Are you passionate about natural language processing and working with cutting-edge AI technologies? Do you thrive in environments where you're building real-world solutions from the ground up? If yes, then I-genie.ai is looking for you! We are hiring a Data Scientist (NLP) to join our growing team of forward-thinkers, innovators, and problem-solvers who are shaping the future of intelligent solutions.
In this role, you won’t just be writing code, you’ll be building scalable, production-ready AI solutions. You'll take prototypes and MVPs and transform them into fully functioning products by implementing robust DataOps and DevOps practices. From data ingestion to deployment and monitoring, you’ll own it all.
This is an exciting opportunity to work at the intersection of machine learning, NLP, and large-scale data platforms playing a crucial role in shaping architecture strategies, optimizing infrastructure, and improving time-to-delivery and end-user experience.
What You’ll Do
- Translate data science MVPs into production-level solutions with full automation and monitoring.
- Design and implement efficient data pipelines using Databricks, PySpark, and the Azure ecosystem.
- Contribute to architectural decisions and infrastructure planning with an emphasis on scalability, performance, and cost-efficiency.
- Leverage your deep understanding of Natural Language Processing (NLP) to extract insights from complex, unstructured data.
- Work with Large Language Models (LLMs) and integrate them into intelligent systems and data pipelines.
- Continuously improve code quality and implement engineering best practices.
- Assist in designing governance mechanisms and standard processes to minimize technical debt and ensure sustainable growth.
- Collaborate cross-functionally with data engineers, product owners, and stakeholders.
Who You Are
- You bring 5+ years of hands-on experience working as a Data Scientist, especially in NLP-focused projects.
- You hold a Bachelor’s or Master’s degree in Computer Science or a related field from a reputed tier 1 or tier 2 engineering college in India.
- You have strong proficiency in Python and PySpark, you write clean, efficient, and maintainable code.
- You're comfortable working with Azure services and have deep expertise in Databricks.
- You’ve taken machine learning or NLP products to production and understand the challenges involved in operationalizing models.
- You have a working knowledge of SQL and are comfortable handling structured and semi-structured data.
- Your NLP toolbox includes hands-on experience with tools like SpaCy, NLTK, TextBlob, Transformers, OpenNLP, CoreNLP, and LLM APIs.
- Bonus points if you have experience processing text data in non-English languages and fine-tuning LLMs in a production setting.
What We Offer
- Remote-first culture. Work from anywhere in India with a supportive and collaborative team.
- Work-life balance. Fixed shift from 10 AM to 7 PM IST.
- Direct Hire Model via Deel. you will be a full-time permanent employee.
- Challenging projects that make a real impact, especially in the AI/NLP space.
- Opportunity to grow and influence architectural decisions across the organization.
Interview Process
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3 Rounds of interviews designed to evaluate your technical skills, problem-solving ability, and cultural fit.
How to Apply
- Click Apply on the Uplers Talent Portal.
- Register or log in to your profile.
- Complete the screening form and upload your updated resume.
- Once you’re through the assessment, you’ll be eligible for this and many other exciting opportunities on the portal.
About Uplers
Uplers is redefining the way global companies hire remote tech talent. We connect top Indian professionals with global opportunities, while ensuring seamless payroll, compliance, and support throughout the journey. With Uplers, you get more than a job—you get a partner who cares about your long-term success.
If you're ready for a career that challenges you to think beyond code, contributes to next-gen AI solutions, and allows you to work with some of the brightest minds in the industry, then don’t wait, apply now. We can’t wait to meet you.