ML

ML Engineer

Job Title: Machine Learning Engineer

Qualification: B.E/B.Tech, M.E/ M.Tech

Experience: 5 to 8 Years as ML Engineer or Data Engineer

Location: Chennai

About the Role:

You will be responsible for setting up and maintaining the RAG backend infrastructure, ensuring data security and compliance, and integrating multiple data sources into a unified knowledge system. Over time, you will transition into broader engineering tasks, supporting the work of the engineering functions.

Key Responsibilities:

• Design, implement, and maintain scalable data ingestion pipelines for unstructured and structured content.
• Build and manage vector database infrastructure (e.g. Pinecone, Milvus) for document indexing and retrieval.
• Develop and enforce fine-grained access control mechanisms to ensure secure and compliant knowledge access.
• Collaborate with domain experts to source, curate, and structure knowledge for RAG workflows.
• Integrate document chunking, embedding generation, and metadata tagging into the pipeline.
• Monitor and optimise retrieval performance, latency, and quality across the RAG stack.
• Implement observability, logging, and evaluation metrics for pipeline health and retrieval quality.
• Work with IT teams to deploy and maintain services in a self-hosted environment.

Job requirements:

• Bachelors or Master’s degree in computer science, Data Engineering, or a related field.
• 5-8 years of experience in ML Engineering, Data Engineering, or MLOps.
• Proficiency in Python and experience with data manipulation, analysis and visualisation libraries (e.g. Pandas, NumPy, Matplotlib, Seaborn etc.)
• Hands-on experience with vector databases and embedding techniques, data pipelines
• Familiarity with access control models (e.g. RBAC, ABAC) and data governance practices.
• Strong understanding and adherence to the Clean Code principles.

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG) architectures.
• Hands on experience with AI-Aided software development (e.g. GitHub Copilot, Cursor, Claude Code)
• Knowledge of SQL and relational database designs. (e.g. PostgreSQL)
• Familiarity with LangChain, LlamaIndex, or similar frameworks.
• Exposure to knowledge management systems or enterprise search platforms.
• Understanding the basics of ISO 27001.
• Experience with containerisation (Docker, Kubernetes).
• Experience with ML/AI frameworks (e.g. SciKit-learn, Keras, PyTorch, TensorFlow).

Soft skills

• Continuous learning mindset and a passion for staying up to date with the latest trends and advancements in data science and machine learning.
• Strong analytical and problem-solving skills.
• Ability to work within a team with a proactive attitude.
• Fluent English.

What We Offer

• Opportunity to work on cutting-edge AI applications in a real-world enterprise setting.
• Professional development opportunities and the possibility to grow the role.Role & responsibilities

Preferred candidate profile