Principal Data Scientist

As a Principal Data Scientist in Gurgaon, you will play a crucial role in developing cutting-edge Machine Learning and Generative AI solutions. Your responsibilities will include leading the design, development, and validation of complex ML models and predictive analytics systems. You will focus on applying Generative AI and Deep Learning techniques to solve novel business problems. Additionally, you will be involved in the end-to-end model development process, from research and prototyping to production deployment, impacting core business intelligence and customer-facing products directly. Collaboration with engineering teams to integrate models into the final product is also a key aspect of your role. Key Responsibilities: - Lead the design, development, and validation of complex Machine Learning models and predictive analytics systems. - Focus on research and application of Generative AI (LLMs) and Deep Learning techniques to solve novel business problems. - Develop and productionize models using Python and ML frameworks (PyTorch/TensorFlow). - Implement best practices for MLOps, including model monitoring, versioning, and continuous training. - Translate ambiguous business problems into well-defined data science and engineering tasks. - Collaborate with engineering teams to integrate models into the final product. Qualifications Required: - 8+ years of experience in Data Science or ML Engineering, with a strong research background (MS/PhD preferred). - Expert proficiency in Python and libraries like NumPy, Pandas, and Scikit-learn. - In-depth knowledge of Deep Learning and frameworks like PyTorch or TensorFlow. - Proven experience in Natural Language Processing (NLP) and working with large language models (LLMs). - Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP AI Platform). - Strong statistical modeling, data analysis, and communication skills. No additional details about the company are mentioned in the job description.,