Cloud Platform Engineer (Self - employed)

● Build and maintain a scalable and reliable AI platform that adheres to MLOps best practices;
● Collaborate with the team to integrate ML workloads and build orchestration pipelines;
● Automate and optimize infrastructure and deployment processes;
● Design, implement, and maintain monitoring, logging, and alerting systems for the ML platform;
● Work with the data engineering and data science teams to ensure seamless integration of models into production;
● Research and implement new technologies and best practices in the ML operations domain.

● Bachelor's or master's degree in computer science, software engineering, or a related field;
● 3+ years of experience in software engineering and system administration, preferably in an ML-related environment;
● In-depth knowledge of cloud platforms, preferably AWS;
● Experience with containerization and orchestration tools such as Docker, Kubernetes, etc;
● Proficiency with CI/CD, automation, and infrastructure-as-code;
● Familiarity with MLOps best practices and experience in building scalable ML platforms.

Technologies

● AWS, Kubernetes, Terraform, Docker, Python, CICD tooling;
● Nice to have: MLOps tooling (Kubeflow, Mlflow, Featurestores, Sagemaker).

What You'll Gain:

● Collaborate with top professionals on dynamic cloud projects;
● Thrive in an environment that values creativity and innovation;
● Play a key role in advancing next-generation technology.

● Location: Vilnius;
● Employment Type: Full-time (Hybrid);
● Salary: €35 – €47 per hour.

We’re eager to review your application!