Al/Ml ops Engineer

Job Description

Summary

The Al/Ml ops Engineer supports deployment, scaling, and operational reliability of machine learning systems, including LLMs, vector databases, and orchestration frameworks across cloud, hybrid, and on-prem environments.

Key Responsibilities

• Set up and manage runtime environments for LLMs, vector DBs, and orchestration flows.
• Support deployments across cloud, hybrid, and client-hosted infrastructures.
• Containerize systems using Docker and Kubernetes and manage inference scaling.
• Integrate observability tooling including prompt tracing, logs, and evaluation hooks.
• Collaborate on RAG stack deployments including retrievers, rankers, and toolchains.
• Support CI/CD pipelines, secrets management, and configuration management.
• Contribute to platform-level accelerators and infrastructure assets.
• Ensure systems meet compliance, governance, and audit expectations.

Required Qualifications

• 4–7 years of experience in DevOps, MLOps, platform engineering, or cloud infrastructure.
• Strong experience with Docker, Kubernetes, API hosting, and cloud-native services.
• Experience with vector DBs such as FAISS, Pinecone, or Weaviate.
• Familiarity with logging frameworks, APM tools, tracing, and versioning logs.
• Exposure to LangChain, LangGraph, LLM APIs, and retrieval architectures is a plus.
• Strong debugging skills and ability to work across cloud and hybrid environments.

Tech Stack

Docker, Kubernetes, Vector DBs (FAISS, Pinecone, Weaviate), LangChain, LangGraph, LLM APIs, Observability tools.

Compensation & Benefits

Competitive compensation aligned with market standards.
Health benefits, PTO, remote flexibility (varies by client).

Work Schedule

Monday–Friday, flexible hours, occasional on-call if applicable.

About the Client

Our client is a growing technology-focused organization committed to building scalable digital solutions.

Why Join the Team?

• Opportunity to work on advanced MLOps and AI platform engineering.
• Exposure to enterprise-grade AI/ML deployments.
• Collaborative environment with strong technical leadership.

How to Apply

Submit your resume to people@ignitetalentpartners.com. Shortlisted candidates will be contacted.