Lead Data Scientist

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. 

What you will need:

• 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. 
   

Life at slice: 

Life so good, you’d think we’re kidding:  

• Competitive salaries. Period.  

• An extensive medical insurance that looks out for our employees & their dependents. We’ll love you and take care of you, our promise.  

• Flexible working hours. Just don’t call us at 3AM, we like our sleep schedule.  

• Tailored vacation & leave policies so that you enjoy every important moment in your life.     

• A reward system that celebrates hard work and milestones throughout the year. Expect a gift coming your way anytime you kill it here.   

• Learning and upskilling opportunities. Seriously, not kidding.  

• Good food, games, and a cool office to make you feel like home. An environment so good, you’ll forget the term “colleagues can’t be your friends”. 

We believe in equality. Period. 

At slice, we are committed to building a diverse and talented workforce. We never discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by the applicable law. 

We consider all qualified job-seekers with criminal histories in a manner  consistent with the applicable law. Additionally, we are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. 

Come join our crew!   

About slice:

slice

A new bank for a new India

slice’s purpose is to make the world better at using money and time, with a major focus on building the best consumer experience for your money. We’ve all felt how slow, confusing, and complicated banking can be. So, we’re reimagining it. We’re building every product from scratch to be fast, transparent, and feel good, because we believe that the best products transcend demographics, like how great music touches most of us.

Our cornerstone products and services: slice savings account, slice UPI credit card, slice UPI, and slice business are designed to be simple, rewarding, and completely in your control. At slice, you’ll get to build things you’d use yourself and shape the future of banking in India. We tailor our working experience with the belief that the present moment is the only real thing in life. And we have harmony in the present the most when we feel happy and successful together.

We’re backed by some of the world’s leading investors, including Tiger Global, Insight Partners, Advent International, Blume Ventures, and Gunosy Capital.