ML Engineer

Pi Square Technologies

Job Location:

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description PSTI-3450

Client Name	Hinduja Tech
Client Location	Bangalore
Position Name	ML Engineer
Job Description	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. 3 6 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).
Qualification	Bachelor - Computer/Software Engineering Master - Computer/Software Engineering
# Postions	1
Experience	3 6 Years
Type of Engagement	FTE
Work Location	Chennai
Notice Period	Immediate to 15 Days

Job Description PSTI-3450 Client Name Hinduja Tech Client Location Bangalore Position Name ML Engineer Job Description Key Responsibilities: Design implement and maintain scalable data ingestion pipelin...

Job Description PSTI-3450

Client Name	Hinduja Tech
Client Location	Bangalore
Position Name	ML Engineer
Job Description	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. 3 6 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).
Qualification	Bachelor - Computer/Software Engineering Master - Computer/Software Engineering
# Postions	1
Experience	3 6 Years
Type of Engagement	FTE
Work Location	Chennai
Notice Period	Immediate to 15 Days