Description

We are seeking an experienced ML Engineer with 4+ years of professional experience in software development to join our team. The ideal candidate has a strong foundation in software engineering principles, best practices, and solid knowledge of Object-Oriented Programming (OOP) fundamentals. 

As an ML Engineer, you will play a key role in developing, engineering, and maintaining high-quality software solutions, working on Machine Learning projects that drive innovation across the organization. 

Key responsibilities 

• Create and maintain a scalable code to deliver ML processes, responding to the user's requests in near real time.  

• Design and implement the pipelines for training and deployment of ML models.  

• Perform feasibility studies/analysis with a critical point of view.    

• Develop comprehensive technical documentation, including diagrams and manuals.  

• Tackle diverse software challenges, ensuring simplicity and maintainability in code design.   

• Contribute to architectural designs of large complexity and size, potentially involving several distinct software components.   

• Design and execute unit and performance tests.  

• Support and maintain (troubleshoot issues with data and applications).  

• Design dashboards to monitor a system.  

• Collect metrics and create alerts based on them.  

• Working closely with data scientists, other engineers 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.   

Qualifications

Essential (E): 

• 4+ years of professional experience in software development.  

• Bachelor's degree in computer science or related field. 

• Proficient in Python programming, with strong knowledge of OOP and unit testing. 

• Hands‑on experience building, fine‑tuning, or deploying ML models across domains such as Computer Vision, Natural Language Processing (NLP), and classical machine‑learning methods (e.g., Decision Trees).  

• Familiarity with modern foundation and open‑source model families such as Qwen, LLaMA, and other large language models (LLMs). 

• Familiarity with ML/Ops technologies (e.g., Azure ML) for experiment tracking, model deployment, monitoring, and pipeline orchestration. 

• Proficient in ML frameworks (PyTorch, ONNX, TensorFlow). 

• Experience with major cloud providers (Azure, GCP, or AWS). 

• Experience using collaborative development tools (Git, Confluence, Jira, etc.). 

• Problem-solving capabilities and strong analytical/logical thinking. 

• Self-driven, proactive attitude, resolutive, and team-oriented. 

• Ability to learn quickly and manage deadlines. 

• Agile development methodologies (SCRUM/KANBAN). 

• Excellent communication skills in English (written and spoken). 

Preferred (P): 

• Master’s degree in Computer Engineering or related discipline. 

• Demonstrated experience and knowledge in Linux and Docker containers. 

• Experience with distributed systems. 

• Experience designing and implementing CI/CD pipelines for automation (GitHub Actions or similar). 

• Experience designing monitoring dashboards (Grafana or similar). 

• Experience with container orchestrators (Kubernetes, Docker Swarm). 

Additional Info

Our Benefits

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

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

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

Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion