drjobs Senior Machine Learning Engineer

Senior Machine Learning Engineer

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1 Vacancy
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Job Location drjobs

Warsaw - Poland

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

What Youll Do 

  • Build & Scale ML Systems: Design develop test deploy and maintain machine learning solutions using software engineering best practices. 

  • Productionize Prototypes: Transform data science models into scalable production-ready systems for real-world applications. 

  • Own the ML Lifecycle: Implement and manage end-to-end ML workflows using MLOps practices in both cloud and on-prem environments. 

  • Collaborate Globally: Partner with data scientists software engineers and product experts in cross-functional international teams. 

  • Drive Engineering Excellence: Develop and refine tools methods and best practices to elevate ML engineering standards. 

  • Mentor Share & Grow: Support team development through mentoring contribute to internal Communities of Practice and engage in training and cross-functional learning opportunities. 

  • Shape the Future of ML: Influence the direction of ML engineering at NIQ by contributing to strategic initiatives and technical roadmaps. 


Qualifications :

Tech Stack Youll Work With 

  • Languages & Frameworks: Python SQL Argo Kubeflow MLflow 

  • CI/CD Tools: GitLab CI 

  • Monitoring: Prometheus Grafana 

  • Containers & Orchestration: Docker Kubernetes 

  • Databases: PostgreSQL BigQuery RDBMS 


Additional Information :

Must-Haves 

  • Degree in computer science engineering statistics or a related field (BSc MSc or PhD). 

  • 4 years of experience in machine learning software development. 

  • Strong Python skills and experience with ML libraries and frameworks. 

  • Solid experience working in large-scale database environments. 

  • Knowledge of containerization and orchestration (Docker Kubernetes). 

  • Solid experience with production-level code quality and collaboration with software/testing engineers. 

  • Solid understanding of statistical methods and machine learning algorithms  

  • Fluent English communication skills. 

 

 

Nice-to-Haves 

  • Experience with cloud environments (AWS GCP) 

  • Familiarity with MLflow or similar ML lifecycle tools. 

  • Experience with agile development practices. 

  • Background in forecasting pricing revenue assurance or media analytics is a plus. 

 

Our Benefits

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

About NIQ

NIQ is the worlds 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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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:  Work :

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Employment Type :

Full-time

Employment Type

Full-time

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