NielsenIQ
Consumer Intelligence
MLOpsEngineer(GenerativeAI)
Neural analysis suggests this role is
optimal for mid candidates.
“MLOps Engineer (Generative AI) at NielsenIQ. Skills: MLOps, Generative AI, Python, Cloud. Design and implement pipelines for training and deployment. Create and maintain scalable code for AI/ML processes”
Industry & Context.
Problem-solving capabilities; analytical/logical thinking; resolutive
What They're Looking For.
Must Have
4+ years of professional experience in software development and/or CI/CD pipeline development, Bachelor’s degree in Computer Science or related field, Proficient in Python programming, knowledge of OOP, unit testing, Demonstrated experience and knowledge in Linux, Docker containers, Experience with major cloud providers (Azure, GCP, or AWS), Familiarity with ML/Ops technologies (e. g. , Azure ML), Experience building Agentic pipelines, Experience designing monitoring dashboards (Grafana or similar), Experience with container orchestrators (Kubernetes, Docker Swarm), Experience with AI/ML frameworks (PyTorch, ONNX, TensorFlow), Experience using collaborative development tools (Git, Confluence, Jira, etc. ), Problem-solving capabilities, analytical/logical thinking, Self-driven, proactive attitude, resolutive, and 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, Experience with distributed systems, Knowledge in Power BI, 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)
What You'll Do.
Design and implement pipelines for training and deployment
Create and maintain scalable code for AI/ML processes
Respond to user requests in near real time
Design dashboards to monitor system
Collect metrics and create alerts
Design and execute unit and performance tests
Perform feasibility studies/analysis
Support and maintain applications
Develop technical documentation
Tackle software challenges
Ensure simplicity and maintainability in code design
Contribute to architectural designs
Work with other engineers and data scientists
Ensure technical compatibility and user satisfaction
Work as a member of a team
How You'll Work.
Team & Collaboration
Working closely with other engineers, data scientists and a variety of end-users; Work as a member of a team, encouraging team building, motivation, and 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™. 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) and Artificial Intelligence (AI) solutions to production. This team is primarily composed of Software Engineers, ML Engineers, AI Specialists, 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/ML Ops 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, CI/CD pipelines implementation and knowledge of Object-Oriented Programming (OOP) fundamentals. As an MLOps Engineer, you will play a key role in developing, engineering, and maintaining high-quality software solutions, working on Machine Learning projects and some Agentic Pipelines that drive innovation across the organization. Key responsibilities: * Design and implement the pipelines for traini
Applying for this MLOps Engineer (Generative AI) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about NielsenIQ?
Real rants from real employees. Read before you apply.