Machine Learning Ops Engineer
Kyndryl
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 will have a significant impact on our products’ success, and you will be part of a team that is passionate about innovation, creativity, and excellence. Above all else, you will have the freedom to drive innovation and take ownership of your work while honing your problem-solving, collaboration, and automation skills. Together, we can make a difference in the world of cloud-based managed services. As a Machine Learning Ops Engineer you will be responsible for the end-to-end development of the solution, from the model creation/training phase to the deployment in a production environment; you will also manage the DevOps/MLOps operations applied to the AI services, ensuring that state-of-art best practices are met. The goal of the AI team is to develop cutting-edge products in areas ranging from Computer Vision to NLP. Your Future at Kyndryl The career path ahead is full of exciting opportunities to grow and advance within the job family. With dedication and hard work, you can climb the ladder to higher bands, achieving coveted positions such as Principal Engineer or Vice President of Software. These roles not only offer the chance to inspire and innovate, but also bring with them a sense of pride and accomplishment for having reached the pinnacle of your career in the software industry. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Expertise- Diploma or degree in Computer Science, Computer Engineering or related disciplines;
- 2+ years of programming experience in Python;
- Experience in using one or more Machine Learning and Deep Learning libraries (PyTorch, Tensorflow, scikit-learn) for creating or training models;
- Good knowledge of supervised and unsupervised learning algorithms;
- Good knowledge of the Linux environment;
- Good knowledge of DevOps practices and tools, in particular Docker;
- Excellent knowledge of CI/CD best practices
- Excellent analytical and problem solving skills;
- Propensity for teamwork and research;
- Good knowledge of English (B2 or above).
- Experience in creating and cleaning datasets;
- Experience in the use of SQL and NO-SQL databases;
- Experience in interacting with LLM and using LangChain;
- Familiarity with one or more cloud computing platforms (AWS, GCP, Azure)
- Knowledge of Kubernetes
Offerta di lavoro pubblicata 2 mesi fa
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