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.
- Robust 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

📌 ML Engineer/Developer (Prabhadevi)
🏢 Crecer Inteligente LLB
📍 Prabhadevi