Senior Machine Learning,GenAI

Job Description

Senior Machine Learning, MLOps, and Generative AI Engineer with hands-on experience in end-to-end development, deployment, and optimization of ML models in AWS environmentsDeep understanding of AWS machine learning services, MLOps best practices, and generative AI frameworks (e.g., LangChain, LLMs), along with expertise in API design and optimizationTechnical Skills:AWS: SageMaker, ECR, Lambda, CloudFormation, IAM, S3, and monitoring tools (CloudWatch, SageMaker Model Monitor)MLOps: Model versioning (MLflow), orchestration (TFX, Kubeflow), and drift detection (Evidently, AWS SageMaker Model Monitor)Generative AI: Hands-on experience with LangChain, LLMs (GPT, Claude, Llama), and vector databases (Pinecone, FAISS)APIs: FastAPI/Flask, API Gateway, and optimization techniques (caching, async processing, load balancing)Programming: Python (PyTorch, TensorFlow), infrastructure-as-code (Terraform, CDK), and containerization (Docker, Kubernetes)