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

We are looking for a professional who brings his/her knowledge and experience in Data and artificial intelligence to implement and maintain Data & MLOps platforms in hyperscalers integrated with our customers' tools and methodologies.

We look for a person with a deep technical understanding of Machnie Learning as well as the concepts behind ML tools and Data enviroments in hyperscalers, specially Google Cloud (Big Query, Dataproc, Dataform and Dataplex).

We are just beginning to grow our Data and AI offerings, you should be ready to do whatever is necessary to make our team stronger.

You will work both on Kyndryl teams where we are building Machine Learning, Data or Generative AI solutions for our clients as well as with customers who are learning how to build MLOps in to their existing data environments.

Soft skills are a must to be successful. Must be able to ask well thought out questions and then be a good listener for the answer.

Who You Are

Who You Are

Required Technical and Professional Expertise

• Strong understanding of Data services in Google Cloud Platform (Big Query, Dataproc, Dataform, Dataplex, LookerStudio...).
• Knowledge of Python and the libraries required for data engineering (Pyspark, Pandas, etc…)
• Knowledge of MLOps/LLMOps platforms and methods , desirable in Dataiku.
• Understanding of monitoring, logging, and troubleshooting tools in GCP, and desirable in Dataiku.
• Collaboration skills to work with data scientists, data engineers, and other stakeholders and excellent communication skills and the ability to document processes.

  Preferred Technical and Professional Experience

  • BS, MS, or PhD in Mathematics, Computer Science, or a related field.
  • Knowledge of DevOps practices and continuous integration/continuous delivery (CI/CD) pipelines.
  • Experience with containerization tools such as Docker and orchestration tools like Kubernetes for models.
  • Certifications in GCP (Professional Cloud Architects, Professional Data Engineer or Professional Machine Learning)

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.