Nanonets is transforming the way businesses work. Our AI platform takes the manual, messy, time consuming work — that bog down industries like finance, healthcare, supply chain, and more — and turns them into seamless, automated processes. What once took hours of human effort now takes seconds with Nanonets. Our client footprint spans across 34% of Fortune 500 enabling businesses across various industries to unlock the potential of AI in automating their business processes.
More than 10,000 businesses trust Nanonets because we don’t just promise efficiency — we deliver it with unmatched accuracy, seamless integrations.
In 2024, we raised a $29M Series B led by Accel with continued backing from Elevation Capital and YCombinator, fueling our mission to reshape entire industries through intelligent automation. With revenues tripling year over year and a rapidly scaling global team, we’re not just imagining the future of work — we’re building it.
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The Role
We’re looking for a Deep Learning Analyst to help our customers unlock maximum value from the Nanonets Deep Learning Platform.
This role sits at the intersection of technical problem-solving, customer success, and product improvement — ensuring every customer achieves successful implementation and high model accuracy.
Single KPI:
Number of successful customer implementations leveraging Nanonets’ Deep Learning Platform.Responsibilities -
- Engage with customers to deeply understand their use cases, data, and automation goals.
- Analyze model performance and identify improvement opportunities to enhance accuracy.
- Work iteratively to optimize models and help customers achieve higher levels of automation.
- Collaborate closely with the Product and Engineering teams to drive platform-level solutions.
- Translate customer feedback into actionable insights and technical enhancements.
- Ensure smooth, successful deployment and measurable business impact for every customer.
We’re seeking someone who is a strong problem solver, customer-focused, and takes ownership end to end.
Ideal candidate profile:
- 2–4 years of experience as a Software Engineer, Data Engineer, Deep Learning Engineer, Data Scientist
- Hands-on Python experience is a MUST have
- SQL is a definitive plus
- Strong analytical and troubleshooting skills
- Curiosity, motivation, and a “figure-it-out” mindset
- A B.Tech degree or equivalent technical background
Note: Prior AI/ML experience is not required — strong fundamentals and problem-solving skills are sufficient.
Role DetailsThis is a fully remote role (anywhere in India) on a third-party contract for 1 year, with the option to extend. You’ll work in IST hours and be on third-party payroll — giving you flexibility and autonomy.
Top Skills
What We Do
Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning.
At Nanonets, we serve up the most accurate models. Always.
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