AI Engineer (MidLevel) 3 to 6 years

AI Engineer (MidLevel)

Were looking for a Mid-Level AI Engineer who is passionate about building secure scalable and productionready AI this role youll design deploy and optimize machine learning and generative AI solutions that power analytics automation and intelligent products. Youll 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 scikitlearn PyTorch TensorFlow or HuggingFace. 
• Implement feature engineering vectorization and model evaluation frameworks. 

Generative AI & LLM Engineering 

• Finetune 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 leastprivilege 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 :

MustHave 

• 36 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: scikitlearn 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). 

NicetoHave 

• 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 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 NIQs 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 NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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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  Work :

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Employment Type :

Full-time