Lead ML Engineer at NielsenIQ

Vadodara, gujarat, India -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Generative AI, LangChain, AutoGen, CrewAI, Sklearn, PyTorch, TensorFlow, Natural Language Processing, Spark NLP, Hugging Face, NLTK, CI/CD, MLOps, Azure

Industry

Software Development

Description

Job Description Key Responsibilities: • Model Development: Design, develop, and fine-tune Machine Learning Models • Generative AI: Implement Generative AI use cases using frameworks like LangChain, AutoGen, CrewAI etc • Research: Conduct research to advance the state-of-the-art in generative AI, including exploring new algorithms, techniques, and tools. • Collaboration: Work along with Seniors and Stake holders to capture the requirements and execute it in Agile methodology. • Documentation: Maintain comprehensive documentation of models, experiments, and findings to facilitate knowledge sharing and reproducibility. • Stay Updated: Keep abreast of the latest developments in the field of AI and machine learning and apply this knowledge to current projects. Qualifications Must Have: 1. Proficiency in Python Programming Language 2. Experience in Developing Machine Learning models using Sklearn/PyTorch/TensorFlow 3. Experience with Natural Language Processing (NLP) libraries and tools such as Spark NLP, Hugging Face, NLTK etc. 4. Experience in any GenAI framework such as LangChain, AutoGen or CrewAI etc 5. Experience in Github and CI/CD pipelines to deploy the Machine Learning Models Good to Have: 1. Experience in MLOps Tools like MLflow, AutoML etc 2. Experience in Azure Cloud 3. Experience in working Agile Model. 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://www.nielseniq.com/global/en/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 Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook 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

Responsibilities

The Lead ML Engineer will design, develop, and fine-tune machine learning models while implementing generative AI use cases. They will also collaborate with stakeholders using Agile methodology and maintain comprehensive documentation for model reproducibility.