ML Ops Lead

Hello,

Please find the below requirement and let me know your thoughts.

Role : ML Ops Lead

Location : Erie, PA (from Day 1 Complete Onsite)

Duration : Long Term

Skills :

• 4 - 7 years of experience in DevOps, MLOps, platform engineering, or cloud infrastructure.
• Strong skills in containerization (Docker, Kubernetes), API hosting, and cloud-native services.
• Experience with vector DBs (e.g., FAISS, Pinecone, Weaviate) and model hosting stacks.
• Familiarity with logging frameworks, APM tools, tracing layers, and prompt/versioning logs.
• Bonus: exposure to LangChain, LangGraph, LLM APIs, and retrieval-based architectures.

Responsibilities :

• Set up and manage runtime environments for LLMs, vector DBs, and orchestration flows (e.g., LangGraph).
• Support deployments in cloud, hybrid, and client-hosted environments.
• Containerize systems for deployment (Docker, Kubernetes, etc.) and manage inference scaling.
• Integrate observability tooling: prompt tracing, version logs, eval hooks, error pipelines.
• Collaborate on RAG stack deployments (retriever, ranker, vector DB, toolchains).
• Support CI/CD, secrets management, error triage, and environment configuration.
• Contribute to platform-level IP, including reusable scaffolding and infrastructure accelerators.
• Ensure systems are compliant with governance expectations and auditable (esp. in insurance contexts).

Preferred Attributes :

• Systems thinker with strong debugging skills..
• Able to work across cloud, on-prem, and hybrid client environments.
• Comfortable partnering with architects and engineers to ensure smooth delivery.
• Proactive about observability, compliance, and runtime reliability.

Thanks & Regards,

Vasu
Intellisoft Technologies Inc.,
11494 Luna Road, Ste 280
Farmers Branch, TX -75234
(O) ext 131