Tredence Analytics Solutions - Senior Data Science Manager - Generative AI Solutions

Job Description : About the Role : We are seeking a seasoned AI professional with a strong background in Generative AI, Deep Learning, and Large Language Models (LLMs). As a senior leader, you will play a pivotal role in designing, developing, and scaling cutting-edge generative AI solutions that transform how we interact with data, customers, and products. This is a highly strategic and technical role, ideal for someone who thrives at the intersection of research, engineering, and leadership.Key Responsibilities : - Lead the design and development of generative AI solutions, including LLMs, diffusion models, GANs, and transformers.- Oversee the lifecycle of AI projects from problem framing, data acquisition, model development, to deployment and monitoring.- Mentor and lead a team of ML/AI engineers and researchers; provide technical guidance and architectural vision.- Collaborate with cross-functional teams (Product, Engineering, Data Science, Design) to embed AI capabilities into business-critical products.- Evaluate and implement state-of-the-art open-source or proprietary models (e.g., GPT, Claude, LLaMA, DALL-E, Stable Diffusion).- Drive model fine-tuning, prompt engineering, RLHF (Reinforcement Learning with Human Feedback), and scalable training strategies.- Ensure ethical and responsible AI development aligned with industry best practices.Required Qualifications : - 12 - 16 years of experience in AI/ML, with at least 3 - 5 years in Generative AI or LLM-based development.- Advanced degree (PhD or Master's) in Computer Science, Machine Learning, Mathematics, or related field.- Strong programming skills in Python, and experience with ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face).- Proven experience working with LLMs (e.g., GPT, BERT, T5, LLaMA) or vision-language models.- Deep understanding of deep learning architectures : Transformers, Attention Mechanisms, GANs, VAEs, etc.- Track record of deploying AI models in production environments (MLOps experience is a plus).- Familiarity with cloud platforms (AWS, Azure, GCP) and scalable model training/inference pipelines.Preferred Qualifications : - Experience leading AI research initiatives or contributing to publications.- Hands-on with vector databases, embedding models, retrieval-augmented generation (RAG).- Strong understanding of AI ethics, fairness, interpretability, and safety in generative models.- Prior experience in domains such as healthcare, fintech, enterprise SaaS, or creative industries is a plus.Why Join Us?- Work on cutting-edge generative AI applications with real-world impact.- Be part of a fast-growing, innovation-driven AI team.- Competitive compensation, flexible work environment, and opportunities for professional growth. (ref:hirist.tech)