Careers
Join our fast-growing startup in machine learning & data science.
Work with us in one of today’s most exciting technological areas.
Join our fast-growing startup in machine learning & data science.
Work with us in one of today’s most exciting technological areas.
Numlabs is a small software house created by a dozen people
specialised in machine learning solutions, particularly computer vision and data analytics. Our clients
are mainly startups and SMEs developing innovative products, but without AI competencies. We work mainly
on completely new projects and it is up to us to commit first.
Our portfolio includes, for
example, a system supporting the planning of drilling on oil rigs, models detecting skin lesions
suspicious for cancerous features, or a vision system for measuring conversion for retail
industry.
Behind the scenes all our team members share similar sport passions, making us
ambitious and dedicated to the goal. It also induces a lot of creativity useful in solving business
problems.
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.
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.
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. Your Responsibilities: Building data acquisition and processing pipelines supporting AI/ML models, with emphasis on quality and scalability. Developing machine learning models in cloud environments, such as AWS or GCP. Fine-tuning and optimizing large language models (LLMs) for various business applications. Collaborating with cloud engineering teams to integrate and deploy models. Monitoring performance and optimizing deployed AI/ML solutions. Regularly reporting project progress and results to the team and stakeholders. Maintaining the highest ethical standards and promoting responsible AI development practices.
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.
We are looking for an experienced Data Engineer / ETL Developer to join our team and support the development and maintenance of advanced data processing solutions. Your responsibilities will include building scalable and efficient ETL pipelines, optimizing data processing workflows, and integrating with cloud platforms. If you have a strong background in modern data warehousing and a passion for Big Data, this opportunity is for you!
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.
We are looking for a DevOps / MLOps Engineer to join our team to help build, automate, and scale cloud infrastructure, as well as implement CI/CD processes for Machine Learning in both our in-house and external client projects. If you have experience in cloud management and deploying ML models in production — this is the ideal role for you! Role Responsibilities: Managing cloud infrastructure (AWS / GCP / Azure). Implementing CI/CD processes for ML models. Deploying and maintaining Kubernetes / Docker clusters. Automating infrastructure using IaC (Terraform / Ansible). Optimizing ML pipelines and monitoring performance. Creating solutions for monitoring ML models in production.
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.
As a Backend Developer, you will build reliable microservices and APIs that connect AI components with frontends and external systems. You’ll work with FastAPI, gRPC, vector databases (Qdrant), and cloud-native tools to deliver secure, performant services that scale in critical environments.
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.
Join our Data & AI team and help build a modern Business Intelligence platform. The project involves developing an advanced analytics platform that integrates data from multiple business areas. The solution will support KPI monitoring, data analysis and management reporting through interactive dashboards and Command Center solutions for the insurance industry. We work in a Google Cloud Platform environment, with Looker as our primary analytics tool. The project is delivered in collaboration with an experienced team of Data Engineers, Data Architects, Business Analysts and BI experts. We are looking for an experienced BI consultant and specialist who is comfortable engaging with clients and can combine technical expertise with a solid understanding of business needs. Someone who doesn’t just build dashboards, but also actively contributes to data model design, KPI definition and the development of solutions that support business decision-making. If you enjoy working with modern technologies, like solving complex analytical problems, and want to develop BI solutions built on Looker and Google Cloud Platform, we’d love to hear from you.
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.