Job Title – Principal, AI/ML Engineer
The Purpose of This Role
We are looking for a highly experienced and technically proficient Principal ML Engineer to lead the development, deployment, and scaling of machine learning infrastructure and pipelines and ML based applications. 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.
The Value you Deliver
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
The Skills that are Key to this Role
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
12+ years of experience in MLOps, Backend Development , AWS, Python .
Graduate / Postgraduate
Location: BLR:EGL
Certifications:Category:Information TechnologySkills Required
- 12+ years of experience in MLOps, Backend Development, AWS, Python
- Graduate / Postgraduate
Fidelity Investments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.
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Strong & Reliable Incentives — Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
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Retirement Support — A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
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Parental & Family Support — Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.
Fidelity Investments Insights
What We Do
At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.
