Role- Machine learning engineer

Location - Hybrid (Chennai)

Duration - 6 months + extendable

Experience - 8+ years

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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.

📌 Machine Learning Specialist (Chennai)
🏢 Sourcebae
📍 Chennai