Machine Learning Engineer with LLM

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. 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.

Formal requirements

• arrow_forward Minimum 3-years commercial experience working with Large Language Models (LLMs) – mandatory.

• arrow_forward Advanced knowledge of Python for data processing and scripting.

• arrow_forward Proficiency in managing and effectively utilizing SQL databases.

• arrow_forward Strong problem-solving skills and attention to detail.

• arrow_forward Fluent in English.

• arrow_forward Communicative Polish language skills.

Good to have

• arrow_forward Experience with Infrastructure as Code (IaC).

• arrow_forward Bachelor's or Master's degree in computer science, data science, or a related field.

• arrow_forward Excellent communication skills, ability to engage stakeholders and gather requirements.

• arrow_forward Experience with the concept of "Data as Code," including version control, small and frequent changes, unit testing, CI/CD, packaging, and familiarity with containerization tools such as Docker and Kubernetes.

• arrow_forward Experience designing and implementing AI architectures in cloud environments (AWS, Azure, GCP).

What do we offer?

• arrow_forward Competitive salary: PLN 11,000 - 16,000 net per month (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 practical and substantive support – we are committed to continuous learning.

• arrow_forward Opportunity to work in a rapidly growing industry focused on AI, ML, and Data Science.

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.