operations</h4><h4>Location: Multiple locations including Devens, MA, New Brunswick, NJ or Seattle, WA</h4>At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Position SummaryThe GPS BI&amp;T Analytics Operations team (Global Product Development and Supply Business Insights and Technology) is building best-in-class DevOps and MLOps infrastructure for deploying innovative AI and ML solutions that drive business value at BMS.The MLOps Engineer, Manager – Analytics Operations will work directly with the Associate Director, Analytics Operations to deploy and manage ML models in production environments. This role will serve as the bridge between machine learning development and operations and work closely with small, cross-functional project-driven teams that include developers, data scientists and business stakeholders to deliver high impact business value. The successful candidate will build robust pipelines and infrastructure that enable efficient development, deployment and monitoring of machine learning solutions.The successful candidate is a creative thinker with a scientific background in computer science, mathematics, engineering or other STEM field and has expertise in one or more of the following areas: backend development with a focus on cloud or ML model deployment, deep learning frameworks, data science, machine learning and data engineering. Previous DevOps/MLOps experience is desired but not a requirement. Additionally, a successful candidate is an excellent communicator who can effectively explain complex technical information to a wide variety of stakeholders. &nbsp;Key ResponsibilitiesThe MLOps Engineer, Manager – Analytics Operations will partner with business-facing stakeholders to establish core capabilities within the team, namely:<ul><li>Design, implement, and maintain CI/CD pipelines for machine learning models.</li><li>Containerize ML models using Docker/Kubernetes and deploy them on cloud platforms (AWS (preferred), Azure or GoogleCloud).</li><li>Set up and maintain monitoring systems to track model performance, response time, error rates and resource utilization (CloudWatch, Grafana, ELK stack).</li><li>Establish alerting and notification systems to quickly detect anomalies or deviations from expected behavior.</li><li>Drive business value – By implementing the highest impact use cases, actively drive business insights and the adoption of advanced analytics. Establish the team as a source of innovative AND reliable enterprise tools.</li></ul>Qualifications &amp; Experience<ul><li>BA/BS in a scientific or quantitative major required; advanced degree (Master or PhD) preferred.</li><li>4+ years of hands-on experience in backend development, cloud or ML engineering. Previous DevOps or MLOps experience a plus but not required. The ideal candidate will have both experience deploying ML models at scale but also have acquired a set of best practices along the way. Relevant experience in high tech or the biopharmaceutical industry preferred but not required.</li><li>Expert coder in languages such as: Python, Java, C or C ++, Go, Rust, Julia. (Required).</li><li>Version control and working with multiple team members in Git required.</li><li>Proficiency in cloud platforms (AWS (preferred), Azure, Google Cloud), containerization technologies (Kubernetes, Docker) and MLOps tools (MLflow, MLOps platform) is desired.</li><li>Knowledge of deep learning frameworks (PyTorch, Tensorflow) is desired.</li><li>Knowledge of CI/CD tools and practices (Jenkins, GitLab CI, CircleCI) is desired.</li><li>Experience with data engineering using SQL, Spark, ETL/ELT and data pipelines a plus.</li><li>Strong project management skills with demonstrated ability to lead multiple projects and balance shifting priorities.</li><li>Excellent interpersonal, collaborative, team-building, written and verbal communication skills to ensure effective collaborations within cross-functional teams.</li></ul>Why You Should ApplyAround the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to <a href="mailto:adastaffingsupport@bms.com" target="_blank">adastaffingsupport@bms.com</a>. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:&nbsp;<a href="https://careers.bms.com/california-residents/" target="_blank">https://careers.bms.com/california-residents/</a>Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Bristol Myers Squibb

MLOps Engineer, Manager - Analytics Operations

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.<h4>Position: MLOps Engineer, Specialist - Analytics Operations</h4><h4>Location: Multiple locations including Devens, MA, New Brunswick, NJ or Seattle, WA</h4>At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Position SummaryThe GPS BI&amp;T Analytics Operations team (Global Product Development and Supply Business Insights and Technology) is building best-in-class DevOps and MLOps infrastructure for deploying innovative AI and ML solutions that drive business value at BMS.The MLOps Engineer, Specialist – Analytics Operations will work directly with the Associate Director, Analytics Operations to deploy and manage ML models in production environments. This role will serve as the bridge between machine learning development and operations and work closely with small, cross-functional project-driven teams that include developers, data scientists and business stakeholders to deliver high impact business value. The successful candidate will build robust pipelines and infrastructure that enable efficient development, deployment and monitoring of machine learning solutions.The successful candidate is a creative thinker with a scientific background in computer science, mathematics, engineering or other STEM field and has expertise in one or more of the following areas: backend development with a focus on cloud or ML model deployment, deep learning frameworks, data science, machine learning and data engineering. Previous MLOps experience is desired but not a requirement. Additionally, a successful candidate is an excellent communicator who can effectively explain complex technical information to a wide variety of stakeholders. &nbsp;Key ResponsibilitiesThe MLOps Engineer, Specialist – Analytics Operations will partner with business-facing stakeholders to establish core capabilities within the team, namely:<ul><li>Design, implement, and maintain CI/CD pipelines for machine learning models.</li><li>Containerize ML models using Docker/Kubernetes and deploy them on cloud platforms (AWS (preferred), Azure or GoogleCloud).</li><li>Set up and maintain monitoring systems to track model performance, response time, error rates and resource utilization (CloudWatch, Grafana, ELK stack).</li><li>Establish alerting and notification systems to quickly detect anomalies or deviations from expected behavior.</li><li>Drive business value – By implementing the highest impact use cases, actively drive business insights and the adoption of advanced analytics. Establish the team as a source of innovative AND reliable enterprise tools.</li></ul>Qualifications &amp; Experience<ul><li>BA/BS in a scientific or quantitative major required.</li><li>1+ years of hands-on experience in backend development, cloud or ML engineering. Previous DevOps or MLOps experience a plus but not required. The ideal candidate will have both experience deploying ML models at scale but also have acquired a set of best practices along the way. Relevant experience in high tech or the biopharmaceutical industry preferred but not required. Candidates with diverse skills are encouraged to apply, even if not all job requirements are met. We value unique perspectives and strengths.</li><li>Coding proficiency in languages such as: Python, Java, C or C ++, Go, Rust, Julia. (Required).</li><li>Proficiency in version control and Git required.</li><li>Proficiency in cloud platforms (AWS (preferred), Azure, Google Cloud), containerization technologies (Kubernetes, Docker) and MLOps tools (MLflow, MLOps platform) is desired.</li><li>Knowledge of deep learning frameworks (PyTorch, Tensorflow) is desired.</li><li>Knowledge of CI/CD tools and practices (Jenkins, GitLab CI, CircleCI) is desired.</li><li>Experience with data engineering using SQL, Spark, ETL/ELT and data pipelines a plus.</li><li>Strong project management skills with demonstrated ability to lead multiple projects and balance shifting priorities.</li><li>Excellent interpersonal, collaborative, team-building, written and verbal communication skills to ensure effective collaborations within cross-functional teams.</li></ul>Why You Should ApplyAround the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to <a href="mailto:adastaffingsupport@bms.com" target="_blank">adastaffingsupport@bms.com</a>. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:&nbsp;<a href="https://careers.bms.com/california-residents/" target="_blank">https://careers.bms.com/california-residents/</a>Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

MLOps Engineer, Specialist - Analytics Operations

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.Position SummaryThe Artificial &amp; Decision Intelligence team within Business Insights and Technology (BI&amp;T) partners with the Bristol Myers Squibb GPS organization to design, develop and operationalize AI/Gen AI, and Decision Intelligence capabilities. We focus on answering key business questions that will drive prioritized business decisions using advanced AI capabilities. The GPS organization at Bristol Myers Squibb supports drug development from discovery through commercialization and distribution to patients. Their scope includes portfolio strategy, manufacturing and supply chain, network strategy, brand analytics, drug substance, drug product, and analytical development for small molecules, biologics, and cell therapy assets.In support of GPS Strategy, the AI Developer will be responsible for developing innovative AI solutions aimed at solving real-world GPS problems. As an AI professional, you will be expected to have a keen interest in AI, ML, and staying current with the latest developments in a rapidly changing field. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML applications.Key ResponsibilitiesAI Development and Tool Creation<ul><li>Lead the development and implementation of scalable AI solutions to address complex pharmaceutical business challenges.</li><li>Develop new AI/Gen AI tools aligned with business objectives and ensure they are operationalized effectively.</li><li>Design and deploy AI frameworks using SQL, Python</li><li>Collaborate with cross-functional teams to translate business requirements into technical specifications and solutions.</li><li>Conduct thorough testing and validation of AI models to ensure accuracy and reliability.</li><li>Develop standard AI frameworks for streamlined deployment practices</li><li>Establish and maintain consistent documentation of AI capabilities</li></ul>Stakeholder Management and Communication<ul><li>Clearly articulate technical concepts and project outcomes to both technical and non-technical stakeholders.</li><li>Present to business stakeholders to clearly communicate technical value provided</li></ul>Standardization and Best Practices<ul><li>Help develop standardized capabilities and best practices within the AI development space.</li><li>Contribute to the standardization of AI deployment methodologies.</li><li>Ensure adherence to BMS operating policies and drive a culture of analytics and fact-based decision making.</li></ul>The role could expand over time to include a wider range of applications, including in areas such as decision intelligence, and data products engineering.Qualifications &amp; ExperienceMinimum Qualifications<ul><li>Minimum of 5 years of hands-on experience working in AI or ML, data science, data integration, and reporting.</li><li>Minimum of 2 years of hands-on experience working with LLMs</li><li>Bachelor’s degree in computer science, information systems, computer engineering, or equivalent is preferred.</li><li>Experience with cloud-based environments (AWS, Azure, Google AI, etc.).</li><li>Excellent communication and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.</li><li>Ability to work collaboratively with technical peers across locations (US, EU, India)</li></ul>Preferred Qualifications<ul><li>Master’s degree in computer science, information systems, computer engineering, data science, or a related technical field.</li><li>Experience with AI applications in a regulated environment, such as health care, biotech, or pharmaceuticals.</li><li>Proven track record of development of AI projects from conception to deployment, including stakeholder management and delivering impactful results.</li><li>Familiarity with additional AI frameworks and tools beyond those listed (e.g. Agentic, LLMs, Computer Vision, text-to-code etc).</li><li>Experience working with Agile methodologies and tools (e.g., JIRA, Confluence) to manage project workflows and sprints.</li></ul>Experience <ul><li>Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations within matrix teams.</li><li>Exceptional analytical skills with substantial knowledge of AI</li><li>Ability to quickly gain and apply functional area specific knowledge.</li><li>Experience interpreting analytical results and ascertaining implications to the business.</li><li>Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements.</li><li>Exceptional creative problem-solving skills to answer key business questions.</li><li>Ability to work with diverse teams across organizational lines and structures.</li></ul>If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to <a href="mailto:adastaffingsupport@bms.com" target="_blank">adastaffingsupport@bms.com</a>. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:&nbsp;<a href="https://careers.bms.com/california-residents/" target="_blank">https://careers.bms.com/california-residents/</a>Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Manager, AI Engineering & Enablement, GPS BI&T

<h4>Description</h4>Fidelity TalentSource is your destination for discovering your next temporary role at Fidelity Investments. We are currently sourcing for a AI/ML Engineer to work in Jersey City, NJ!As a Cloud Engineer within the Enterprise Data Science Platform team, you will create frameworks to support large-scale ML infrastructure and pipelines, including tools for the containerization and deployment of ML models. Collaborating with Data Scientists, you will develop sophisticated analytics and machine learning platforms to enable the prediction and optimization of models. You will extend existing ML platforms for scaling model training and deployment, and partner with various business and engineering teams to drive the adoption and integration of model outputs. This role is critical in maximizing Data Science to deliver exceptional customer experiences in financial services.<h4>The Team</h4>The enterprise data science platform (part of the Fidelity Data Architecture team in the Enterprise Technology BU) is focused on delivering AI/ML solutions for the organization. As part of this team, you will be responsible for building advanced cloud and software solutions in collaboration with Data Scientists to support packaging, deployment, and scaling of AI/ML Models in production.<h4>The Expertise You Have</h4><ul><li>Has Bachelor’s or Master’s Degree or equivalent experience in a technology related field (e.g. Computer Science, Engineering, etc.).</li><li>Proficiency in Python software development with strong experience in its ML ecosystem (numpy, pandas, sklearn, tensorflow, etc.), along with solid skills in Linux scripting. Ability to design and implement software using both object-oriented and functional programming paradigms. Basic knowledge of Java and Groovy is a plus.</li><li>Proven experience in building cloud-native applications using a range of AWS services, including but not limited to SageMaker AI, Bedrock, S3, CloudFormation (CFT), SNS, SQS, Lambda, AWS Batch, Step Functions, EventBridge, and CloudWatch. Familiarity with both Azure Cognitive Services, particularly for deploying OpenAI models, and Google Compute Vertex is beneficial.</li><li>Strong experience with CI/CD tools, particularly Jenkins, for automating and streamlining the software development pipeline. Proficient in using version control systems like Git for effective code management and collaboration. Hands-on experience with containerization technologies such as Docker for building and deploying applications. Expertise in infrastructure as code (IaC) services, including AWS CloudFormation and tools like Terraform or OpenTofu, for managing and provisioning cloud resources</li><li>Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.</li><li>Strong knowledge of developing highly scalable distributed systems using Open-source technologies.</li><li>5+ years of proven experience in developing and implementing Python-based cloud applications and/or machine learning solutions.</li><li>Solid experience in Agile methodologies (Kanban and SCRUM).</li></ul><h4>The Skills You Bring</h4><ul><li>You have strong technical design and analysis skills.</li><li>You the ability to deal with ambiguity and work in fast paced environment.</li><li>Your experience supporting critical applications.</li><li>You are familiar with applied data science methods, feature engineering and machine learning algorithms.</li><li>Your Data wrangling experience with structured, semi-structure and unstructured data.</li><li>Your experience building ML infrastructure, with a strong focus on software engineering.</li><li>You have excellent communication skills, both through written and verbal channels.</li><li>You have excellent collaboration skills to work with multiple teams in the organization.</li><li>Your ability to understand and adapt to changing business priorities and technology advancements in a Data Science and Big data ecosystem.</li></ul><h4>The Value You Deliver</h4><ul><li>Partner with Data Scientists and to help use the foundational platform upon which models can be built and trained.</li><li>Operationalize ML Models at scale (e.g. Serve predictions on tens of millions of customers).</li><li>Exploring new technology trends and maximizing them to simplify our data and ML ecosystem.</li><li>Designing &amp; developing a feature generation &amp; store framework that promotes sharing of data/features among different ML models.</li><li>Build tools to help detect shifts in data/features used by ML models to help identify issues in advance of deteriorating prediction quality, monitoring the uncertainty of model outputs, automating prediction explanation for model diagnostics.</li><li>Driving Innovation and implementing solutions with future thinking.</li><li>Guiding teams to improve development agility and productivity.</li><li>Resolving technical roadblocks and mitigating potential risks.</li><li>Delivering system automation</li></ul> The hourly pay rate range for this position is $65-70 per hour.Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Fidelity TalentSource

AI/ML Engineer

<h4>Description</h4>Fidelity TalentSource is your destination for discovering your next temporary role at Fidelity Investments. We are currently sourcing for a Systems Engineer (Support) to work in Fidelity’s Cyber Security business unit in Westlake, TX!<h4>The Role </h4>Fidelity Investments is looking for a Senior Systems Engineer to join the Authentication Controls team within Enterprise CyberSecurity. This team provides Single Sign-On (SSO) and multi-factor authentication capabilities for hundreds of applications servicing the needs of the Fidelity workforce.<h4>The Expertise and Skills You Bring </h4><ul><li>Bachelor’s degree in Computer Science/Engineering, Information Systems/Science, or a closely related field. </li><li>Experience of supporting single sign on authentication standards, such as one or more of the following: SAML, OpenID Connect, OAuth or Kerberos. </li><li>Strong TCP/IP knowledge and a strong understanding of network infrastructure. </li><li>Knowledge of Active Directory. </li><li>Strong operating systems knowledge: Windows and Linux. </li><li>Minimum of five years of IT experience. </li><li>Excellent problem-solving skills with a commitment to the highest levels of quality. </li></ul>The following skills / experience are highly preferable for this role:<ul><li>Full stack software development experience (front end and back end). </li><li>Experience with working on one or preferably more of the following: Python, C++, Java/J2EE. </li><li>Experience with: </li><li>Version Control tools like Git. </li><li>Continuous Integration/Continuous Deployment (CI/CD). </li><li>Agile methodologies. </li><li>Experience of working in a cloud environment such as Azure and / or AWS. </li><li>A cyber security certification, such as CISSP. </li></ul><h4>The Team </h4>Your role in the Authentication Controls team will see you supporting SSO products from the main industry vendors in a scaled, distributed, highly available environment. These solutions enable business units throughout Fidelity to offer SSO services in a secure and highly reliable manner, ensuring they in turn can provide products and services to the standards expected by Fidelity customers.

Systems Engineer (Support)

<h4>Description</h4>Data Engineer Fidelity TalentSource is your destination for discovering your next temporary role at Fidelity Investments. We are currently sourcing for a Data Engineer in Smithfield, RI. The Role The FIPBET FundsNetwork Data team is looking for a highly motivated Data Engineer responsible for designing, building, and maintaining the operational and analytical capability for FundsNetwork Product. The work involves solution design, data analysis, production rollout and production support activities using Python, AWS, Snowflake, and Oracle. The Expertise and Skills You Bring<ul><li>Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of experience. </li><li>Advanced SQL/PLSQL knowledge. </li><li>2+ years of Python development. </li><li>Experience with Unix scripting and scheduling tools. </li><li>Good experience in working with AWS or similar Cloud Technologies. </li><li>Strong data modeling skills doing either Dimensional or Data Vault models. </li><li>Proven data analysis skills. </li><li>Experience working with snowflake database is a plus. </li><li>Hands-on experience on SQL query optimization and tuning to improve performance is desirable. </li><li>Hands-on experience with ETL tool like Informatica is a desirable </li><li>Working experience with some or all the following: AWS, Containerization, associated build, and deployment CI/CD pipelines. </li><li>Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Stash, Concourse, Artifactory). </li><li>Experience in Agile methodologies (Kanban and SCRUM) is a plus. </li><li>Proven track record to handle ambiguity and work in fast paced environment. </li><li>Good interpersonal skills to work with multiple teams in the organization. </li></ul> The Value You Deliver<ul><li>Exploring new technology products and using them to help our business needs. </li><li>Working on teams to improve efficiency. </li><li>Delivering system automation by setting up continuous integration/continuous delivery pipelines. </li></ul>

Data Engineer

<h4>Description</h4>SR. Software EngineerFidelity is your destination for discovering your next role at Fidelity Investments. We are currently sourcing for a Senior Software Engineer to work in Durham, NC!The RoleWe are looking for self-starters who are willing to learn the current framework and start delivering/contributing value rapidly. We need passionate engineers who have hands-on experience of developing &amp; deploying secure, performant, reliable, resilient, distributed applications on public cloud. You need to have positive attitude, flexibility to work in different time zones and empathy/patience to support our customers.The Expertise and Skills You BringAs a NCD team member you will need to:<ul><li>Design and write high-quality &amp; secure code using OOPS and advanced Java (Multi-threading, Concurrency, Lambda expressions)</li><li>Have strong experience in designing, developing microservices, REST APIs for public cloud. </li><li>Be creative in designing and implementing distributed software components compatible for public cloud. Should have experience in 12-Factor App architecture. </li><li>Be proficient with industry standard frameworks and design patterns like Dropwizard/spring.</li><li>Strong knowledge about public cloud services (like AWS/Azure). Should have development experience using cloud provider SDK or CLI (like AWS SDK or Azure SDK), create and manage cloud resources as code (IaaC). </li><li>Takes initiative to automate any repetitive tasks/jobs, tests, manual activities using different scripting languages like Python, NodeJS, shell script.</li><li>Have expertise in testing frameworks like Mocha, Junit, Mockito</li><li>Experience with DevOps, Continuous Integration and Delivery tools like Jenkins, Maven, uDeploy, GitHub and Docker</li><li>Monitor system health, performance by using tools like Splunk, Datadog to ensure minimal disruption to business. </li><li>Perform system maintenance, production incidents, problem management, root cause analysis, remediation of the problems, available for on-call support schedule, experience with service management tools like SNOW. </li><li>Drives measurable improvements in the maintenance, operational and runtime characteristics of our APIs and other software systems by creating alerts, dashboards, reports. </li><li>Adheres to team norms, best practices, supports team members to meet team objectives, takes ownership to deliver value, open to suggestions/feedbacks, positive outlook. </li><li>Have an Agile mindset to deliver work in an iterative manner as per Agile methodology. </li></ul>The TeamOur team owns and supports the Normalized Content Delivery (NCD) platform which enables consistent and personalized content throughout all touchpoints. We create and support highly efficient, scalable, resilient content APIs to all channels, by leveraging cloud computing and big-data recommendation capability.<h4>Dynamic Working</h4>Our aim is to combine the best of working offsite with coming together in person. For most teams this means a consistent balance of working from home and office that supports the needs of your role, experience level, and working style.Your success and growth is important to us, so you’ll want to enjoy the benefits of coming together in person – face to face learning and training, quality time with your manager and teammates, building your career network, making friends, and taking full advantage of cultural and social experiences Fidelity provides for you.<h4>Information about Fidelity Investments</h4>At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com.

Sr Software Engineer

<h4>Description</h4> Fidelity TalentSource is your destination for discovering your next temporary role at Fidelity Investments. We are currently sourcing for a Senior Full Stack Engineer in Durham, NC ! The Role Do you have a passion for developing software using cutting edge frameworks? Then this may be the job for you, Fidelity Brokerage Technology is looking for a Senior Full Stack Engineer who has experience developing Angular UI applications and is capable of full stack Java development for the Fixed Income, FX and Syndicate suite of applications. The Expertise and Skills You Bring <ul><li>Bachelor’s degree in Computer Science or equivalent. </li><li>10+ years of experience developing multi-tier distributed application preferred. </li><li>Demonstrated expertise developing and testing accessible and responsive UI applications using Angular, NgRx, and TypeScript </li><li>Expert level knowledge of REST API development using Java, Spring and Spring Boot technologies. </li><li>Demonstrated expertise MQ /Kafka technology to develop and support data ingestion services </li><li>Hands-on experience using all major AWS cloud technologies required </li><li>Familiarity using financial messaging protocols like FIX. </li><li>Familiarity with GIT workflow for code check-ins and review </li><li>Experience with devops/deployment tools and techniques like Jenkins, Concourse, Docker etc. </li><li>Strong software experience in developing and a proven track record of delivering full-stack cloud-based applications. </li><li>Demonstrated expertise in various relational and non-relational database technologies (Ideally Oracle/Redis/Aerospike/Dynamo DB DB) </li><li>You are comfortable working in an Agile software delivery environment, with exposure to continuous integration and continuous delivery tools. </li><li>You have a passion for clean, maintainable code and are always looking to improve your engineering skills in fast-paced, ambiguous environments. </li><li>Learning, adapting, and embracing new concepts &amp; technologies quickly and implementing them successfully. </li><li>Understanding of fundamental design principles for building a modular and scalable platform. </li><li>You build positive relationships with other team members and have excellent verbal and written communication. </li><li>Good communication skills, problem solving skills, and a highly professional attitude are essential for this role. </li></ul>The Team Fixed Income, FX and Syndicate team is committed to providing innovative solutions in the financial domain. As a full stack developer you will be applying your strong software development and test automation skills to design, develop, test, deploy, maintain and improve Fidelity customer-facing software solutions.

Principal Full Stack Engineer

<h4>Description</h4> Full Stack Engineer The Role As a member of Fidelity's Workplace Solutions (WS) Digital Platforms Technology team, you will be responsible for delivering new products and services using hybrid technology stack -- Angular, GraphQL, and Java. Serving as a Full-Stack Engineer, you will play a key role on a Scrum team and within Digital Platforms Technology. Working closely with the Squad Lead, Scrum Master, Tech Lead Systems Analyst, Quality Assurance, Architects and other Developers, you will help to craft, build, test, and deliver the features that make up Fidelity’s Digital experiences. The Expertise and Skills You Bring<ul><li>6+ years of software development experience using in Java, Spring, middle tier restful services </li></ul><ul><li>6+ years of Client-side language, library, and framework proficiency in Angular, JavaScript/TypeScript, Node, NPM, HTML/CSS </li><li>Experience integrating with APIs with a strong understanding of RESTful web services. </li><li>Strong Experience with Automation Tools/Frameworks </li><li>Strong understanding of CI/CD tools such as GitHub, Jenkins, Artifactory, uDeploy; deploying applications in a DevOps environment </li><li>Experience working with cloud services (Microsoft Azure or AWS/EKS) </li><li>Experienced with secure coding standards and practices. </li><li>Knowledge in GraphQL, Apache Camel </li><li>Knowledge of architecture and design patterns to build highly scalable and resilient systems. </li><li>The ability to learn and adopt new technologies. </li><li>Ability to work on sophisticated technical and functional analysis tasks </li><li>A self-starter, who actively challenges status-quo, is curious and not afraid to ask “Why” and “What if”? </li><li>Have an approach of test first development and are experienced in modern test frameworks. We believe that quality is everyone’s job </li><li>Lead all aspects of application upgrades and assist with platform implementations. </li><li>Proactively identify potential issues with applications as they are developed. </li><li>Generates new viewpoints and break through ideas to build value </li><li>Experience in communicating technical needs and capabilities to non-technical team members, product owners, and partners. </li></ul>The Team Fidelity's Workplace Solutions (WS) Digital Platforms Technology team designs, develops, implements, and supports WS’s suite of Digital products and services. The Digital Platforms development team focuses on delivering innovative solutions that meet the needs of our customers. Our systems professionals thrive, with a steadfast dedication to innovation, which furthers a culture of continuous improvement and significant achievement. We see ourselves as a vital link to Fidelity's customers. This is a fast-paced group that is using ground-breaking technologies to build powerful tools and outstanding user experiences for our customers, using Java-based technologies. At Fidelity, our goal is for most people to work flexibly in a way that balances both personal and business needs with time onsite and offsite through what we’re calling “Dynamic Working”. Most associates will have a hybrid schedule with a requirement to work onsite at a Fidelity work location for at least one week, all business days, every four weeks. These requirements are subject to change.

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