Machine Learning engineer

ML Engineer

Job Title:Machine Learning Engineer

Qualification:B.E/ M.E/

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

Job Post Date:

Job Expiry Date:

Location:Chenai

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 Masters 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.

Required Skills:

ML