Senior ML Engineer at NielsenIQ

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, Golang, ML Frameworks, PyTorch, TensorFlow, Keras, Cloud Environments, Google Cloud Platform, AWS, Azure, Containerization, Docker, Kubernetes, SQL, NoSQL, Pandas

Industry

Software Development

Description

Company Description #LI-hybrid The very rapid development of e-commerce today gives access to thousands of information. These data are difficult to exploit by companies, which then have difficulty choosing the right levers of action and measuring their impact. This is where NIQ for Digital Commerce comes in! Every day, we collect more than 60 billion pieces of information, process them and use them in innovative monitoring and action tools for professionals in the sector. Our goal: to give our customers and consumers real-time visibility into the market. Today : NIQ for Digital Commerce is a leading start-up in the ‘Retail Analytics’ sector. In full growth, particularly internationally, we are looking for new collaborators to join our fabulous team! A young but experienced, dynamic and complementary team: a resolutely start-up spirit! Real job and career opportunities A friendly atmosphere and a climate of trust that promotes autonomy and challenge! Job Description We are looking for an experienced Senior Data /ML Engineer to join our growing Machine Learning team. Your work will entail working on one or more projects at a time with tasks such as: ● Developing ML tools (web services, APIs, etc) ● Preparing data for ML models ● Researching the latest technologies used in ML (time-series, NLP, Image recognition, ...) ● Developing and improving predictive model Qualifications Proficiency with Python; knowledge of C++ or Golang is a plus Experience with ML frameworks such as PyTorch, TensorFlow, or Keras Experience deploying and managing ML solutions in cloud environments such as Google Cloud Platform (GCP), AWS, or Azure Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow) for production deployment Experience with time-series analysis and/or data engineering is a plus Comfortable working with Linux, Jupyter, Git, SQL, and NoSQL databases Strong experience with Pandas and SQL (including performance optimization and query tuning) Skilled in writing and maintaining Dockerfiles for reproducible builds Professional proficiency in English Additional Information Hybrid mode : 1per week at Chennai or Pune Office Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) 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 Senior ML Engineer will develop ML tools, prepare data for ML models, and research the latest technologies in machine learning. They will also be responsible for developing and improving predictive models.