Python Development with AI/ML, AWS, Generative AI.
Core Responsibilities: Python, AWS, AI/ML, GenAI.
Develop high‑performance Python microservices (FastAPI / Flask) enabling scalable data pipelines, model inference, and real‑time analytics.
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.
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.

#TS-3142

Python Developer

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