AI/ML Engineer

Job Description:

Job Title – AI/ML Engineer

The Purpose of This Role

We are looking for a highly experienced and technically proficient  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:

• Strong programming skills in Python.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Deep hands-on experience with Amazon SageMaker, 
• Expertise with FastAPI and/or Java Spring Boot for API development.
• Deep expertise in Kubernetes and Amazon EKS.
• Proficiency in AWS cloud services (e.g., EC2, S3, Lambda).
• Solid understanding of database fundamentals (SQL/NoSQL)
• Hands-on experience with MLOps tools.
• Familiarity with CI/CD tools and DevOps practices
• Experience with Angular or other front-end frameworks
• Exposure to data engineering and ETL pipelines,
• 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
• Lead impactful ML infrastructure projects with cutting-edge technologies

Good To Have:

• Exposure On Snowflake.

Soft Skills:

Why Join Us?

• 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

• 3+  years of experience in MLOps, Backend Development , AWS, Python  .

• Graduate / Postgraduate

Location: Chennai /BLR

Certifications:

Category:

Information Technology