AI Engineer

About the job

Overview 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. Role AI Engineer (Mid‑Level) We’re looking for a Mid-Level AI Engineer who is passionate about building secure, scalable, and production‑ready AI systems. In this role, you’ll design, deploy, and optimize machine learning and generative AI solutions that power analytics, automation, and intelligent products. You’ll work across Python, cloud platforms, vector databases, LLM frameworks, and modern MLOps practices — treating testing, reliability, and security as foundational pillars. Key Responsibilities Responsibilities • AI/ML Model Development • Build and optimize machine learning and LLM-based models (classification, NLP, embeddings, generative AI). • Develop reusable model pipelines in Python using libraries like scikit‑learn, PyTorch, TensorFlow, or HuggingFace. • Implement feature engineering, vectorization, and model evaluation frameworks. • Generative AI & LLM Engineering • Fine‑tune, evaluate, and deploy LLMs using frameworks such as HuggingFace Transformers, LangChain, LlamaIndex, or cloud-native AI services. • Build RAG (Retrieval-Augmented Generation) pipelines using vector databases (Pinecone/Weaviate/FAISS/Snowflake Cortex Search). • Implement prompt engineering, prompt orchestration, and prompt quality testing. • MLOps & CI/CD • Build automated training, deployment, and monitoring pipelines using CI/CD (GitHub Actions/Azure DevOps/GitLab CI). • Manage model versioning, lineage, and artifact tracking (MLflow, Weights & Biases). • Implement reproducibility, environment management, and dependency controls. • Cloud & Deployment • Deploy AI services to AWS/Azure/GCP using serverless compute or containerized microservices (Lambda, Azure Functions, Cloud Run, Kubernetes). • Optimize compute workloads, costs, and auto-scaling strategies. • Integrate models into production systems via APIs, SDKs, or event-driven flows. • Security, Reliability & Observability • Apply DevSecOps practices: secure model endpoints, manage secrets, enforce least‑privilege IAM. • Implement monitoring for drift, model decay, model failures, and performance anomalies. • Contribute to logging, metrics, dashboards, and alerting for AI workloads. • Collaboration & Documentation • Partner with Data Engineering, Product, and Analytics teams to integrate models into applications and data pipelines. • Write clear documentation (model cards, evaluation reports, design documents, runbooks). Qualifications Must‑Have • 3–6 years of experience in AI engineering, ML engineering, or backend engineering with AI/ML exposure. • Strong Python skills: pandas, NumPy, pydantic, async patterns, testing (pytest). • Experience with ML frameworks: scikit‑learn + at least one deep learning/LLM library (PyTorch/TensorFlow/HuggingFace). • Cloud proficiency with AWS, Azure, or GCP (compute, storage, IAM basics). • Hands-on experience deploying ML/AI models to production environments. • Understanding of vector databases, embeddings, and retrieval techniques. • Experience with Git, CI/CD, code reviews, dependency scanning, and secure coding. • Knowledge of model evaluation techniques (regression, classification, NLP metrics, LLM evals). Nice‑to‑Have but not required • RAG workflows using LangChain/LlamaIndex. • Experience with MLOps tooling: MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML. • Experience with containerization & orchestration: Docker, Kubernetes. • Exposure to data engineering concepts (ETL/ELT, Snowflake, dbt). • Knowledge of SCD/CDC concepts and dimensional modeling. • Understanding of AI security practices: input validation, model hardening, secret stores. • Monitoring tools (Prometheus, Datadog, CloudWatch, Log Analytics). • Familiarity with responsible AI concepts, fairness, and bias mitigation. Additional Information • Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms. • Recharge and revitalize with wellness plans for you and your family. • Plan your future with financial wellness tools. • Stay relevant with career development opportunities. • Exciting work environment that brings people together. • Use the latest digital technologies. • Ongoing trainings to support your development. • Opportunities for personal and professional growth. • Great compensation and bonus scheme linked to performance. • Flexible working hours and home office. 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. 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. For more information, 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 Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the diverse communities we serve. All employment decisions 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 law. To learn more, visit https://nielseniq.com/global/en/news-center/diversity-inclusion

Requirements

• AI engineering
• ML engineering
• Python
• scikit-learn
• PyTorch
• TensorFlow
• cloud proficiency
• vector databases

Qualifications

• 3–6 years of experience in AI engineering, ML engineering, or backend engineering with AI/ML exposure

Preferred Technologies

• AI engineering
• ML engineering
• Python
• scikit-learn
• PyTorch
• TensorFlow
• cloud proficiency
• vector databases

Benefits

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

About the company

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.