AI/ML & GenAI Enablement

· Design and develop AI/ML models for prediction, anomaly detection, and optimization (e.g., Timeseries forecasting using TimeGPT, Scikit-learn, TensorFlow, etc.).

· Build AI workflows for CMMS, SCADA, industrial edge devices, and dashboard intelligence.

· Research and prototype AI agents tailored for industrial use cases.

Full Stack & Backend Engineering-

· Build scalable microservices using Python (FastAPI/Flask) or Node.js.

· Design REST APIs to serve AI models and data pipelines.

· Manage data ingestion from MQTT, REST, databases, and file-based sources.

· Deploy models and services on AWS/Azure, Docker, or Kubernetes environments.

Frontend & UX Involvement-

· Develop intuitive dashboards or tools using React.js, Syncfusion, or similar libraries.

· Create AI-powered UI features (e.g., natural language queries, AI-driven reports).

· Collaborate with design teams to provide real-time AI results to users.

Requirements

· Strong Python programming experience (including Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch).

· Full-stack web development using React.js + REST APIs (Flask/FastAPI/Node.js).

· Understanding of data pipelines, JSON processing, and data lake integrations (like S3/Athena).

· Experience working with MQTT, industrial data protocols, or time-series databases is a plus.

· Familiarity with tools like Git, Docker, Postgres/MongoDB, Redis, etc.