We are seeking a passionate and innovative Data Scientist to join our team and drive cutting-edge AI solutions across traditional machine learning, deep learning, and generative AI. If you enjoy solving complex problems, experimenting with the latest AI technologies, and building real-world applications, we'd love to connect.
Key Responsibilities :
- Design, develop, and optimize traditional AI / statistical models and deep learning architectures (RNN, LSTM, CNN, Transformers).
- Work with SQL, EDA, feature engineering, and data visualization to generate actionable insights.
- Build and fine-tune Generative AI, NLP, LLMs, Chatbots, Agentic AI, MCP-based systems using frameworks like OpenAI, GPT and beyond.
- Develop scalable backend solutions and model deployment pipelines using Django, FastAPI, Flask.
- Contribute to data engineering & ETL pipelines, including big data ecosystems (Spark, EMR).
- Apply MLOps best practices for continuous integration, delivery, and monitoring of models.
- Collaborate with cross-functional teams to build AI-driven applications that solve business challenges.
Required Skills & Expertise :
Strong foundation in Computer Science, Mathematics, and Statistics.Hands-on experience with Python / R programming.Proficiency in TensorFlow, Keras, and other deep learning frameworks.Experience in data modeling, big data tools, and large-scale data processing.Knowledge of Generative AI, NLP, and LLMs (OpenAI, GPT, Transformers, etc.).Understanding of MLOps, deployment pipelines, and cloud-based environments.What We Offer :
Opportunity to work on cutting-edge AI / GenAI projects with real business impact.Collaborative team environment fostering learning, innovation, and growth.Exposure to end-to-end AI product development - from data to deployment.(ref : iimjobs.com)