Senior Machine Learning Engineer

Prodigal

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profile Job Location:

Mumbai - India

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

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.

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 Prodigals Intelligence Engine (PIE) were creating the next-generation agentic workforce - one that empowers companies to achieve unprecedented levels of operational excellence and intelligence.

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 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.

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.

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 Prodigals 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.

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 - In-Office

Job Benefits

  • World-class 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 allowance 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 4thdrink (of course thats Nimbu Pani)

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)

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 - shapes our thinking - website - Experience:

Senior IC

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 ...
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Key Skills

  • Industrial Maintenance
  • Machining
  • Mechanical Knowledge
  • CNC
  • Precision Measuring Instruments
  • Schematics
  • Maintenance
  • Hydraulics
  • Plastics Injection Molding
  • Programmable Logic Controllers
  • Manufacturing
  • Troubleshooting

About Company

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Drive personalized treatment strategies with our platform, turning unstructured data into actionable insights for improved servicing and collections outcomes.

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