Lead Data Scientist

Job Title: Lead Data Scientist Company: slice Job Category: Machine Learning Roles & Responsibilities: About the role We are looking for a Lead Data Scientist with strong foundations in Machine Learning, Deep Learning, and Generative AI to lead the design, development, and deployment of scalable AI-driven solutions. This is hands-on technical expertise with system design capabilities, architectural thinking, and the ability to translate business problems into practical ML and GenAI applications. What You will do * Design, develop, train, evaluate, and deploy Machine Learning and Deep Learning models for real-world business applications. * Mentor team members and promote knowledge sharing, engineering quality, and continuous learning. * Build LLM-powered applications, including intelligent chatbots, Retrieval-Augmented Generation (RAG) systems, and Agentic AI workflows. * Develop, fine-tune, evaluate, and optimize ML models and LLMs, leveraging GPU infrastructure where required. * Design scalable ML architectures, reusable pipelines, and end-to-end workflows covering data processing, model training, deployment, and monitoring. * Apply strong software engineering and low-level design principles to build modular, reusable, maintainable, and high-performance AI systems. * Integrate LLMs into applications using LangChain or similar frameworks, along with embeddings, vector databases, and retrieval techniques. * Architect and optimize production-grade AI systems, considering scalability, reliability, latency, performance, and cost. * Collaborate with Data Scientists, Engineering teams, Product Managers, and business stakeholders to translate business requirements into effective AI solutions. * Evaluate emerging AI technologies, identify opportunities for AI-driven automation, and contribute to the technical roadmap for GenAI and Agentic AI initiatives. * Drive technical excellence through architecture reviews, best practices, knowledge sharing, and mentoring team members. Work Location: Bengaluru, Karnataka, India Availability: Full time

* Hands-on experience deploying ML models at scale in cloud or on-premises environments. * Proficiency in programming languages such as Python, and ML frameworks like TensorFlow, PyTorch, or JAX. * Familiarity with SOA (Service-Oriented Architecture) principles and microservices is a plus. * Familiarity with Docker, Kubernetes, REST APIs, cloud platforms, and MLOps practices. * Experience with agentic AI workflows and multi-agent systems. * Familiarity with AI governance, ethics, and regulatory compliance. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Model Training Salary: Not disclosed