About the Role

We are looking for a hands-on Senior AI/ML & Generative AI Developer to design, develop, and deploy production-grade AI solutions across renewable energy forecasting, predictive analytics, Generative AI, and enterprise automation .

The ideal candidate should have strong experience in Machine Learning, Deep Learning, Time Series Forecasting, LLMs, RAG, and production AI deployment .

Key Responsibilities

- Develop, test, deploy, and maintain AI/ML and Generative AI solutions.
- Build and optimise forecasting models for demand, wind, solar, renewable generation, and price forecasting .
- Perform data analysis, feature engineering, data cleansing, model evaluation, and error analysis.
- Develop GenAI and LLM-based applications , including RAG solutions.
- Build advanced retrieval systems using vector databases, reranking, and semantic search .
- Develop Agentic AI and Multi-Agent workflows for automation and enterprise use cases.
- Deploy AI models and applications using FastAPI/Flask, Docker, and AWS/Azure .
- Monitor model performance, accuracy, latency, and retraining cycles.
- Develop automation scripts and AI/ML workflows using Python and R .
- Collaborate with cross-functional teams and contribute to technical design, code reviews, and engineering standards.




- Mentor junior engineers and provide technical guidance.

Must-Have Skills
- Python and R
- Machine Learning and Deep Learning
- Statistics and Predictive Analytics
- Time Series Forecasting
- Generative AI and Large Language Models (LLMs)
- RAG (Retrieval-Augmented Generation)
- LangChain and/or LangGraph
- Vector Databases
- Agentic AI / Multi-Agent Systems
- FastAPI and/or Flask
- Docker / Containerisation
- AWS and/or Azure
- CI/CD and Production Model Deployment
- Model Monitoring and Model Retraining

Preferred Skills
- Renewable Energy / Utilities domain experience
- Demand, Wind, or Solar Forecasting
- Document Intelligence / Enterprise Automation
- OCR / Computer Vision / Document Extraction
- MLOps
- Power BI or Data Visualisation
- Experience mentoring or leading technical teams

Candidate Requirements
- 4–6 years of experience in AI, machine learning, data science, or related fields.
- Proven experience developing and deploying AI/ML models in production.
- Hands-on experience with GenAI, LLMs, and RAG applications.
- Robust programming and problem-solving skills.
- Experience working with scalable AI systems and cloud environments.

Interested candidates can apply directly through LinkedIn Recruiter.

📌 Senior AI Developer (Delhi)
🏢 .Kreate
📍 Delhi