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)
