Artificial Intelligence and Machine Learning Engineer

AI/ML engineer - Associate Research Scientist

Job Description

We are seeking an AI Engineer to design, develop, and deploy AI-driven solutions that enhance monitoring, observability, predictive analytics, and operational automation. The role will focus on leveraging Machine Learning, Generative AI, and Agentic AI technologies to improve system reliability, reduce manual effort, accelerate incident resolution, and enable proactive operations. 

Key Responsibilities:  

• Develop AI/ML models for anomaly detection, predictive monitoring, and capacity forecasting. 
• Build AI-powered solutions for alert correlation, root cause analysis, and operational insights. 
• Design and implement Generative AI applications, AI agents, and knowledge assistants. 
• Integrate AI capabilities with monitoring and observability platforms. 
• Develop intelligent automation and self-healing workflows. 
• Analyze monitoring, telemetry, log, and operational data to identify trends and optimization opportunities. 
• Collaborate with Monitoring, Cloud, DevOps, and Application teams to implement AI-driven solutions. 
• Monitor, maintain, and continuously improve AI model performance. 

Use cases you’ll Work On  

• Predict system outages before they happen 
• Detect abnormal spikes in infrastructure metrics 
• Automate alert-based remediation workflows 
• Improve system reliability and reduce downtime 

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.  
• Strong proficiency in Python programming language.  

       Required Skills 

• Strong programming skills in Python. 
• Experience with Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. 
• Knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG). 
• Experience with AI orchestration frameworks such as LangChain or LangGraph. 
• Understanding of anomaly detection, predictive analytics, and time-series data analysis. 
• Experience with APIs, automation, and cloud-native architecture. 
• Experience with cloud computing platforms (knowledge of multi cloud platform) Azure is primary , AWS/GCP is a plus).  
• Experience with monitoring and observability platforms such as Datadog, Grafana, or Prometheus. 
• Knowledge of Docker, Kubernetes, CI/CD, and cloud platforms (Azure, AWS, or GCP). 
• Familiarity with AIOps, Site Reliability Engineering (SRE), and operational support environments. 
• Strong problem-solving ability 
• Good communication with cross-functional teams 
• Ability to work independently and take ownership 

Why Join Us:  

• Opportunity to work on cutting-edge projects at the forefront of technology.  
• Collaborative and innovative work environment.  
• Competitive salary and benefits package.  
• Continuous learning and professional development opportunities.  

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://nielseniq.com/global/en/info/niqs-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

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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 https://nielseniq.com/global/en/news-center/diversity-inclusion

Experience Level

Mid Level