MLOps Researcher

Key Skills

Aartificial intelligence, Apache Airflow, Apache Kafka, Apache NiFi, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Git, GitLab, Kubeflow, Linux Operating system, Luigi, Machine learning techniques, MLOps tools, REST API

Job Description

Eviden is an Atos Group business with an annual revenue of circa € 5 billion and a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 53 countries. By uniting unique high-end technologies across the full digital continuum with 57,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

Eviden is searching for an MLOps researcher to join our research and innovation team.

Location:

• Madrid, Valencia, Santander, Valladolid, Tenerife, Sevilla
• Hybrid-mode
• Must be legally authorized to work in Spain

Responsibilities:

• Definition and implementation of data pipelines and MLOps workflows.
• Contribute to the definition and implementation of an MLOps infrastructure framework and tools.
• Research about techniques to implement data versioning and models registry.
• Model deployment, test automation, usually in the form of unit tests, functional tests and integration tests.
• Research about models monitoring, data drift detection, re-training implementation, model roll-back, etc.
• Adopt the best MLOps standards to design and develop scalable end-to-end machine learning workflows.
• Build processes supporting seamless MLOps (e.g., app monitoring, troubleshooting, life cycle management).
• Experience developing CI/CD pipelines for AI/ML development, deploying models to production, and managing the lifecycle in a regulated environment.
• Participation in European research projects, leading technical work packages focused on AI, ML and MLOps.

Education:

• Requires a BS, Master, or PhD degree in Computer Engineering, Telecommunications Engineering, Electrical Engineering or other related disciplines.

Essential knowledge and professional experience:

• 3+ years of experience with scripting and programming languages such as Python, or Golang.
• +3 years of experience in European research projects.
• +3 years of experience in data science, statistics, software engineering and Machine Learning.
• 3+ years of experience preparing software applications for their deployment using Docker and Kubernetes.
• 3+ years of experience in developing REST APIs.
• Knowledge about innovative MLOps tools (e.g., Kubeflow, MLFlow) and ETL tools for data processing (e.g., Kafka, NiFi, Airflow, Luigi).
• Software engineering experience, including architecture definition, infrastructure implementation and creation of data flows.
• Experience working following agile methodologies and working with cross-functional teams.
• Good understanding of ML and AI concepts and hands-on experience in development, deployment and agile life cycle management of data science apps (MLOps).
• MLOps experience in terms of model monitoring, data drift detection, re-training implementation, model roll-back, for machine learning solutions
• Ability to work with software configuration management tools such as Git or GitLab.
• Knowledge of Continuous Integration/Delivery/Deployment.
• Advanced experience working with Linux.
• English level B2 Additional knowledge:
• Experience in cloud and high-performance computing environments.

Competences:

• Fluency in English and Spanish.
• Good writing and presentation skills.
• Strong personal soft skills set communicative, enthusiastic, highly collaborative, proactive, and self-driven.
• Ability and enthusiasm to learn new technologies quickly.

Benefits:

• Half-day Fridays.
• Intensive workday in summer.
• Personalised training and upskilling programme.
• Flexible working hours and ways of working.

If you want to know more about our Research & Innovation department and the team you will be joining, check out our webpage:

https://booklet.atosresearch.eu/units/health

There’s no such thing as a perfect candidate, so don’t hold you back. You don’t need 100% of the preferred qualifications to add incredible value to our team. Our customers come from all different backgrounds, and so do our employees. If you’re passionate about what you could accomplish here, we’d love to hear from you.