Arvato Polska Sp. z o.o. is seeking a Machine Learning Engineer (R&D) for an on-site position in Plewiska, Poland. Responsibilities include designing, developing, and optimizing machine learning models and AI-based solutions; analyzing and processing data to identify trends, correlations, and opportunities for business improvements; creating and validating Proof of Concept solutions in ML and Data Analytics; preparing models for production deployment, including validation, testing, and documentation; monitoring quality, effectiveness, and performance of models post-deployment and recommending optimization actions; collaborating with R&D, IT, and business teams to identify and implement AI and data analytics initiatives; participating in code reviews to ensure high-quality solutions; and preparing recommendations and presenting findings from data analyses. Qualifications include a higher education in computer science, mathematics, statistics, data science or related fields; 2–3 years of experience in designing and deploying ML solutions; strong Python skills and knowledge of popular data analysis and ML libraries; experience in data preparation, training, validation, and deployment of ML models; knowledge of monitoring models and deploying solutions to production environments; ability to perform data analysis and translate results into business recommendations; knowledge of databases and SQL; teamwork, analytical thinking and effective communication; fluent English. Additional information: involvement in innovative R&D projects related to AI, ML, and data analytics; opportun

Arvato Polska Sp. z o.o. is seeking a Machine Learning Engineer (R&D) for an on-site position in Plewiska, Poland. Responsibilities include designing, developing, and optimizing machine learning models and AI-based solutions; analyzing and processing data to identify trends, correlations, and opportunities for business improvements; creating and validating Proof of Concept solutions in ML and Data Analytics; preparing models for production deployment, including validation, testing, and documentation; monitoring quality, effectiveness, and performance of models post-deployment and recommending optimization actions; collaborating with R&D, IT, and business teams to identify and implement AI and data analytics initiatives; participating in code reviews to ensure high-quality solutions; and preparing recommendations and presenting findings from data analyses. Qualifications include a higher education in computer science, mathematics, statistics, data science or related fields; 2–3 years of experience in designing and deploying ML solutions; strong Python skills and knowledge of popular data analysis and ML libraries; experience in data preparation, training, validation, and deployment of ML models; knowledge of monitoring models and deploying solutions to production environments; ability to perform data analysis and translate results into business recommendations; knowledge of databases and SQL; teamwork, analytical thinking and effective communication; fluent English. Additional information: involvement in innovative R&D projects related to AI, ML, and data analytics; opportun