Ai Ml Engineer

Job Title: AI/ML Engineer / Data Scientist

Location: Bangalore
Experience: 1 to 3 Years
Industry: Renewable Energy | Solar | Wind | BESS | Grid Automation

Job Summary

Seeking an AI/ML Engineer / Data Scientist to develop and implement machine learning models, forecasting solutions, predictive analytics, and AI-driven applications. The role involves working with real-world datasets to build predictive models, derive business insights, improve model performance, and explore Generative AI and Large Language Model (LLM) applications.

Key Responsibilities

• Develop, train, validate, and maintain machine learning models for forecasting, prediction, classification, and anomaly detection.
• Perform data cleaning, preprocessing, exploratory data analysis (EDA), and feature engineering.
• Build time-series forecasting models using historical and real-time data.
• Apply statistical analysis, hypothesis testing, and experimentation to derive actionable business insights.
• Evaluate and optimize models using appropriate performance metrics such as MAE, RMSE, and MAPE.
• Work with Generative AI, LLMs, prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG) applications.
• Develop data visualizations, dashboards, and analytical reports to communicate findings effectively.
• Integrate AI/ML models with software applications and REST APIs.
• Support model deployment, performance monitoring, documentation, and continuous improvement.
• Collaborate with software engineers, data teams, and domain experts to translate business requirements into AI/ML solutions.

Required Skills

• Strong programming skills in Python.
• Hands-on experience with Pandas, NumPy, Scikit-learn, and data visualization libraries such as Matplotlib.
• Good knowledge of SQL and databases.
• Strong understanding of machine learning, statistics, probability, regression, classification, clustering, and model evaluation.
• Knowledge of time-series forecasting techniques such as ARIMA/SARIMA, Exponential Smoothing, Prophet, and ML-based forecasting.

Preferred Skills

• Exposure to TensorFlow, PyTorch, XGBoost, or LightGBM.
• Familiarity with LangChain, OpenAI, Azure OpenAI, Gemini, Claude, embeddings, vector databases, and RAG.
• Knowledge of AI agents, tool calling, and workflow automation.
• Exposure to FastAPI, Git, Docker, Linux, cloud platforms, and CI/CD.
• Experience or project exposure in renewable energy, power systems, industrial IoT, forecasting, or optimization.