Lead - Machine Learning Engineer

<div class="content-intro"><p style="text-align: justify;">At Prodigal, we are building AI Agents for loan servicing and collections. Founded in 2018 by IITB alumni, our journey began with one bold mission: to eradicate the inefficiencies and confusion that have plagued the lending and collections industry for decades. We are backed by Y Combinator, Accel and Menlo Ventures. </p> <p style="text-align: justify;">Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for consumer finance. Powered by our cutting-edge platform, Prodigal’s Intelligence Engine (PIE), we’re creating the next-generation agentic workforce - one that empowers companies to achieve unprecedented levels of operational excellence and intelligence.</p> <p style="text-align: justify;">With over half a billion consumer finance interactions processed and a growing impact on more than 100 leading companies across North America, we’ve established ourselves as the go-to partner for organizations that demand more from their AI solutions. Our unparalleled experience, coupled with our trusted customer relationships, uniquely positions us to build Agentic AI applications that will revolutionize the future of consumer finance.</p> <p style="text-align: justify;">At Prodigal, we are driven by a singular, unrelenting purpose: to transform how consumer finance companies engage with their customers and, in turn, drive successful outcomes for all. </p></div><p>We're seeking a Lead Machine learning engineer to join our team in building cutting-edge products that shape the future of consumer finance. As a member of our team, you will oversee complex technical problems, build new features, and improve existing products. Our teams are constantly pushing the boundaries of applied intelligence in consumer finance and we're looking for passionate individuals who can help us advance us further. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.</p> <h3>Responsibilities:</h3> <ul> <li><strong>Partner with the CTO to drive the team's goals and technical direction</strong> to pursue opportunities that make the organization more efficient</li> <li><strong>Effectively communicate complex features</strong> and systems in detail</li> <li><strong>Understand industry company-wide trends</strong> to help assess develop new technologies</li> <li><strong>Partner with the CTO to lead long term technical vision and roadmap</strong> for Machine Learning and the entire organization</li> <li>Suggest, collect and synthesize requirements and <strong>create an effective feature roadmap</strong></li> <li>Design and develop Machine learning products and services leveraging AI (LLMs, Agentic AI, classical ML, the modern NLP stack etc)</li> <li>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.</li> <li>Stay updated on ML research and the ever-changing Gen AI landscape, identifying opportunities for innovation.</li> <li><strong> </strong>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.</li> </ul> <h3>Requirements:</h3> <ul> <li>Extensive experience 5+ years in software development, with a focus on machine learning and data science in a tech company. </li> <li>Proven track record of delivering high-quality ML products in a fast-paced, agile environment.</li> <li>Deep understanding of machine learning algorithms with hands-on experience in developing and deploying machine learning models at scale.</li> <li>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 Spar ... (truncated, view full listing at source)