WE ARE HIRING

Machine Learning Engineer

11000 - 15000 PLN net
Gdańsk / Remote

About us

 

DLabs.AI specializes in developing services and products with a need for Data Science, Machine Learning, and AI. We build AI-based solutions as well as web and mobile applications. We focus on creating a clear, intuitive UI and put Data Science at their core. Our team provides advanced solutions for Sales, Marketing, Health, Physical fitness, Education, Nutrition, Psychological Research, and many more.

At every point in time, we have a bunch of long-term and short-term projects. Some of them are for external clients, some of them are our internal experiments. The flagship product that we still develop is Suguard — a mobile app offering personalized medical advice to guide diabetes through their daily routine.

We’re no big corporation which means that every team member has real input in our company growth, the tools we use, and how we work. Your ideas are important to us, and our management is open to new solutions. We want people to work smart, not hard. Not only focused on results but also the means of getting said results.


About the Role

 

We are looking for exceptional machine learning engineers willing to build innovative AI solutions for problems in time series forecasting, NLP, and computer vision space.

Below you can find what we think is a good skill set for this role, but if you’re not ticking all the boxes – don’t worry – we’re more than happy to talk with any talented individual.

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11.000 – 15.000 / month + VAT
B2B
Gdańsk / Remote


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About you

 

Degree in Computer Science,  Mathematics, Physics or equivalent experience
2+ years experience in building Machine Learning / Data Science solutions in Python
Strong programming proficiency in Python and ML stack of choice
Good communication skills in English
Experience in using data visualization tools

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Additional points for

 

Experience working with at least one of the cloud environments: Google Cloud, AWS, Azure
Experience in at least one deep learning framework: Pytorch, TensorFlow / Keras
MLOps
Research experience in the field of ML
Experience in technical mentoring of junior team members
Previous exposure to business – communicating with stakeholders, gathering requirements for the project, demonstrating project outcomes to clients, supporting decision-making processes in non-tech companies or similar activities.
Developing and deploying machine learning models with the use of cloud services and state-of-art technologies
Strong domain expertise – e.g. previous experience in pharma, fintech, retail, adtech, etc.

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Responsibilities

 

Design and develop end-to-end, scalable ML solutions for our clients and internal projects
Work in challenging projects often with moderate and high complexity
Dive deep into the research phase if needed – reading publications and fast prototyping
Support and actively shape our technical craftsmanship best practices
Collaborate closely with technical and non-technical stakeholders to propose the best possible solutions in an iterative process
Collaborate with our clients with value first mindset
Help younger ML Engineers and Data Scientists to grow – pair programming, code review, technical sessions, technical presentations
Creating tests and technical documentation
Actively support DLabs.AI brand by creating marketing content and attending events related to AI and hackathons

 

We offer

 

The satisfaction of solving real business problems for our clients
Rich experience with the opportunity to taste a variety of short- and mid-length projects
Small teams: 2-5 members
Remote work or in our office in Gdansk


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Work methodology

 

Work methodology
Agile
Issue tracking tool Jira
Knowledge repository Confluence
Virtualization Docker
Operating system Linux, Windows, macOS
Cloud GCP & AWS
Main languages Python & JavaScript
Main frameworks FastAPI, Django, React, PyTorch
Freedom to choose tools Yes


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Quirks you’ll love

 

Flexible working hours

Private health care

Cafeteria system

Home office

E-learning platforms

Transparent career path

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Send your application by clicking below or to the address jobs@dlabs.ai

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