Operate the life cycle of source-code, data, and models provided by data scientists, referred to as the machine learning life cycle.
Build and operate the machine learning life cycle on platforms by internal providers and bridge the gap between data science and IT infrastructure.
Build a foundation of best-practices, templates, and project accelerators for machine learning operations using software engineering and software design principles.
Educate data scientists about the machine learning life cycle and act as a sparring partner.
Enable data scientists to be independent and allow them to integrate into the machine learning life cycle in a self-service manner.
Serve multiple teams and projects across the organization.
Guide and mentor junior team members.
Enable the organization to effectively harness machine learning and help innovate how clinical trials are conducted and analyzed.
Wymagania
5+ years of experience in Python
Strong experience with software engineering principles and practices
Strong experience with statistics and machine learning
Strong experience with systems design, containerization, and distributed computing
Strong experience with DevOps, CI/CD, and software testing
Strong experience with stakeholder management and communication
Consultant Development Program – advice on growth planning based on the latest trends and market needs in IT, including consultations with agents and growth mentors,
Relationships and access to the knowledge of the most experienced IT experts in the market – the average professional tenure of our consultants in Poland is over 10 years,
A complete benefits package, including funding for medical care, life insurance, sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad.