Live opening · Posted 9 hours ago

Associate Research Scientist (AI/ML)

Nielsen India · Chennai, TN, India
Smartrecruiters No Full-time 2+ yrs
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At a glance

The key details from the original listing.

Posted 9 hours ago
CompanyNielsen India
LocationChennai, TN, India
Experience2+ yrs
Job typeFull-time
Work modeNo
SkillsPython, AWS, Azure, GCP, Kubernetes, Machine Learning, Deep Learning
SourceSmartrecruiters
ListedPosted 9 hours ago

About the role

Description supplied by the original job listing.

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.
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.

Skills
Python, AWS, Azure, GCP, Kubernetes, Machine Learning, Deep Learning, NLP, Data Analysis, Generative AI

Experience
2+ yrs

Employment type
Full-time

Work arrangement
No

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