Description

You will build and maintain end-to-end AI/ML and Generative AI solutions.

This role is on-site.

Responsibilities

• Design and implement model training, evaluation, and optimization processes using Python.
• Build and maintain cloud-native applications on AWS using Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.
• Develop high-performance Python microservices (FastAPI/Flask) for data pipelines, inference, and analytics.
• Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM-powered automation.
• Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and IaC (Terraform/CloudFormation) for automated deployments.

Required Skills

• 5+ years of experience in AI/ML engineering.
• Proficiency in Python.
• Experience with AWS services (Lambda, ECS/Fargate, S3, SageMaker, Bedrock).
• Familiarity with Generative AI concepts and implementation.
• Experience building MLOps workflows (versioning, containerization, monitoring).
• Proficiency in Gitlab for CI/CD practices.
• Knowledge of IaC tools like Terraform or CloudFormation.

Key Skills

Education

Any Gradute