Kyndryl
cloud-based managed services
MachineLearningOpsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Ops Engineer at Kyndryl. Skills: Machine Learning Ops, DevOps, CI/CD, Machine Learning, Deep Learning. designing, developing, and implementing cutting-edge software solutions. implementing identified components using design documentation and functional programming specifications”
What You'll Achieve.
see the immediate value of your work; code will deliver value to our customers faster than ever before; attention to detail and commitment to quality will be critical in ensuring the success of our products; contributions will have a significant impact on our products' success; make a difference in the world of cloud-based managed services; achieving coveted positions such as Principal Engineer or Vice President of Software; make an impact; help shape what’s next
Industry & Context.
solving complex problems; Excellent analytical and problem solving; problem-solving skills
What They're Looking For.
Must Have
Diploma or degree in Computer Science, Computer Engineering or related, 2+ years of programming experience, Experience in using one or more Machine Learning and Deep Learning libraries (PyTorch, Tensorflow, scikit-learn) for creating or training, Good knowledge of supervised and unsupervised learning, Good knowledge of the Linux, Good knowledge of DevOps practices and tools, Excellent knowledge of CI/CD best practices, Excellent analytical and problem solving, Propensity for teamwork, Good knowledge of English (B2 or above)
Nice to Have
Experience in creating and cleaning, Experience in the use of SQL and NO-SQL, Experience in interacting with LLM and using, Familiarity with one or more cloud computing platforms (AWS, GCP, Azure), Knowledge of Kubernetes
What You'll Do.
and implementing cutting-edge software solutions
implementing identified components using design documentation and functional programming specifications
ensuring implemented components are appropriately documented
and ready for integration
architect the solution
deploy and build a CI/CD pipeline
provide work estimates for assigned development work
functional objectives
or technologies being built
end-to-end development of the solution
from the model creation/training phase to the deployment in a production
manage the DevOps/MLOps operations applied to the AI services
ensuring that state-of-art best practices are met
How You'll Work.
Team & Collaboration
Propensity for teamwork; collaboration skills; working with others; shared success
Communication Scope
Good knowledge of English (B2 or above)
Process & Methodology
provide work estimates for assigned development work
Full 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** Intesa, a company of the Kyndryl Group, as part of its growth and positioning as a centre of innovation and digital transformation, is looking for a **Machine Learning Ops Engineer.** Are you passionate about solving complex problems? Do you thrive in a fast-paced environment? Then there’s a good chance you will love being a part of our Software Engineering – Development team at Kyndryl, where you will be able to see the immediate value of your work. As a Machine Laerning Ops Engineer at Kyndryl, you will be at the forefront of designing, developing, and implementing cutting-edge software solutions. Your work will play a critical role in our business offering, your code will deliver value to our customers faster than ever before, and your attention to detail and commitment to quality will be critical in ensuring the success of our products. Using design documentation and functional programming specifications, you will be responsible for implementing identified components. You will ensure that implemented components are appropriately documented, unit-tested, and ready for integration into the final product. You will have the opportunity to architect the solution, test the code, and deploy and build a CI/CD pipeline for it. As a valued member of our team, you will provide work estimates for assigned development work, and guide features, functional objectives, or technologies being built for interested parties. Your contributions w
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