Ai Engineer (mid?level) - 3 To 6 Years

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 TM 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 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 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 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 help of wellness plans made for you and your family Plan your future with financial wellness tools Stay relevant and upskill yourself 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 individual performance and company results 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 including resume screening candidate assessments interview scheduling job matching communication suppor