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!
If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.
Skills Required
- Graduate/Postgraduate in Computer Science, Computer Engineering, or equivalent with 6-8 years in the IT industry
- Minimum 4 years of hands-on experience in a Data Scientist role or similar
- Strong understanding of Transformers, LLMs, fine-tuning, agents, and RAG techniques
- Comfortable with development of AI Agents
- Experience in Generative AI and LLMs and working with cloud platforms (Azure, GCP, AWS)
- Understanding of deploying LLMs on cloud/on-premise and using APIs to build industry solutions
- Experience using cloud LLM offerings (Azure OpenAI, AWS Bedrock, GCP Vertex AI)
- Completed 2-3 projects in a domain of expertise (e.g., Financial, Telecom, Retail)
- Strong knowledge of Python and C/C++
- Fluent in English (written and spoken)
- Familiarity with business processes in at least one domain (Financial, Telecom, Retail)
- Expertise in data engineering, DevOps, and MLOps practices
Kyndryl Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kyndryl and has not been reviewed or approved by Kyndryl.
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Fair & Transparent Compensation — Pay is considered good in some roles, with mentions of “good pay,” “great pay and benefits,” and an “acceptable salary range” paired with bonuses. Certain senior or consulting tracks are described as market-competitive.
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Leave & Time Off Breadth — Vacation, paid time off, holidays, and a dedicated volunteer day are highlighted as positives. Parental leave exists companywide alongside sick leave and disability coverage.
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Wellbeing & Lifestyle Benefits — Remote and hybrid flexibility is emphasized, including 100% remote roles and a formal flexible workplace policy. Well‑being resources such as the Be Well program and an EAP are available.
Kyndryl Insights
What We Do
We have the world’s best talent that design, run, and manage the most advanced and reliable technology infrastructure each day. Together, we think holistically about the health of these vital technology ecosystems. We are a focused, independent company that builds on our foundation of excellence by creating systems in new ways. Bringing in the right partners, investing in our business, and working side-by-side with our customers to unlock potential. We're raising the bar. Our experience speaks for itself: We have 90,000 highly skilled employees around the world serving 75 of the Fortune 100. But our purpose is what drives us: Advancing the vital systems that power human progress. Because when a digital ecosystem is healthy, it can more readily adapt and support continuous growth and that opens up a world of possibility for everyone.









