Data Scientist
Reads like a ML Engineer role: putting models into production.
KIN51514 Gurugram (KIN51514)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop and deploy Generative AI and LLM projects aligned with business goals
Build AI agents and contribute to Gen AI solutions
Design and deploy POCs and POVs across industry verticals
Demonstrate Generative AI applications to customers
Integrate AI/ML solutions into cloud environments with cross-functional teams
From the employer’s posting
Development and deploy Generative AI and LLM projects, ensuring alignment with business objectives.
Participate in the development of gen AI solutions, AI Agent development
Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals
Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.
Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).
What you’ll bring
All qualificationsCore experience
- Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.
- Experience in AI/ML, with a focus on Generative AI and Large Language Models.
- Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
- Experience in using LLM models on cloud i.e.
Qualification wording
Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.
Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).
Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI.
Tools in this posting
- C
- Python
- AWS
- Azure
- GCP
- C++
Source — Tool mentions in context
- Should have done 2-3 projects in domain of expertise, - Should have strong good knowledge of Python, C/C++. - Be fluent in English (written and spoken).
- Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses. - Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.). Who You Are
- Comfortable with development of AI Agents - Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS). - Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
- Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions. - Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI. - Should have done 2-3 projects in domain of expertise,
About Kyndryl Holdings
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.
In the employer’s words · Read in context
Posting record
Report an errorOpen 4 monthsWe first saw this listing 130 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 16, 2026 · 130 days ago
- Recorded sightings
- 249
- Last seen by us
- Oct 24, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on kyndryl.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
Who We Are
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
The Role
We are seeking a skilled Data Scientist with a minimum of 6 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of GenAI solutions, leveraging your technical expertise. The ideal candidate should have familiarity with business processes in 1 domain(.e.g Financial, Telecom, Retail) to quickly understand the requirements and come up with solutions to address the issues in these domains. Candidate is expected to have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
Responsibilities
- Development and deploy Generative AI and LLM projects, ensuring alignment with business objectives.
- Participate in the development of gen AI solutions, AI Agent development
- Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.
- Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.
- Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).
Who You Are
Requirements
MUST HAVE
- Graduate / Postgraduate in computer science or computer engineering or equivalent with 6-8 years of experience in the IT Industry.
- Minimum 4 years of hands on experience Data Scientist Role or Similar role.
- Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.
- Comfortable with development of AI Agents
- Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).
- Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
- Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI.
- Should have done 2-3 projects in domain of expertise,
- Should have strong good knowledge of Python, C/C++.
- Be fluent in English (written and spoken).
Being You
The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.
What You Can Expect
Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.
From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.
Get Referred!
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KIN51514 Gurugram (KIN51514)
What You Can Expect Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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