ML Engineer/Developer

Responsibilities

- Develop, maintain, and optimize robust ETL pipelines using Python (Pandas, NumPy).

- Clean, structure, and ingest complex datasets from multiple energy-sector and regulatory

sources.

- Support the implementation and optimization of Retrieval-Augmented Generation (RAG)

workflows and Vector Databases (e.g., Neo4j).

- Collaborate with the Tech Lead and ML Engineers to integrate and deploy machine

learning models.

- Ensure high standards of code quality, testing, and documentation.

- Contribute to improving internal data processes and development best practices.

Reporting

This position reports directly to the Tech Lead and works closely with the Lead ML Engineer.

Requirements

- Strong communication skills.

- 3–5 years of professional experience in Python development.

- Strong hands-on experience with Pandas and NumPy for data manipulation.

- Working knowledge of SQL and NoSQL databases.

- Basic understanding of machine learning concepts, LLM APIs, and Vector Databases.

- Experience using Git and familiarity with CI/CD fundamentals.

- Strong problem-solving skills and attention to detail.

Nice to Have

- Exposure graph databases and knowledge-graph concepts.

- Hands-on exposure to collaborating with US and UK teams in a global work environment is a strong advantage.

- Experience working with large, complex, or regulated datasets.

- Familiarity with cloud-based data platforms.

Benefits

- Competitive compensation package.

- Hybrid working environment.

- Opportunity to work on cutting-edge ML and data platforms.

- High-growth role in a fast-evolving energy and infrastructure intelligence space.

- Collaborative team culture with strong technical mentorship.

Pay: ₹1,000,000.00 - ₹1,200,000.00 per year

Benefits:

• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person