Software Engineer in Machine Learning, REMOTE WROCŁAW WARSZAWA

Experience and skills you need to join us:

• 2+ years of experience in Software Engineering;


• proficiency in Python;


• design and implement back-end systems and APIs using state-of-the-art technologies and practices;


• good knowledge of software development best practices (clean code,design patterns, code smells, continuous integration, code review, unit / functional / regression tests, Git);


• knowledge of Machine Learning;


• knowledge of Numpy, good to know: PyTorch;


• basic knowledge of Docker;


• have a great problem solving, critical thinking, and communication skills;


• analytical thinking skills and knowledge of algorithms; mathematical skill set (algebra, good to know probability theory and statistics);


• fluent in spoken and written English and Polish.

It would be great if you also have:

• knowledge of processing large datasets and pipelines;
  


• MLOps skills, or at least willingness to learn;


• knowledge of Kubernetes.

Hi there! We are Tooploox and we work on projects that improve people’s lives - in line with our mission, we have already changed the way people invest their money, build houses and take care of their health . Feel invited!

We are looking for an ambitious Software Engineer who wants to pursue a career in machine learning.

,[designing, developing, and maintaining software applications that utilize machine learning algorithms;, collaborating with machine learning engineers to integrate machine learning models with software applications;, Interact directly with various types of clients, from startups to multinational companies such as eBay.] Requirements: Python, Clean Code, Design Patterns, Continuous integration, Git, PyTorch, Docker, Communication skills, Machine learning, Kubernetes, MLOps Additionally: Salaries in different currencies, 26 days of paid holidays for everyone, Training budget, Conference budget, In-house trainings, English lessons, Profit sharing, Team events, Team of experts, International projects, Flexible working hours and remote work possibility, Multisport card, Psychologist support, Mental health care, Integration and lunch budget, PZU health care plan, Free coffee, Free breakfast, Free snacks, Free beverages, Startup atmosphere, No dress code, Modern office, Shower, Gym, In-house hack days, Bike parking.