Deep Learning Analyst – Third-Party Payroll

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.

Read about the release here:

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The Role

Deep Learning Analyst

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.

What You’ll Do

• 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.

What We’re Looking For

strong problem solver

Ideal candidate profile:

• 2–4 years of experience as a

  Software Engineer, Data Engineer, Deep Learning Engineer or Data Scientist

• Hands-on Python experience

  is a MUST have
• Experience with LLMs and GenAI is preferred
• 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:

Role Details

This 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.

Interesting Projects Other DL Engineers Have Completed

• Setting New Standards:

  Through our Automation Benchmark, we are defining how AI systems are measured on grounding, reliability, and performance.

• Proven Adoption:

  Our Nanonets-OCR-S model on Hugging Face has already

  ~225,000 downloads

  , validating its global impact and utility.

• Global Recognition:

  Our research and open-source contributions are recognized by leading voices in AI (example).

• Enterprise-Ready AI:

  Our models don’t just output predictions - they provide

  grounded answers with confidence scores

  to enable trustworthy decision-making.

• Agentic OCR Systems:

  Unlike traditional OCR, our models are

  agentic

  - capable of reasoning about inputs, adapting to task context, and chaining multiple steps to deliver structured, actionable data.

VLM + LLM Innovation: