ML Engineer - II

Hiring Manager : Ankan Saha

About Navi

Navi is one of the fastest-growing financial services companies in India providing Personal & Home Loans,UPI, Insurance, Mutual Funds, and Gold. Navi's mission is to deliver digital-first financial products that are simple, accessible, and affordable. Drawing on our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to building delightful customer experiences.

Founders :Sachin Bansal & AnkitAgarwal

Know what makes you a “Navi_ite” :

1. Perseverance, Passion and Commitment

➔ Passionate about Navi’s mission and vision

➔ Demonstrates dedication, perseverance and high ownership

➔ Goes above and beyond by taking on additional responsibilities

2. Obsession with high quality results

➔ Consistently creates value for customers and stakeholders through high quality outcomes

➔ Ensuring excellence in all aspects of work

➔ Efficiently manages time, prioritizes tasks, and achieves higher standards

3. Resilience and Adaptability

➔ Adapts quickly to new roles, responsibilities, and changing circumstances, showing resilience and agility

About the role

ML @Navi:

● At Navi, the ML team is the backbone behind scalable and efficient platform capabilities to manage the entire model-lifecycle : feature-store pipelines, auto-train and retrain capabilities, templatized model-deployments, out-of-the-box real-time monitoring and observability platform for tracking NFR metrics, data & model drifts.

● We're not just keeping up with innovation; we're setting the pace. Our team is constantly pushing the boundaries and also developing in-house data-products & solutions extracting value from alternate sources of data powering use-cases across fintech sectors : Lending, Insurance,Investments, UPI that amplify business growth, enhance customer experiences, and streamline operational processes.

● Our work isn't confined to a single domain. We tackle a diverse set of problem statements, from GenerativeAI to NLP to computer vision to speech recognition. Each day brings a new challenge and a new opportunity for breakthroughs.

● When you join us, you're not just taking a job; you're becoming a part of a movement. A movement that's making a tangible difference in the fintech landscape, one innovative solution at a time.

Ready for a transformative career journey? Join us at Navi and be a part of a team that's shaping the future of fintech.

What you gain by working with the ML team at Navi ?

● Own Your Journey from Start to Finish : Take pride in having end-to-end ownership of your

projects. You won't just be a cog in the machine; you'll be the architect, designer, and implementer of cutting-edge product/platform solutions that drive our business forward.

● Build state-of-the-art capabilities : You get a chance to build and contribute to feature-extraction solutions(tapping into plethora of sources of data), in-house feature-store, auto-ml pipelines,ds-model-serving platform, real-time-monitoring-system to tackle data/model/business-metric drifts. Our high-growth, agile environment offers a treasure trove of data, giving you the freedom to experiment, innovate, and make data-driven decisions that matter.

● Make a Tangible Impact : Your work won't just sit on a shelf; it will make waves. By closely

collaborating with stakeholders across departments, you'll have the opportunity to design and

develop solutions that not only solve complex problems but also make a meaningful impact on the industry and lives of millions of Indians.

● Personal Growth : Collaborate with a diverse group of high-performing professionals who are as passionate about the field as you are. Our culture fosters continuous learning and upskilling, setting you up for ongoing success and accelerated career growth.

What we are looking for ?

● Bachelor's or Master's in Engineering or equivalent.

● Minimum 2+ years of experience in applied machine learning.

● Strong proficiency in at least one of the following languages: Scala, Kotlin, Python, Go.

● Should have worked on large-scale data-processing technologies like spark

● Drive to explore, improve, enhance, automate, and optimize distributed systems and tools to meet evolving business needs.

● Demonstrable coding practices, including meticulous design documentation, thorough unit testing, peer code reviews, and a preference for agile methods.

● Experience of working with data scientists, engineering and product teams to develop platform capabilities and deploy ML models at scale

● Strong interpersonal skills, showcasing effective stakeholder management.

● Excellent verbal and written communication skills