AI/ML Engineer - Python &

Overview Role: AI/ML Engineer - Python & AWS Duration: Fulltime/Contract Onsite: 5 Days Onsite Responsibilities Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment. Build and maintain cloud native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock. Develop high performance Python microservices (Fast API/Flask) enabling scalable data pipelines, model inference, and real time analytics. Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM powered automation (chatbots, summarization, semantic search, anomaly detection). Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and infrastructure as code (Terraform/CloudFormation) for reliable, automated deployments. Build robust MLOps workflows, including model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning. #J-18808-Ljbffr