Vegapay - Principal Engineer - Data Science

Our Story : Vegapay Technology is a financial technology company. It partners with banks and financial institutions to digitize its financial infrastructure. It provides users with a credit suite featuring a wide breadth of modules and no-code configuration to design, deploy, and direct their credit programs. It provides access to build financial asset products including Card Management System, LOS, LMS, Co-lending, and more. Founded in 2022 by Gaurav Mittal, Himanshu Agrawal, Puneet Sharma, and Abhinav Garg, the startup is a B2B digital lending and Card Management Platform. Vegapays vision is to liberate financial institutions and fintech enterprises from every technical barrier which hinders offering a lending programme. Meet the Team : Gaurav Mittal - Gaurav is the Co-Founder and the CEO of the company. He has more than 18 years of experience and has worked with organizations like Zeta, Matchmove, MasterCard, Amex, and ICICI Bank. Abhinav Garg - Abhinav is the Co-Founder and the Head of engineering. He is from IIT Roorkee and has more than 12 years of experience working with organizations like Podeum and WalmartLabs. Himanshu Agrawal - Himanshu is the Co-Founder and the Head of Technology. He is from IIT Kanpur and has more than 12 years of experience working with organizations like Amazon and DE Shaw. Puneet Sharma - Puneet is the Co-Founder and the Head of Product. He is from IIT Roorkee and has more than 8 years of experience working with organizations like BharatPe, Avail Finance. Why This Role Matters : We are seeking a Principal Data Scientist/Engineer who will play a pivotal role in shaping our data-driven strategy, building advanced machine learning solutions, and ensuring scalable data engineering practices. This role requires a strong foundation in data science & ML, hands-on expertise in data engineering, and a forward-looking approach toward emerging technologies. The Hats You Will Wear : - Lead the design, development, and deployment of machine learning models for real-world business problems.- Drive end-to-end data pipelines, from data ingestion and transformation to model serving and monitoring.- Collaborate with cross-functional teams to define data strategies, ensuring high-quality, reliable data for analytics and ML use cases.- Mentor junior data scientists and engineers, setting best practices in modeling, MLOps, and data engineering.- Explore and evaluate emerging trends in Agentic AI and advanced ML techniques to incorporate into future product capabilities.- Work closely with product and engineering leadership to align data initiatives with business goals. The Perfect Fit : - Proven expertise in Data Science & Machine Learning (model development, deployment, and scaling).- Strong experience in Data Engineering (ETL pipelines, data warehousing, distributed systems).- Proficiency with Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.- Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Kafka, Databricks).- Solid understanding of MLOps practices (CI/CD for ML, model monitoring, reproducibility).- Excellent problem-solving, communication, and leadership skills. Your Edge Over the Rest : - Exposure to Agentic AI frameworks and research in autonomous AI systems.- Experience with LLMs, prompt engineering, and generative AI.- Knowledge of advanced optimization and reinforcement learning. Why Vegapay? Joining Vegapay means becoming part of a mission-driven team thats shaping the future of financial technology. You'll work in a fast-paced, innovative environment with the opportunity to make a tangible impact on our products and the industry. We offer competitive compensation, opportunities for growth, and a collaborative work culture that values innovation, transparency, and excellence. Locations : Bangalore. (ref:hirist.tech)