AI/ML Engineer

 AI/ML Engineer

 
· Core Responsibilities (AI/ML, Python, AWS, GenAl)
· Design and implement end-to-end Al/ML and Generative Al 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 (FastAPI/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.