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Machine Learning Lead - Warsaw, Polska - Experis
Opis
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 Tensor Flow, Py Torch, or equivalent experience with deployment solutions like AWS tools (e.g., Airflow, EMR, Sagemaker), and Py Spark Familiarity with SQL and No SQL databases (e.g.
Private medical coverage with the option to include family members at no extra cost Access to a Multi Sport 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
