Senior Machine Learning Engineer - AI

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. 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.

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.

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.

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 - In-Office

Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. Food at the office – Meals are on us. Health insurance - Health always comes first. Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here.