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.