MLOps engineer

MLOps is a set of management techniques for the deep learning or production ML lifecycle, formed from machine learning or ML and operations or Ops. These include ML and Dev Ops methods, as well as data engineering processes for deploying and maintaining machine learning models in production.

• Competitive salary depending on Level

• Senior Analyst – 1,700 - 3,400 EUR

• Analyst – 1,400 - 2,800 EUR

• Flexible vacation + health & travel insurance + relocation

• Work from home, flexible working hours

• Work with Fortune 500 companies from different industries all over the world

• Skills development and training opportunities, company-paid certifications

• Opportunities to advance career

• An open-minded and inclusive company culture

• Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)

• Build CI/CD pipelines orchestration by Git Lab CI, Git Hub Actions, Circle CI, Airflow or similar tools

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality

• Data science models testing, validation and tests automation

• Communicate with a team of data scientists, data engineers and architect, document the processes

• Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)

• Experience with MLOps Frameworks like Kubeflow, MLFlow, Data Robot, Airflow etc., experience with Docker and Kubernetes, Open Shift

• Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.

• Ability to understand tools used by data scientist and experience with software development and test automation

• Fluent in English, good communication skills and ability to work in a team

• Bachelor’s degree in Computer Science or Software Engineering

• Experience in using AWS, MS Azure or GCP services.

• Good to have any associate Cloud Certification

#LI-EU

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships.

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