Principal - AI ML Engineer

Job Description

Job Title –Principal – 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.

Skills Which Are Key To This Role

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

Expertise in snowflake

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

The Value you Deliver

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/CHN

Certifications

Category:

Information Technology