Senior ML Engineer
Senior ML Engineer
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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 programming languages such as C and Golang is a plus
Experience with ML technologies such as Pytorch Tensorflow Keras
Experience with time-series analysis is a plus
Experience in data engineering is a plus
Work environment (Linux Jupyter Python Git Docker SQL NoSQL )
Significant experience with Pandas SQL technologies and writing Dockerfiles
Professional level of English
Additional Information :
Hybrid mode : 2 per 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 worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.
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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 Work :
No
Employment Type :
Full-time
Employment Type
Full-time
