Jobs

MLOps Engineer


Job details
  • GlobalLogic
  • London
  • 3 months ago
Applications closed

MLOps Engineer We are GlobalLogic, a Hitachi GroupCompany. Based across 19 countries, GlobalLogic is a leader indigital engineering. We help brands across the globe design andbuild innovative products, platforms, and digital experiences forthe modern world. By integrating experience design, complexengineering, and data expertise – we help our clients imaginewhat’s possible and accelerate their transition into tomorrow’sdigital businesses. At GlobalLogic, we have a phenomenal trackrecord of successfully delivering ground-breaking Cloud &Digital Transformation programmes and we have an internationalreach working with a wide variety of projects and customers. Ourapproach enables companies “build the exceptional” and be fit forpurpose in the 21st century. This role is based in our UK&Iregion. About the role: Responsible for developing software andpipelines to shorten the algorithm development life cycle from datacuration to integration and deployment to support AI technologiesthat will help improve our users’ experience. Develop continuousintegration and deployment (CI/CD) pipelines on top of ML modelinfrastructure for multiple ML development teams. Design anddevelop data engineering tools to store, manage, query andvisualize big datasets. Create data and metric visualization tools,web UI dashboards for model performance and data drift monitoring.AWS Sagemaker, Terraform About you (ideally): We hire based onpersonality, potential, and enthusiasm to make a difference, thenwe give you the tools and skills you need to follow your own path.You’ll benefit by gaining exposure to a wide range of tools andtechnologies that you can then put into practice and becomecertified on various Cloud (and related) technologies that willhelp you to develop your own toolkit. Proven experience as an MLOpsEngineer or in a similar role, with an excellent understanding ofAI/ML lifecycle management. You’ll have strong experience deployingand productionising ML models Familiarity with data engineeringconcepts, including data pipelines, ETL processes, and big datatechnologies. Excellent problem-solving skills and the ability totroubleshoot complex issues in AI/ML systems. Technical Insight:Skills with MLOps concepts and principles Experience with cloudplatforms (e.g., AWS, Google Cloud, Azure) and containerizationtools (e.g., Docker, Kubernetes). Proficiency in programminglanguages such as Python, experience with AI/ML frameworks (e.g.,TensorFlow, PyTorch), and experience with MLOps frameworks/tools(e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow,MLFlow, Seldon, EvidentlyAI) Why work at GlobalLogic. Our goal isto build an inclusive positive culture where everyone can feelcomfortable being themselves, empowering our people to create theirown high standards and therefore more value. We work together topromote fairness while recognising, valuing and embracingdifferences – providing a transparent support structure andgenerous training budget to help our people develop skills toprogress their career. Our region also supports a hybrid modelwhich can flex across a wide spectrum of working options determinedby our business, customer and individual needs. You’ll benefit froma comprehensive health and wellness plan, private healthcare(clinical and mental wellbeing), and discounted gym memberships. Weoffer a fantastic benefits package including a competitive pensionscheme and recognition schemes through bonus/reward initiatives.Colleagues are entitled to an annual volunteering day – so you cantake time to support a cause close to your heart. We also love tostay social at our trips to the zoo, quiz nights, sports events,theatre trips and much more. We are an equal opportunitiesemployer. It is our policy to promote an environment free fromdiscrimination, harassment and victimisation. We are proudsignatories to the Tech Talent Charter which was created becausesolving the diversity problem in tech requires a collective effortacross companies and sectors -https://www.techtalentcharter.co.uk/.

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