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 masters 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
