SoftServe is a global digital solutions company, headquartered in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients in the USA, Europe, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.
Data Science Center of Excellence is one of the largest teams in Eastern Europe that stood at the origins of Data Science. We are transforming how thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design.
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Lets put your talents and experience in motion with SoftServe.
SoftServe is a global digital solutions company, headquartered in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients in the USA, Europe, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.
Data Science Center of Excellence is one of the largest teams in Eastern Europe that stood at the origins of Data Science. We are transforming how thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design.
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Lets put your talents and experience in motion with SoftServe.
,[Design and implement ML end-to-end solutions, create data pipelines and architectures, set up the infrastructure, and optimize existing models, Communicate use cases, requirements, and expectations with stakeholders, Guide Engineering and Data Science teams on ML systems production lifecycle, Cooperate with Data Science teams on model operationalization strategies, Deliver and operate ML systems coo