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.). · Implement and fine-tune GenAI solutions (ChatGPT, OpenAI APIs, LangChain, etc.) for use cases such as smart assistants, data summarization, document generation, code copilots, and more. · 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). · Solid experience with OpenAI, HuggingFace, or similar GenAI platforms. · 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.