MLOps Engineer (Fashion)
Data & Analytics

Who we are

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer 

  • Develop your professional career working with one of the major brands in the fashion industry
  • Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change
  • Work with our business departments, to develop solutions for operational to management information needs in the areas of Business Intelligence Reporting, Planning, Data Warehousing and Advanced Analytics
  • Become part of a fast-growing international and diverse team

What you will do

  • Design and implement a state-of-the-art Machine Learning Lifecycle Management
  • Automate deployment, testing, monitoring and scaling of machine learning models
  • Management of Deployment-Dependencies between different Systems, Repos and Development-Teams (Release-Tags, integrative Testing, Delivery-Plans)
  • Collaborate with Data Scientists to monitor and maintain model performance in production
  • Collaborate with Data Engineers and DevOps Engineers to integrate machine learning components into existing systems and infrastructure.
  • Train and support your colleagues on MLOps best practices, provide recommendations for process improvements and tooling enhancements.

What you will bring 

  • Completed degree in Computer Science, Data Science or a comparable education
  • Solid knowledge of software development practices and methodologies, including version control systems (e.g., Git).
  • Strong understanding of DevOps principles and CI/CD pipelines.
  • Experience with cloud and big data technologies (Azure, DataBricks, Spark) is a plus
  • Excellent problem-solving, communication and cross-functional collaboration skills
  • 6+ years of experience in programming languages such as Python, or R.
  • Strong understanding of machine learning algorithms, statistical analysis, and data processing techniques and experience in building and deploying machine learning models in production environments.

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

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