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. .