NielsenIQ

Associate Research Scientist (AI/ML)

NielsenIQ
Chennai
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 2 yearsMin. 2 years

Job Description

Associate Research Scientist (AI/ML)

Job Description

Abou Job:

Associate Research Scientist, Chennai

We are looking for a passionate and skilled AI/ML Engineer to join our team, focusing on cutting-edge solutions in GenAI, vector search, embeddings, and semantic similarity. In this role, you will design, develop, and optimize intelligent search systems that leverage state-of-the-art machine learning and deep learning techniques. You will collaborate with cross-functional teams to build scalable and efficient solutions that transform how we retrieve and process information. 

Responsibilities: 

  • Design, build, and deploy GenAI/ML solutions leveraging NLP, vector search, MCP forecasting, and predictive analytics to enable intelligent insights and proactive monitoring.
  • Develop predictive monitoring and anomaly detection models integrated with cloud-native architecture, Kubernetes, and pod-level telemetry.
  • Operationalize ML models with a strong observability mindset, ensuring reliability, performance, and scalability across distributed systems.
  • Integrate and optimize monitoring platforms such as Datadog and Coralogix to deliver end-to-end ML, application, and infrastructure visibility.
  • Proven experience across cloud platforms, with a strong focus on Azure and optional experience in AWS/GCP.
  • Develop and implement AI/GenAI models and algorithms using Python programming language, jointly with knowledge about and similar AI/GenAI libraries. 
  • Utilize ML fundamentals to solve real-world problems. This includes deep learning, optimization techniques, Natural Language Processing (NLP), Large Language Models (LLMs), or Retrieval Augmented Generation (RAG). 
  • Work closely with data scientists and engineers to gather requirements, perform data analysis, and develop end-to-end ML pipelines. 
  • Conduct experiments and perform model evaluation to ensure the robustness, scalability, and accuracy of AI/GenAI solutions. 
  • Optimize and fine-tune AI/GenAI models for performance and efficiency. 
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. 
  • 2+ years of professional experience in AI/ML development, with a focus on NLP and vector search. 
  • Strong proficiency in Python programming language. 
  • In-depth knowledge of ML fundamentals, including deep learning, optimization techniques, generative AI, NLP, LLMs and RAG 
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.

 

Qualifications

  • Strong proficiency in Python programming language.
  • In-depth knowledge of ML fundamentals, including deep learning, optimization techniques, generative AI, NLP, and LLMs.
  • Experience with cloud computing platforms (knowledge of multi cloud platform) Azure is primary , AWS/GCP is a plus).
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Ability to thrive in a fast-paced, dynamic environment.

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

Job role

Work location
Work locationChennai, TN, India
Department
DepartmentResearch & Development
Role / Category
Role / CategoryPharma & Biotech Research
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 2 years

About company

Name
NameNielsenIQ
Job posted by NielsenIQ

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