Job Description:
Job Title –Lead – ML Engineer
The Purpose of This Role
We are looking for a highly experienced and technically proficient Lead ML Engineer to lead the development, deployment, and scaling of machine learning infrastructure and pipelines and ML based applications.
The Value you Deliver
This role is ideal for someone with a strong foundation in backend development, Kubernetes-based deployment, AWS cloud infrastructure, and MLOps practices. You will play a key role in bridging the gap between data science and production systems.
Key Responsibilities:
- Create, design and maintain AI ML based application
- Design, build, and maintain scalable and secure MLOps pipelines using AWS Sagemaker for model training, validation, deployment, and monitoring
- Develop and deploy APIs and backend services using Python, FastAPI, and Spring Boot
- Manage containerized applications using Kubernetes and Amazon EKS
- Implement CI/CD pipelines for ML workflows and application delivery
- Collaborate with data scientists and Data Engineers to operationalize ML models in production
- Utilize AWS services for infrastructure, automation, and monitoring
- Ensure robust database integration and performance optimization
- Contribute to UI development using Angular
Required Technical Skills:
- Expertise with FastAPI and/or Java Spring Boot for API development.
- Deep expertise in Kubernetes and Amazon EKS/Azure AKS.
- Strong programming skills in Python.
- Hands-on experience with Amazon SageMaker,
- Proficiency in AWS /Azure cloud services (e.g., EC2, S3, Lambda).
- Understanding of database fundamentals (SQL/NoSQL)
- Hands-on experience with MLOps tools.
- Expertise with CI/CD tools and DevOps practices
Good to Have:
- Experience with Angular or other front-end frameworks
- Exposure to data engineering and ETL pipelines,
- Exposure on Snowflake.
Soft Skills:
- Excellent communication and collaboration skills
- Ability to work cross-functionally with data science, engineering, and DevOps teams
- Strong problem-solving and critical thinking abilities
- Self-Driven, Proactive, adaptable, and committed to continuous learning
Why Join Us?
- Lead impactful ML infrastructure projects with cutting-edge technologies
- Be part of a collaborative, innovative, and inclusive team
- Opportunities for leadership, growth, and continuous learning
- Flexible work environment and supportive culture
How Your Work Impacts the Organization
WS (Workplace Solutions) helps our customers save and invest through workplace retirement savings plans, build lifetime relationships with customers and provide employers with cost-effective, integrated employee benefit solutions. WS serves customers online, over the phone, and through a nationwide network of investor centers. WS is also committed to helping drive employee retirement readiness by delivering leading-edge financial solutions to employers, including recordkeeping, cash management products and services and personal advisory services (PAS).
The Expertise we’re looking for
- 7+ years of experience in MLOps, Backend Development , AWS, Python .
- Graduate / Postgraduate
Location: Chennai /BLR