Lead Data Scientist

We are seeking a Senior Data Scientist with deep expertise in GenAI, Deep Learning, and ML to lead end-to-end development of AI solutions. This role involves designing scalable ML architectures, experimenting with LLMs and diffusion models, and mentoring junior team members.

Responsibilities:

• Lead the design, development, and deployment of machine learning and generative AI models.
• Build and fine-tune LLMs (e. g., GPT, LLaMA, Falcon) and multi-modal models for tasks like text generation, chatbots, summarization, and synthetic data/image generation.
• Architect scalable pipelines for data ingestion, preprocessing, model training, evaluation, and inference.
• Work on advanced NLP, CV, and multi-modal projects using transformers, diffusion models, etc.
• Guide experimentation with techniques like prompt engineering, RAG (retrieval-augmented generation), fine-tuning, LoRA, and model compression.
• Collaborate with data engineers, MLOps teams, and product stakeholders to integrate models into production.
• Conduct code and model reviews, mentor junior scientists, and provide technical leadership.
• Evaluate emerging tools, research papers, and frameworks to drive innovation.

Requirements:

• 5+ years of experience in data science, machine learning, or AI roles.
• 1-2 years of Exp in GenAI.
• Proven hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.
• Strong knowledge of deep learning architectures (CNNs, RNNs, Transformers).
• Experience with LLMs, prompt tuning, fine-tuning, and working with large-scale models.
• Familiarity with GenAI techniques (e. g., diffusion models, VAE, GANs, DALLE, Stable Diffusion).
• Proficiency with cloud platforms (AWS, Azure, GCP) and ML Ops tools (MLflow, Airflow, Docker, Kubernetes).
• Strong understanding of statistical methods, data wrangling, and EDA.