MLOps Engineer (Generative AI) at NielsenIQ

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

19 Aug, 26

Salary

0.0

Posted On

21 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, MLOps, CI/CD, Docker, Kubernetes, Azure ML, PyTorch, TensorFlow, Agentic Pipelines, Grafana, Linux, Object-Oriented Programming, Git, Agile, Unit Testing, Cloud Computing

Industry

Software Development

Description

Company 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™. Job Description 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 training and deployment of ML and AI models. Create and maintain a scalable code to deliver AI/ML processes, responding to the user's requests in near real time. Design dashboards to monitor a system. Collect metrics and create alerts based on them. Design and execute unit and performance tests. Perform feasibility studies/analysis with a critical point of view. Support and maintain (troubleshoot issues with data and applications). 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. Working closely with other engineers, 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. Qualifications Essential (E): 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, with strong knowledge of OOP and unit testing. Demonstrated experience and knowledge in Linux and 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 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. 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). Additional Information 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 Career Site Team: Technology

Responsibilities

Design and implement pipelines for training and deploying ML and AI models, including Agentic pipelines. Develop scalable code, monitoring dashboards, and technical documentation to ensure robust AI/ML production systems.