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 and Puneet Sharma, the startup is a B2B digital lending and Card Management Platform. Vegapay’s 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 is having more than 20 yrs of experience and has worked with organisations like Zeta, Matchmove, MasterCard, Amex and ICICI Bank.
Himanshu Agrawal - Himanshu is the Co-Founder and the Head of Technology. He is from IIT Kanpur and has more than 14 yrs of experience working with organisations 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 10 years of experience working with organisations 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
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Lead the design, development, and deployment of machine learning models for real-world business problems.
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Drive end-to-end data pipelines, from data ingestion and transformation to model serving and monitoring.
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Collaborate with cross-functional teams to define data strategies, ensuring high-quality, reliable data for analytics and ML use cases.
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Mentor junior data scientists and engineers, setting best practices in modeling, MLOps, and data engineering.
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Explore and evaluate emerging trends in Agentic AI and advanced ML techniques to incorporate into future product capabilities.
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Work closely with product and engineering leadership to align data initiatives with business goals.
The Perfect Fit
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Proven expertise in Data Science & Machine Learning (model development, deployment, and scaling).
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Strong experience in Data Engineering (ETL pipelines, data warehousing, distributed systems).
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Proficiency with Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
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Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Kafka, Databricks).
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Solid understanding of MLOps practices (CI/CD for ML, model monitoring, reproducibility).
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Excellent problem-solving, communication, and leadership skills.
Your Edge Over the Rest
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Exposure to Agentic AI frameworks and research in autonomous AI systems.
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Experience with LLMs, prompt engineering, and generative AI.
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Knowledge of advanced optimization and reinforcement learning.
Why Vegapay?
Joining Vegapay means becoming part of a mission-driven team that’s 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.
