SENIOR MACHINE LEARNING ENGINEER

STELAB has displayed an innovative approach in its work as a part of the constantly developing and changing business world. The identity it has had since its establishment, its forward-looking, long-term vision, and diversified business models aimed to make STELAB a respected and reliable business partner not only in the national market but also in international markets. The aim of STELAB is to be the closest business partner of its customers in their digital transformation journey and to lead one of the fields that our country needs in a transforming world growing with the rule of “the best for the best”.

We are looking for a talented and experienced engineer to complete our consulting & services team. As a senior machine learning engineer at STELAB Techology, you will lead the development of intelligent solutions and consult with our external customers. You will also be helping junior engineers in their tasks and be responsible for their technical development.

Coding skills:

Proficient in python

Proficient in deep learning-related libraries: pytorch, pytorch-lightning, numpy, pandas, etc.

Proficient in best practices for python and DevOps.

Good knowledge of deployment tools: Docker, Kubernetes.

Good knowledge of software delivery and productionalization

Knowledge of UI/UX and GUIs is a plus

Technical skills:

Strong mathematical background

Strong logical skills

Good deep learning – general

Strong understanding of computer vision tasks

Strong knowledge of SotA technologies and their applications

General skills:

Out of the box thinking

Excellent reporting skills

Good communication skills

Strong time management and estimation skills

Strong willingness to share knowledge with junior engineers

Experience requirements:

A Msc or PhD in Data Science, computer science, mathematics, robotics or related fields

At least 3 years of experience working as a machine learning engineer in computer vision related fields.

Multiple successful projects (or sub-projects) showcasing experience and skills.

Publications are a plus.

Recruiting steps:

First interview to meet

Technical interview – deep learning in depth

Technical interview – python

Technical interview – logical thinking

Code project – 1 week deadline

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