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Data Scientist
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Data Scientist

Preeti Rai's profile picture
Posted by Preeti Rai
0 - 6 yrs
₹2L - ₹15L / yr (ESOP available)
Gurugram
Skills
skill iconData Science
skill iconR Programming
skill iconPython
● Responsible for developing new features and models as part of our core product through
applied research.
● Understand, apply and extend state-of-the-art NLP research to better serve our customers.
● Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models.
● Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.
● Think creatively to identify new opportunities and contribute to high-quality publications or patents.
Desired Qualifications and Experience

● At Least 1 year of professional experience.
● Bachelors in Computer Science or related fields from the top colleges.
● Extensive knowledge and practical experience in one or more of the following areas: machine learning, deep learning, NLP, recommendation systems, information retrieval.
● Experience applying ML to solve complex business problems from scratch.
● Experience with Python and a deep learning framework like Pytorch/Tensorflow.
● Awareness of the state of the art research in the NLP community.
● Excellent verbal and written communication and presentation skills.
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Shubham Vishwakarma

Full Stack Developer - Averlon
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About Ezeiatech systems

Founded :
2011
Type :
Services
Size :
20-100
Stage :
Profitable

About

Founded over 8 years ago, we’ve grown from a small team in India’s startup city Gurgaon to a leading global software consultancy. Ezeiatech is the next-generation global technology company that is helping enterprises reimagine their businesses for the digital age. Our technology products, services, and engineering are built on years of innovation, a strong culture of invention and risk-taking, and a relentless focus on customer relationships.
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Ankita Singh
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Muskan Mendiratta
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Preeti Rai
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Neha Kataria

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A Little Bit About the Role


We are looking for a Senior Product Engineer (L3) who thrives in complexity. Most engineers build on blank canvases — you build on someone else’s mess and leave it better than you found it.


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Cursor and Claude are your primary tools — not supplements. Engineers at L3 who are not using AI at the codebase level are not operating at this level.


At L3, AI-assisted engineering means:

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This is the primary L3 engagement type at Fountane. You will be handed existing, partially documented codebases — built by previous teams, often without tests, with inconsistent patterns — and your job is to refactor them into a clean, AI-promptable state without losing existing functionality. You use Cursor’s codebase context window to navigate safely, write characterisation tests before touching anything, and make changes in small, reviewable increments. The standard is: every module you leave should be easier to extend by AI tooling than when you found it.


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Production Incident Response

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Codebase Navigation & Safe Refactoring

On all engagements — not just Cleaning Phase work — keep changes small, focused, and reviewable. One type of change per commit. Write tests that document existing behaviour before restructuring. Leave every module easier to understand than when you found it.


Code Review

Review pull requests from L1 and L2 engineers with specific, actionable feedback — not rubber-stamp approvals. A good code review at L3 leaves the author understanding what to do differently next time, not just what to fix now. Review weekly; do not let PRs age.


Mentoring

Review junior engineers’ code weekly with specific, useful feedback — this is distinct from quality-gate code review. The goal here is teaching, not gatekeeping. Run monthly pairing sessions to help them grow. The measure of good mentoring is whether they are becoming more capable and less dependent on you over time.


Documentation

Write short decision records when you make significant technical choices. Leave every module you touch easier to understand than when you found it. Treat documentation as part of the engineering work, not a separate task you do at the end.


Qualifications


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Fountane is a technology ventures lab - one part product studio, one part startup engine. We build high-quality software and AI products for clients ranging from fast-moving startups to large enterprises, and we co-build and invest in new companies when we see the right opportunity.


Founded in 2017 and headquartered in Minneapolis, we have grown to 60+ people across four continents and were recognised as one of America’s fastest-growing companies, ranking No. 699 on the Inc. 5000 with 595% three-year growth.


We are radically open-minded, serious about craft, and direct about expectations. If you want to do meaningful work without politics, this is the place.



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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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