Machine Learning Engineer

16 000 - 21 000 PLN net

Gdańsk / Remote

About us

Looking to make an impact in the exciting world of AI? Join DLabs.AI and become a part of a forward-thinking team dedicated to revolutionizing how businesses operate and flourish. We focus on delivering tailor-made, cutting-edge solutions to our diverse clientele across various sectors, such as edtech, healthcare, and retail.

Established in 2015 with a primary focus on healthcare, DLabs.AI aimed to develop an AI-driven solution to aid in monitoring and treating diabetes. Today, we are a team of skilled software developers and AI experts who collaborate closely to solve real-world problems with the latest technologies, pushing the boundaries of practical innovation.

As a member of our team, you can work on a wide range of long-term and short-term projects for external clients and contribute to our in-house experiments.

We’re not a big corporation, which means every team member impacts our growth, the tools we utilize, and how we work. We deeply appreciate innovative ideas and actively encourage our team members to expand their horizons, take risks, and learn from their mistakes.

Join DLabs.AI today and contribute to the AI revolution transforming the world. We look forward to having you on our team!


We are looking for exceptional Machine Learning Operations (MLOps) excited to solve real-world problems. As an independent contributor, you’ll play a key part in driving value-focused AI projects and shaping our evolving tech stack.

We strongly believe in demonstrating value first and iterating on solutions, rather than developing perfect but unwanted products. In this role, you’ll have the opportunity to create optimized processes for implementing ML models and monitoring them in a production environment. You’ll work with our clients to help them do this and build their internal expertise. If you’re proactive, adaptable, and passionate about crafting AI solutions with tangible impact, we’d love to hear from you.

While we’ve outlined the ideal skill set for this role below, don’t worry if you don’t meet all the criteria. We’re always excited to connect with talented individuals who share our vision.

About you

  • check_circle Master's degree in Computer Science, Mathematics, Physics, or a related field, or equivalent experience
  • check_circle At least 2 years of experience in deploying ML models in production environments and implementing machine learning solutions, with a focus on practical applications
  • check_circle Proficiency in Python and ML stack of choice
  • check_circle Experience working with at least one cloud platform (AWS - must have, Google Cloud, Azure - nice to have), deploying ML models and ML pipelines in production environments
  • check_circle Experience with orchestration tools (Docker, Kubernetes)
  • check_circle You are a lifelong, humble learner, continuously seeking to expand your knowledge and skills in the rapidly evolving field of AI
  • check_circle Excellent communicator, able to effectively discuss ideas, collaborate with diverse team members and present complex information to both technical and directly to non-technical stakeholders
  • check_circle You have experience in mentoring or guiding junior team members in technical matters and best practices, and you love to do that
  • check_circle English - at least C1 (you’ll work in a multinational environment)


  • check_circle AWS Certification
  • check_circle Knowledge of cloud-based data engineering solutions, such as AWS Glue, Azure Data Factory, or Google Cloud Dataflow
  • check_circle Domain expertise in one or more industries, such as edtech, pharma, fintech, retail, and experience in applying ML solutions in those domains
  • check_circle Experience in at least one deep learning framework: Pytorch, TensorFlow / Keras
  • check_circle Demonstrated experience in working with large-scale tabular data that exceeds memory limits
  • check_circle Fair amount of hours spent with DBT, SQL and data warehouses
  • check_circle 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
  • check_circle Personal projects, hackathons, summer schools, volunteering, applying ML to your hobby or other initiatives related to AI


  • check_circle Opportunity to shape and grow with our AI team, contributing to its vision and direction
  • check_circle Attractive salary and benefits package, tailored to your expertise and accomplishments
  • check_circle Exposure to diverse, real-world projects that enable you to make a tangible impact on clients' success
  • check_circle Flexible work arrangements, promoting a healthy work-life balance
  • check_circle A culture that values creativity, innovation, and adaptability, empowering you to take ownership of your work
  • check_circle A supportive and collaborative work environment that encourages knowledge sharing and professional growth
  • check_circle The chance to work with cutting-edge technologies and tools in the rapidly evolving field of AI
  • check_circle The satisfaction of knowing that your work has a direct impact on clients and contributes to the broader advancement of AI technology and applications


Cafeteria system

We know everyone has different tastes, so we’ve designed a system with a wide variety of choices that reflect individual needs.

Clear terms

We do our best to avoid misunderstandings by being specific. Expect transparent employment conditions alongside mutual advice on formalities, business operations, and the like.

Flexible hours

We know work-life balance is important, so everyone can work the hours that suit them.

Free drinks and snacks

Expect an endless supply of healthy snacks, plenty of coffee and tea, sandwiches galore, and more. We even host pizza days!

Private health care

Healthy body, healthy mind. That’s why DLabs.AI covers the full medical package.

Remote work

Work from your home office or our space in Gdansk: the choice is yours. Our international team sits all over the world!