NielsenIQ
Consumer Intelligence
MachineLearning(GenerativeAI)
Neural analysis suggests this role is
optimal for mid candidates.
“Machine Learning (Generative AI) at NielsenIQ. Skills: Machine Learning, Python, Software Engineering, MLOps. Create scalable code for ML processes. Design training and deployment pipelines”
What You'll Achieve.
deliver ML processes; ensure robust engineering; ensure deployment of advanced solutions; ensure technical compatibility; ensure user satisfaction
Industry & Context.
Problem-solving capabilities; analytical/logical thinking; resolutive
What They're Looking For.
Must Have
4+ years of professional experience in software development, Bachelor's degree in computer science or related field, Proficient in Python programming, knowledge of OOP, unit testing, Hands‑on experience building, fine‑tuning, or deploying ML models, Computer Vision, Natural Language Processing (NLP), classical machine‑learning methods, Decision Trees, Familiarity with modern foundation and open‑source model families, Qwen, LLaMA, large language models (LLMs), Familiarity with ML/Ops technologies, Azure ML, experiment tracking, model deployment, monitoring, pipeline orchestration, Proficient in ML frameworks, PyTorch, ONNX, TensorFlow, Experience with major cloud providers, Azure, GCP, AWS, Experience using collaborative development tools, Git, Confluence, Jira, Problem-solving capabilities, analytical/logical thinking, Self-driven, proactive attitude, resolutive, team-oriented, Ability to learn quickly, manage deadlines, Agile development methodologies, SCRUM/KANBAN, Excellent communication skills in English (written and spoken)
Nice to Have
Master’s degree in Computer Engineering or related discipline, Demonstrated experience and knowledge in Linux, Docker containers, Experience with distributed systems, Experience designing and implementing CI/CD pipelines for automation, GitHub Actions, Experience designing monitoring dashboards, Grafana, Experience with container orchestrators, Kubernetes, Docker Swarm
What You'll Do.
Create scalable code for ML processes
Design training and deployment pipelines
Perform feasibility studies/analysis
Develop technical documentation
Tackle software challenges
Contribute to architectural designs
Design and execute unit tests
Design and execute performance tests
Support and maintain applications
Design dashboards to monitor system
Collect metrics and create alerts
How You'll Work.
Team & Collaboration
Working closely with data scientists; Working closely with other engineers; Working closely with end-users; Work as a member of a team; Encouraging team building; Cultivating effective team relations
Communication Scope
Excellent communication skills in English (written and spoken)
Process & Methodology
Agile development methodologies, SCRUM, KANBAN
Full Job Description
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™. About the team: The NIQ Innovation team is dedicated to exploring, evaluating, designing, and implementing cutting-edge solutions that leverage the latest technologies. Within Innovation, the Enablement Team plays a critical role in bringing Machine Learning (ML) solutions to production. This team is primarily composed of Software Engineers, ML Engineers, and MLOps Engineers, acting as enablers to ensure robust engineering and deployment of advanced solutions. We foster a culture of continuous learning and technical excellence. Our team regularly organizes weekly study groups to share knowledge, enhance coding practices, and stay up to date with emerging tools and methodologies. Additionally, we document all proof-of-concepts (POCs) and research initiatives with a scientific and structured approach, ensuring transparency and reproducibility. Job Description / Job Responsibilities: 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
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