NielsenIQ
Machine Learning Engineer
Vadodara, GJ, India · On-site · Full-time
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerNielsenIQ
- LocationVadodara, GJ, India
- Work styleOn-site
- Employment typeFull-time
- Employer posted
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
Graduate with hands on expeience in Machine Learning
Show full description
Must Have:
- Proficiency in Python Programming Language
- Min 2+ years of experience
- Experience in Developing Machine Learning models using Sklearn/PyTorch/TensorFlow
- Experience with Natural Language Processing (NLP) libraries and tools such as Spark NLP, Hugging Face, NLTK etc.
- Experience in any GenAI framework such as LangChain, AutoGen or CrewAI etc
- Experience in Github and CI/CD pipelines to deploy the Machine Learning Models
Good to Have:
- Experience in MLOps Tools like MLflow, AutoML etc
- Experience in Azure Cloud
- Experience in working Agile Model.
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
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
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
Machine learning engineer jobs in India
ROLIVA currently lists 263 open roles like this in India.
Employers hiring for this
- PwC19 open roles
- Hewlett Packard Enterprise18 open roles
- Amgen13 open roles
- Deutsche Bank6 open roles
- Healthcare6 open roles
Top skills asked for
Listings whose description mentions each term. A mention is not a requirement.
- Python230 postings
- Machine learning150 postings
- AWS134 postings
- LLM131 postings
- Azure124 postings
- Docker86 postings
- SQL85 postings
- Kubernetes71 postings
At a glance
- Work styleOn-site
- Employment typeFull-time
- SeniorityMid level
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.
Python Azure Spark Machine learning Agile PyTorch TensorFlow