Overview
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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.
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