Machine Learning Engineer
Machine Learning Engineer
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Job Description
At Prodigal were reshaping the future of consumer finance. 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.
Today we stand at the forefront of a seismic shift in the industry pioneering the concept of consumer finance intelligence. Powered by our cuttingedge platform Prodigals Intelligence Engine were creating the nextgeneration agentic workforce for consumer financeone that empowers companies to achieve unprecedented levels of operational excellence.
With over half a billion consumer finance interactions processed and a growing impact on more than 100 leading companies across North America weve established ourselves as the goto partner for organizations that demand more from their AI solutions. Our unparalleled experience coupled with our trusted customer relationships uniquely positions us to build generative AI solutions that will revolutionize the future of consumer finance.
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.
About the Role
Were looking for a curious and resilient Machine Learning Engineer who thrives in a culture of experimentation and rapid iteration. Our ideal candidate doesnt just apply AI concepts theyre excited to push boundaries challenge assumptions and learn from both successes and failures. If you believe that the only true failure is not experimenting quickly we want you on our team.
Key Responsibilities
- Embrace a fail fast learn faster mentality aiming for a 2030 success rate in your ideas and experiments. Continuously optimize our experimentation process making it faster more efficient and more insightful
- Apply AI concepts to solve business problems with a focus on rapid prototyping and iterative improvement
- Leverage SQL and data manipulation tools to work with complex datasets exploring unconventional approaches
- Apply statistical methods machine learning algorithms and data visualization techniques to perform exploratory data analysis embracing unexpected insights
- Build and interpret models using tools like PySpark and MLFlow constantly testing new approaches and parameters
- Write clean welldocumented code that facilitates collaboration and hence faster iteration
- Continuously evaluate and enhance existing models viewing each iteration as an opportunity to learn and improve
Technical Skills
- Proficiency in rapidly prototyping and testing ideas using large complex datasets and SQL
- Expertise in implementing and iterating on machine learning models and algorithms with a focus on quick experimentation cycles
- Strong programming skills in Python and/or SQL with an emphasis on writing code that facilitates easy modification and testing
- Experience in leveraging data visualization techniques to quickly interpret and communicate experimental results
- Ability to swiftly deploy and iterate on AI solutions in cloud environments
Soft Skills
- Passionate about experimentation and embracing failure viewing setbacks as valuable learning opportunities
- Excellent written and verbal communication skills able to articulate the value of experimentation and rapid iteration to stakeholders
- Thrives in ambiguity and uncertainty comfortable with the idea that most experiments will not succeed; also designing good experiments is a crucial part of the R&D process
- Skilled at analyzing problems from multiple angles and generating a high volume of potential solutions
Preferred Qualifications
- Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics or a related field (Tier 1 colleges are preferred)
- Minimum of 3 years of handson experience in data analysis modeling and AI solutions development
If youre passionate about leveraging data to drive business decisions and have a track record of delivering impactful AI solutions we want to hear from you!
Mode of Work OnSite
Job Benefits
- GenAI experience Work directly in the innovative field of GenAI shaping groundbreaking projects that redefine consumer finance intelligence.
- Worldclass team Youll get the chance to learn from (and teach) some of the brightest and most skilled people youll ever meet. Our team members have been part of BCG Deloitte EY Blackstone Meta Amazon and are IIT IIM BITS alumnus.
- 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 thats not where it ends. If you make a good case for some extra learning were delighted to foot the tab.
- Food at the office Meals are on us. We wont let your stomach grumble while you hustle.
- Health insurance Health always comes first. The health of your family is as important to us as it is to you. We offer insurance coverage for both you and your family.
- Flexible schedule Were not a clock in clock out company. Morning person Start work while the worlds still sleeping. Night owl Ramp things up while others are winding down. Youre fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
- Generous leave policy Take all the time you need to recharge your batteries no cap on vacation here. Because a rested relaxed and refreshed mind is a happy and effective mind.
- Recreation & team activities We regularly indulge in friendly football table tennis cooking sessions and challenge each other to do those extra push ups or chug that 4th drink (of course thats Nimbu Pani).
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 fastpaced intellectuallystimulating 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:
Employment Type
Full Time
Key Skills
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