Machine Learning Lead
responsibilities :
- Developing machine learning models for audience segmentation and user profiling, encompassing both research and production-level coding
- Planning, implementing, and maintaining data and machine learning pipelines utilizing MLOps tools. This includes data analysis, exploration, and processing across various data formats
- Leading a team to successfully deliver production-ready machine learning solutions that significantly impact business outcomes
- Contributing to project planning activities
- Keeping abreast of the latest trends and advancements in the field, continuously enhancing knowledge, and implementing relevant findings
- Participating in the creation of innovative technologies through prototyping, proof of concepts, scientific publications, or patent applications
- Providing comprehensive functional and technical documentation
- Engaging with stakeholders to grasp business requirements, manage expectations, and develop effective project roadmaps
requirements-expected :
- Proficient in Python programming
- Over 5 years of hands-on experience applying data science and machine learning techniques to large datasets, including the development and maintenance of ML pipelines
- Demonstrated expertise in deploying Python-based ML pipeline code in production environments, particularly in cloud environments (favoring AWS)
- In-depth understanding of ML algorithms both theoretically and practically, with proficiency in ML libraries such as TensorFlow, PyTorch, or equivalent experience with deployment solutions like AWS tools (e. g. , Airflow, EMR, Sagemaker), and PySpark
- Familiarity with SQL and NoSQL databases (e. g. , Snowflake)
- Knowledgeable about CI/CD principles, with experience using tools like GitHub and GitHub Actions
- Holds a master's degree in Machine Learning, Computer Science, Mathematics, Physics, or related fields
- Proficient in spoken and written English to facilitate communication in international, cross-team collaborations
offered :
- Private medical coverage with the option to include family members at no extra cost
- Access to a MultiSport card
- Life insurance coverage
- Meal benefits with a lunch card
- Various discounts on products and services (excluding electronic products, theaters, and restaurants)
- Unlimited complimentary access to the Copernicus Science Center for you and your companions
- Opportunity to participate in the testing of new products
benefits :
- sharing the costs of sports activities
- private medical care
- life insurance
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