We are hiring a Data Engineer to build and maintain robust data infrastructure and pipelines. You will design scalable data systems, optimize data workflows, and enable data-driven decision-making across the organization. This role involves working with large datasets, cloud platforms, and modern data technologies to support analytics and machine learning initiatives.

We are seeking an experienced Natural Language Processing (NLP) & Conversational AI Engineer to join our team. You will be responsible for developing, deploying, and maintaining advanced NLP systems and conversational AI applications. The role involves building intelligent language models, optimizing ML infrastructure, and collaborating with cross-functional teams to deliver cutting-edge AI solutions.

The AI/ML Lead will design and implement scalable AI/ML models to support the Nanaji Deshmukh Krushi Sanjivani Project 2.0. This role is critical for developing machine learning solutions that enhance climate-resilient agriculture through real-time inference, automated data classification, and continuous model improvement. KEY FOCUS AREAS: - Scalable AI/ML model design and implementation - Real-time inference and prediction systems - MLOps pipeline development for monitoring and retraining - AI-driven automation for agricultural data classification - Cross-functional collaboration with engineering teams - IT infrastructure support to PMU and divisional project offices