looking for an experienced Machine Learning Engineer with 7+ years of experience to join our growing AI practice. This role is at the intersection of agentic automation, enterprise LLM integration, manufacturing AI, and responsible AI governance. You will design and deploy multi-agent orchestration systems, RAG pipelines, computer vision solutions, and business process automation that create measurable impact across manufacturing and enterprise client environments.

The ideal candidate brings deep hands-on experience with LLMs and generative AI, robust Python and ML framework proficiency, and a track record of shipping production-grade AI systems at scale.

Key Responsibilities

- Design and deploy multi-agent orchestration platforms for manufacturing automation and business process automation using frameworks such as LangGraph, CrewAI, and LangChain.
- Build enterprise LLM integrations including RAG pipelines, domain-specific knowledge bases, and fine-tuning workflows tailored to client-specific domains and data.
- Develop computer vision pipelines for manufacturing use cases including quality control, process monitoring, and assembly line digitalization using YOLO, vision transformers, and multimodal LLMs.




- Automate internal business workflows across Finance, HR, Compliance, and Operations by designing and integrating AI-driven automation solutions.
- Establish and maintain AI governance frameworks covering model evaluation, prompt management, risk assessment, and responsible AI practices at enterprise scale.
- Collaborate with data engineers, platform architects, and business stakeholders to define AI system requirements and translate them into production-ready ML solutions.
- Integrate vector databases, embedding models, and MLOps tooling to support scalable model deployment, monitoring, and lifecycle management.
- Conduct model evaluation, red-teaming, and performance benchmarking; iterate on prompts, architectures, and fine-tuning strategies to meet quality thresholds.
- Stay current with advances in LLMs, agentic AI, and Industry 4.0 technologies; contribute to internal knowledge sharing and technical community.

Location: Chennai Exp; 7 + yrs

Working mode : Hybrid

Notice period : Immediate

Kindly share CV to [email protected] or (phone hidden)

📌 Machine Learning Engineer (Bengaluru)
🏢 Ontime Global
📍 Bengaluru