Role & responsibilities

- Design, develop, and deploy machine learning and generative AI models to address business needs.
- Work with large-scale datasets using Python, SQL, and industry-standard libraries (Scikit-learn, TensorFlow, PyTorch, Keras, AutoML, etc.).
- Develop and fine-tune LLM-based solutions (GPT-3, GPT-4, or similar models) for real-world applications.
- Ensure data quality, integrity, and compliance with best practices, frameworks, and coding standards.
- Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI-driven solutions.
- Explore and apply natural language processing (NLP) techniques for text understanding, summarization, and sentiment analysis.
- Implement solutions on cloud platforms (Azure, AWS, or GCP)



ensuring scalability and efficiency.
- Research and experiment with GenAI, Agentic AI models, and advanced frameworks to drive innovation.

Preferred candidate profile

- Prior experience in building or fine-tuning LLM applications.
- Familiarity with NLP techniques and tasks (NER, sentiment analysis, summarization, text classification).
- Exposure to AutoML frameworks and cloud AI services (Azure AI, AWS SageMaker, GCP Vertex AI).
- Experience with MLOps practices for model lifecycle management.
- Robust problem-solving, communication, and collaboration skills in multidisciplinary environments.

📌 Data Scientist (Telangana)
🏢 Genpact
📍 Telangana