Machine Learning Engineer/MLOPS Engineer

Integral Solutions is a company based in Warsaw, Poland, offering projects involving Machine Learning and Large Language Models (LLM) with a focus on scalable solutions using Python, Kubernetes, and Google Cloud Platform (GCP).

• Previous experience in developing and deploying applications in Python.
• Very good knowledge of Linux systems (Debian, RHEL).
• Comfortable working with containerized applications running in Kubernetes.
• Experience with cloud solutions, preferably GCP.
• Ability to independently diagnose problems and propose and implement solutions.
• Knowledge of DevOps or MLOps methodologies.
• Willingness to develop skills in ML/LLM.

Nice to have:

• Knowledge of MLOps, LLMOps, and Big Data.
• Familiarity with CI/CD concepts (e.g., Jenkins, GitLab CI).
• Experience working with data warehouses and ETL processes.

• Designing and implementing applications using Machine Learning models and Large Language Models (LLM).
• Configuring and maintaining applications running on Linux and Kubernetes environments in Google Cloud Platform (GCP).
• Diagnosing and resolving issues related to deployed solutions.
• Actively participating in MLOps team projects and development initiatives.

• Location: Warsaw, Poland.
• Work mode: Hybrid, 1 day in office and 4 days remote.
• Cooperation type: B2B contract.