Analyzing, designing, developing, and managing the infrastructure to release scalable Data Science models. The ML Engineer is expected to deploy, monitor and operate production grade AI systems in a scalable, automated, and repeatable way.

• Create and maintain a scalable infrastructure to deliver AI/ML processes, responding to the user requests in near real time.
• Design and implement the pipelines for training and deployment of ML models.
• Design dashboards to monitor a system.
• Collect metrics and create alerts based on them.
• Design and execute performance tests.
• Perform feasibility studies/analysis with a critical point of view.
• Support and maintain (troubleshoot issues with data and applications).
• Develop technical documentation for applications, including diagrams and manuals.
• Working on many different software challenges always ensuring a combination of simplicity and maintainability within the code.
• Contribute to architectural designs of large complexity and size, potentially involving several distinct software components.
• Mentoring other engineers fostering good engineering practices across the department.
• Working closely with data scientists and a variety of end-users (across diverse cultures) to ensure technical compatibility and user satisfaction.
• Work as a member of a team, encouraging team building, motivation and cultivating effective team relations

Role Requirements E=essential, P=preferred

P - Bachelor's degree in Computer Science or related field

P - Master’s degree in data engineering or related

E - Demonstrated experience and knowledge in Linux and Docker containers

E - Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP or AWS)

P - Demonstrated experience and knowledge in distributed systems

E - Proficient in programming languages: Python

E – Experience with ML/Ops technologies like Azure ML

E – Self driving and good communication skills

P – Experience with AI/ML frameworks: Torch, Onnx, Tensorflow

E - Experience designing and implementing CICD pipelines for automation.

P - Experience designing monitoring dashboards (Grafana or similar)

P - Experience with container orchestrators (Kubernetes, Docker Swarm.

E - Experience in using collaborative developing tools such as Git, Confluence, Jira, etc. E - Problem-solving capabilities.

E - Strong ability to analyze and synthesize. (Good analytical and logical thinking capability) E - Proactive attitude, resolutive, used to work in a team and manage deadlines

Flexible work model - the Team is meeting at the office 1or 2 a month.

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion