Data Science Lead

Job Responsibilities:

• Lead end-to-end development of ML/DL models from data preprocessing to model deployment
• Design and implement advanced solutions using computer vision, NLP, and generative AI models (e g , Transformers, GANs)
• Apply and experiment with agentic AI approaches to build autonomous decision-making systems
• Collaborate with engineering, product, and business stakeholders to align AI solutions with business outcomes
• Work with large-scale datasets and implement MLOps pipelines for automated training, evaluation, and deployment on cloud (Azure preferred)
• Stay up to date with the latest AI research and apply state-of-the-art techniques in production systems
• Mentor junior data scientists and contribute to AI knowledge sharing across teams

Desired Skill:

• 8+ years of industry experience in data science, ML, or AI, with demonstrated project ownership
• Proficiency in Python and frameworks like TensorFlow, PyTorch, OpenCV, scikit-learn, etc
• Strong background in generative models (eg , LLMs, GANs, VAEs) and foundational ML techniques
• Expertise in computer vision, including object detection, image classification, and segmentation
• Experience in implementing agentic AI systems using modern orchestration tools and frameworks
• Hands-on experience with Azure AI services (e g, Azure ML, Cognitive Services, Azure OpenAI, Azure Blob for data handling)
• Solid understanding of MLOps practices (CI/CD, version control, model registry, monitoring)
• Strong analytical, problem-solving, and communication skills

Value Add (If Any):

• Should have worked as a Team Leader Purely Data Science profile with ML, GenAi, Python exp
• Good exp in GenAI, ML Notice period- Immediate

Qualification

• Any Tech degree, masters Candidates should report in office for a period of 6 months, later it will can be a Hybrid work mode 1 round of interview F2F must, 2 Technical, 1 Project Delivery exp is a must
• Should know about project deliverables Should have at least 3 project deliveries, real time
• Notice Period : Immediate to 15 days