At Prodigal, we believe in transforming the future of consumer finance by bridging the gap between lenders, debt collectors, and consumers. Founded in 2018 by IITB Alumnus, our journey began with a single mission: to alleviate the pain and confusion often associated with lending and collections. We have since pioneered the concept of consumer finance intelligence, setting a new standard in the industry.

Our innovative approach combines advanced generative AI, meticulously trained on over 400 million consumer finance conversations, with strategies to maximize payments and enhance the consumer experience.

We are not just building technology—we are creating intelligent solutions that empower lenders, debt collectors, and consumers alike. Be part of a team that is reshaping the industry, one conversation at a time.

We are looking for a passionate and seasoned Senior Machine Learning (ML) Engineer to spearhead the design, development, and deployment of cutting-edge Machine Learning and Generative AI solutions towards Prodigal’s vision of building the Intelligence Layer for Consumer Finance.

Responsibilities:

ML Algorithm Development: Design and implement advanced ML algorithms leveraging traditional Machine Learning techniques and the modern NLP stack, including Large Language Models (LLMs)
Data Engineering & Software Development: Architect and implement data pipelines for ML model training. Lead scalable software systems development to deploy ML models into production systems, ensuring high performance and reliability.
Research & Innovation: Stay updated on ML research and the ever-changing Gen AI landscape, identifying opportunities for innovation.
Collaboration & Leadership: Effectively collaborate with cross-functional teams to deliver high-quality solutions on time. Guide team members in contributing to ML design discussions for new projects.

Requirements:

Extensive experience (5-8 years) in software development, with a focus on machine learning and data science in a tech company.
Proven track record of delivering high-quality ML products in a fast-paced, agile environment.
Deep understanding of machine learning algorithms with hands-on experience in developing and deploying machine learning models at scale.
Strong coding skills in Python. Familiarity with machine learning libraries such as PyTorch and sci-kit-learn. Experience with data manipulation and analysis tools like Pandas and Spark.
Strong communication and leadership skills, with the ability to effectively collaborate with cross-functional teams and mentor junior engineers.
Ability and willingness to work in person in our Thane office.

Preferred Qualifications:

Experience training and using Large Language Models (BERT, LLAMA, GPT etc) with a passion for applying Generative AI solutions in production environments.
Experience with cloud services (AWS) and building scalable, distributed systems.

Mode Of Work - On-site

From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.

To learn more about us - please visit the following

Our Story - https://www.prodigaltech.com/our-story

What shapes our thinking - https://link.prodigaltech.com/our-thesis

Our website - https://www.prodigaltech.com/