Role- Machine learning engineer

Location - Hybrid (Chennai)

Duration - 6 months + extendable

Experience - 8+ years
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