GenAI Engineer/Sr Data Science
Madrid HQ (KES51610), Spain
Kyndryl
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day.Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
The Role
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
Who You Are
Required Technical and Professional Expertise
- Proven experience designing, developing, and deploying Generative AI solutions, including work with Large Language Models (LLMs).
- Strong understanding of the AI model lifecycle: from data preparation and fine-tuning to monitoring and retraining.
- Hands-on experience with leading LLMs such as OpenAI GPT, Google Gemini, and Meta LLaMA, including prompt engineering, API integration, and/or model customization.
- Proficiency with modern AI frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
- Familiarity with MLOps/LLMOps pipelines and tooling to support production-ready deployments.
- Strong communication skills and the ability to work in cross-functional teams, collaborating with both technical and business stakeholders.
Preferred Technical and Professional Experience
- Degree in Computer Science, Telecommunications, Mathematics, or a related technical field.
- Master’s degree in Artificial Intelligence, Data Analytics, or related disciplines is highly valued.
- Strong academic foundation in machine learning, deep learning, and data engineering.
- Experience working with cloud platforms, preferably Azure; knowledge of Azure AI is a plus.
Being You
Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Azure Computer Science Consulting Data Analytics Data management Deep Learning Engineering Gemini Generative AI GPT LLaMA LLMOps LLMs Machine Learning Mathematics MLOps OpenAI Pipelines Prompt engineering PyTorch Statistics TensorFlow
Perks/benefits: Career development
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.