Senior Machine Learning engineer (Python, Azure databricks, Devops, Pyspark/ SPARK, Github, MLE models, Tensorflow)
Senior Machine Learning engineer (Python, Azure databricks, Devops, Pyspark/ SPARK, Github, MLE models, Tensorflow)
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Job Description
Position Description
- Understanding business objectives and developing models that help to achieve them along with metrics to track their progress.
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
- Exploring and visualizing data to gain an understanding of it then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Verifying data quality and ensuring it via data cleaning
- Defining validation strategies
- Defining the preprocessing or feature engineering to be done on a given dataset
- Defining data augmentation pipelines
- Finding available datasets that could be used for training
- Training models and tuning their hyperparameters
- Analyzing the errors of the model and designing strategies to overcome them
- Deploying models to production
- Work independently and collaboratively on a multi-disciplined project team in an Agile development environment.
- Be actively involved in the design development and testing activities for Big data product.
- Provide feedback to development teams on code/architecture optimization.
Qualifications :
Required Skills and Experience
- 5 years of experience in Machine learning with Devops
- 5 years of hands-on experience developing Python PySpark.
- Experience with Spark is preferred.
- Possess a strong foundation in statistics and utilize statistical methods to analyze data and derive meaningful insights
- Familiarity with Azure Databricks or similar.
- Proficiency with a deep learning frameworks such as TensorFlow or PyTorch or Keras
- Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
- Expertise in visualizing and manipulating big datasets
- 5 years of experience - Ability to select hardware to run an ML model with the required latency
- Familiarity with Azure services.
- Proven experience with CI/CD.
- Proven experience with version control ( Github Bitbucket).
- Familiarity with Linux OS/concepts
- Strong written and verbal communication skills.
- Self-motivated and ability to work well in a team.
Education
Bachelor of Science degree from an accredited university
Additional Information :
- Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
- Recharge and revitalize with help of wellness plans made for you and your family.
- Plan your future with financial wellness tools.
- Stay relevant and upskill yourself with career development opportunities.
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 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 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
NIQ is committed to reflecting the diversity of the clients communities and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce measurement and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer making decisions without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability status age marital status protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: Work :
No
Employment Type :
Full-time
Employment Type
Full-time
