Machine Learning Engineer

Job Description:

The Role

This Principal Machine Learning Engineer opportunity would be great for someone looking to utilize their existing skillsets in addition to learning new technologies! We’ll be working together to analyze, develop and deploy new machines learning applications using python, java, NLP, GenAI, LLM, machine learning. This is a great opportunity to develop T-shaped skills!

As a Principal Engineer, you will help us take Fidelity Charitable applications to the next level of evolution. The position will require hands-on software development, technical mentoring, cross team collaboration with a diverse and co-located engineering team, and the ability to visualize customer issues as drivers for internal change.

The Expertise and Skills You Bring

• Outstanding teamwork skills working with product owners, analysts, software architects, software engineers and quality engineers

• Experience serving as a strong hands-on technical team member producing clean, unit-tested code.

• Experience applying Software Engineering Architecture and Design Patterns (OO, Functional, REST)

• Strong knowledge of and demonstrated Hands-On Experience with Python

• Strong knowledge of and demonstrated Hands-On Experience in integrating Machine Learning Model services with existing runtime conversation handling system

• Strong knowledge of and demonstrated Hands-On Experience in building and evaluating Natural Language Processing Related Machine Learning Models

• Strong knowledge of machine learning, GenAI, LLM, prompt engineering, model training and productization.

• Strong knowledge of MLOps, machine learning development lifecycle and software development and delivery cycle.

• Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure

• Experience in building REST APIs with python and/or Java/Spring.

• Passion for continuous integration and continuous delivery

• Understanding and awareness of solution compliance, governance and quality needs

• Ability to understand and translate business requirements to appropriate solutions

• Ability to work independently with moderate to minimal guidance

• Ability to work collaboratively with business partners and Enterprise peers who may have developed resuable capabilities we can incorporate to the Charity’s benefit

• Bachelor’s in computer science or applicable equivalent

• 6 – 10 Years of software development experience

• 3 – 5 Years of developing machine learning model or GenAI LLM experience

The Team

At Fidelity Charitable, we develop next-generation technology that directly impacts how our customers accomplish their philanthropic goals. As a member of the team, you’ll help us develop our AI Center of Excellence by crafting creative solutions that meet not only functional or operational needs, but also build capabilities with performance, scalability and reliability in mind.

Certifications:

Category:

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.