AI / ML Engineer – Fresher

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.