Senior ML Ops Engineer,ML Flow,Docker,Kubernetes,GCP
Senior ML Ops Engineer, ML Flow, Docker, Kubernetes, GCP
We are Global
Logic, a Hitachi Group Company.
Based across 23 countries, Global
Logic is a global leader in digital product engineering. We help our clients design and build innovative products, platforms, and digital experiences for the modern world. By integrating our strategic design, complex engineering, and vertical industry expertise with Hitachi's Operating Technology and Information Technology capabilities, we help our clients imagine what's possible and accelerate their transition into tomorrow's digital businesses.
By integrating experience design, complex engineering, AI and data expertise - we help our clients imagine what's possible and accelerate their transition into tomorrow's digital businesses.
This role is based in our UK&I region.
Senior ML Ops Engineer, ML Flow, Docker, Kubernetes, GCP
About you:
We hire based on personality, potential, and enthusiasm to make a difference, then we 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 and technologies that you can then put into practice and become certified on various Cloud (and related) technologies that will help you to develop your own toolkit. Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML life cycle management. You'll have strong experience deploying and productionising ML models. Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies. Excellent
- solving skills and the ability to troubleshoot complex issues in AI/ML
systems.
Technical Insight
Skills with MLOps concepts and principles
Experience with cloud platforms (eg, AWS, Google Cloud, Azure) and containerization tools (eg, Docker, Kubernetes).
Proficiency in programming languages such as Python, experience with AI/ML frameworks (eg, Tensor
Flow, Py
Torch), and experience with MLOps frameworks/tools (eg Sagemaker pipelines, Azure ML Studio, Vertex
AI, Kubeflow, MLFlow, Seldon, Evidently
AI)
Senior ML Ops Engineer, ML Flow, Docker, Kubernetes, GCP
Why work at Global
Logic.
Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering our people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences - providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs.
You'll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), and discounted gym memberships. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day - so you can take time to support a cause close to your heart. We also love to stay social at our quiz nights, sports events, theatre trips and much more.
Senior ML Ops Engineer, ML Flow, Docker, Kubernetes, GCP
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