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Machine Learning Engineer (with ML Ops)

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Poland

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science or related field, Experience as a Machine Learning Engineer or similar role, Strong understanding of data structures and software architecture, Proficiency in Python and frameworks like PyTorch, TensorFlow, Experience in Kubernetes.

Key responsabilities:

Design, develop, maintain and deploy ML applications
Collaborate to integrate ML models with applications
Ensure data integrity throughout project lifecycle
Work with researchers to develop ML methods and approaches
Contribute to stages of ML model lifecycle

Tooploox SME https://tooploox.com/

51 - 200 Employees

See more Tooploox offers

Job description

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 (just take a look at our client portfolio).

Feel invited!

What you will do:

Design, develop, maintain and deploy software applications that utilize machine learning algorithms;
Collaborate with machine learning engineers to integrate machine learning models with software applications;
Interact directly with various types of clients, from startups to multinational companies;
Assure the integrity of project data (data extraction, storage, management, processing, and analysis);
Work with world-class researchers and scientists to develop new machine learning methods and approaches;
Contribute to various stages of ML models lifecycle;

Experience and skills you need to join us:

Bachelor’s or Master’s degree in Computer Science or related field with experience as a Machine Learning Engineer or similar role;
Strong understanding of data structures, data modeling, and software architecture;
Excellent problem solving, critical thinking, and communication skills;
Proficiency in Python and related frameworks e.g. PyTorch, TensorFlow;
Experience in Kubernetes;
Experience in optimizing and setting up ML workload and model inference;
Fluency in Polish and English (you will attend meetings with English-speaking clients).

It would be great if you also have:

Experience with CI/CD pipelines (e.g. Tekton);
Experience with ML ecosystem tooling (e.g. Ray).

How we work:

We believe that teams and employees are able to manage themselves. That’s why we’ve decided to work in a flat, informal structure, at the core of which lay the values we care for most of all: collaboration, trust and flexibility. Being a part of a self-organizing, autonomous team gives us real ownership of our work and the possibility to fully develop our potential.