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

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

Spectral Consultants

🌍 RemoteFull–timeMachine Learning Engineer
Anywhere
Not disclosed
Jun 9, 2026(June 9, 2026)

Job description

Spectral Consultants is hiring for a Senior MLOps Engineer (GenAI / LLM) with one of the leading US Product based organization. Location:- Noida Work Mode:- Remote Experience:- 6-10years The candidate is responsible to build and scale production-ready ML & GenAI (LLM) systems on AWS, enabling seamless deployment, monitoring, and optimization of AI models. Key Responsibilities:

  • Design, build, and scale ML/AI platforms on AWS, leveraging services such as SageMaker, Bedrock, S3, Lambda, ECS/EKS.
  • Develop and deploy LLM-based applications, including RAG pipelines, embeddings, and vector search solutions.
  • Build and manage end-to-end ML pipelines (data ingestion → training → deployment → monitoring).
  • Implement CI/CD pipelines for ML and LLM systems, ensuring automated testing, validation, and deployment.
  • Deploy and manage real-time and batch inference systems with high scalability and reliability.
  • Monitor model performance, drift, and bias using tools like CloudWatch, Prometheus, and Grafana.
  • Work with vector databases such as OpenSearch, Pinecone, or FAISS.
  • Collaborate with Data Scientists, ML Engineers, and cross-functional teams to productionize ML models.
  • Ensure platform security, governance, and cost optimization aligned with best practices. Candidate Requirements:
  • 10+ years of experience in ML Engineering, MLOps, or related domains.
  • Strong hands-on experience with Generative AI, LLMs, and RAG pipelines.
  • Expertise in AWS ecosystem, including SageMaker, Bedrock, S3, Lambda, ECS/EKS.
  • Experience with model deployment, monitoring, and ML lifecycle management.
  • Strong programming skills in Python and experience with APIs (FastAPI/Flask).
  • Hands-on experience with Docker, Kubernetes, and Infrastructure-as-Code (Terraform/CloudFormation).
  • Experience working with vector databases (OpenSearch, Pinecone, FAISS).
  • Solid understanding of CI/CD pipelines for ML systems.
  • Strong problem-solving, communication, and collaboration skills.
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