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 : 5 to 10 years

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.

The job is for:

May work from home