Careers

Who are we looking for?

As a Mid Machine Learning Engineer, you will design, build, and maintain data pipelines to support AI/ML models, ensuring data quality and scalability. You’ll develop and implement AI architectures in cloud environments such as AWS, Azure, or GCP, working closely with cloud engineers for seamless integration and deployment. Your role includes deploying and fine-tuning large language models (LLMs) for various business applications, while ensuring they are scalable, efficient, and secure. You will integrate ethical considerations into AI development, promoting responsible AI practices across all projects. Additionally, you’ll collaborate with stakeholders to understand business needs, translate them into technical requirements, and provide clear updates on project progress.

Formal requirements

• arrow_forward Experience in working with Computer Vision is a mandatory requirement.
• arrow_forward Advanced Python knowledge for data processing and scripting.
• arrow_forward Proficiency in SQL data stores and appropriate use cases.
• arrow_forward Strong problem-solving skills and attention to detail.
• arrow_forward Communicative Polish language.
• arrow_forward Fluent English.
• arrow_forward 2 years of relevant experience

Good to have

• arrow_forward Experience with Infrastructure as Code
• arrow_forward Excellent communication skills with the ability to engage stakeholders and gather requirements.
• arrow_forward Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker and Kubernetes.
• arrow_forward Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• arrow_forward Hands-on experience with one or more cloud computing platforms (Azure, AWS, GCP).
• arrow_forward In-depth knowledge of AI ethics, bias mitigation, and responsible AI practices.

What do we offer?

• arrow_forward Competitive salary: 10.000 - 15.000 PLN net on a B2B contract.
• arrow_forward Annual budget for courses and training.
• arrow_forward Flexible work environment - 100% remote or hybrid from our office in Kraków.
• arrow_forward Multisport card.
• arrow_forward Strong substantive and practical support – we are committed to continuous learning.
• arrow_forward Work in the fast-growing AI, ML, and Data Science industry.

Please keep in mind that by applying to this job, you agree to the conditions below: I hereby agree for processing of personal data by Numlabs sp. z o. o. of 30-201 Kraków, ul. Emaus 5 for current and future recruitment processes. Please, note that we will contact only selected candidates.