Associate Principal - Data Sciences

As an experienced R&D Specialist with a strong background in Generative AI and complementary expertise in Computer Vision and Predictive Modeling in the Retail and Consumer space, your role will involve driving the research, design, and prototyping of AI-based solutions for industrial applications, digital twins, and autonomous systems. **Key Responsibilities:** - Lead and contribute to applied research in Generative AI, encompassing LLMs, Vision-Language Models (VLMs), Multimodal AI, and Prompt Engineering. - Collaborate with product and engineering teams to translate GenAI research into real-world use cases for various industries. - Conduct R&D in Traditional AI domains such as Computer Vision (object detection, segmentation, OCR) and Predictive Analytics (RUL, anomaly detection, forecasting). - Build and evaluate AI models using tools like PyTorch, TensorFlow, Hugging Face, LangChain, OpenCV, Scikit-learn, etc. - Publish internal white papers, IP disclosures, and present research outcomes to leadership and stakeholders. **Qualifications Required:** - 7-12 years of hands-on experience in AI/ML R&D, with at least 2-3 years in Generative AI. - Strong expertise in LLMs, including fine-tuning, model evaluation, vector databases, and inference pipelines. - Deep knowledge in either Computer Vision (e.g., CNNs, YOLO, Mask R-CNN) OR Predictive Modeling (e.g., time-series, survival models). - Experience in deploying models in Edge/Cloud/MLOps pipelines and working with enterprise data platforms. - Proficient in Python programming with skills in notebook-based prototyping, REST APIs, and ML libraries. **Good To Have / Preferred:** - Knowledge of Agentic AI, Digital Twins, or Simulation-based learning. - Experience in industrial AI domains like smart factory, quality inspection, predictive maintenance. - Exposure to generative vision models like Diffusion Models, GANs, or NeRFs. - Collaborative experience in multidisciplinary R&D teams. - Contributions to open-source projects, patents, or publications in AI/ML. If there are any additional details regarding the company in the job description, they are not provided in the text.,