Senior MLOps Engineer-(Gen AI+LLM+Terraform)

Spectral Consultants is hiring for a Senior MLOps Engineer (GenAI / LLM) with one of the leading US Product based organization.\n\nLocation:- Noida\nWork Mode:- Remote\nExperience :- 6-10years\n\nThe candidate is responsible to build and scale production-ready ML & GenAI (LLM) systems on AWS, enabling seamless deployment, monitoring, and optimization of AI models.\n\nKey Responsibilities:\nDesign, build, and scale ML/AI platforms on AWS, leveraging services such as SageMaker, Bedrock, S3, Lambda, ECS/EKS.\nDevelop and deploy LLM-based applications , including RAG pipelines, embeddings, and vector search solutions.\nBuild and manage end-to-end ML pipelines (data ingestion → training → deployment → monitoring).\nImplement CI/CD pipelines for ML and LLM systems , ensuring automated testing, validation, and deployment.\nDeploy and manage real-time and batch inference systems with high scalability and reliability.\nMonitor model performance, drift, and bias using tools like CloudWatch, Prometheus, and Grafana.\nWork with vector databases such as OpenSearch, Pinecone, or FAISS.\nCollaborate with Data Scientists, ML Engineers, and cross-functional teams to productionize ML models.\nEnsure platform security, governance, and cost optimization aligned with best practices.\n\nCandidate Requirements:\n10+ years of experience in ML Engineering, MLOps, or related domains.\nStrong hands-on experience with Generative AI, LLMs, and RAG pipelines .\nExpertise in AWS ecosystem , including SageMaker, Bedrock, S3, Lambda, ECS/EKS.\nExperience with model deployment, monitoring, and ML lifecycle management .\nStrong programming skills in Python and experience with APIs (FastAPI/Flask).\nHands-on experience with Docker, Kubernetes, and Infrastructure-as-Code (Terraform/CloudFormation) .\nExperience working with vector databases (OpenSearch, Pinecone, FAISS).\nSolid understanding of CI/CD pipelines for ML systems .\nStrong problem-solving, communication, and collaboration skills.