ROLE
– Design, train, and deploy ML/DL & Generative AI solutions across time series, text, and unstructured data
– Build and fine-tune LLMs using techniques like RAG, prompt engineering, and domain-specific adaptation
– Develop Agentic AI frameworks for autonomous decision-making and intelligent orchestration of IoT and enterprise workflows
– Implement advanced algorithms for forecasting, predictive maintenance, anomaly detection, and monitoring
– Drive AI strategy and leadership through research, integration into production systems, team mentorship, and innovation in pipelines and model deployment

REQUIREMENTS
– 3–5 years of experience in Data Science, ML, or AI in an industry setting
– Excellent problem-solving, organizational, and leadership skills with proven ability to deliver production-grade AI solutions