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Senior MLOps Engineer

  • Seniority:

    Senior

  • Work model:

    Poland, Remote

  • Language:

    English (B2)

  • We are seeking a Senior MLOps Engineer with a strong background in machine learning and data science. The ideal candidate will have experience in developing and deploying applications that leverage large language models (LLMs), with a focus on agentic design and automation within the MLOps pipeline.

  • Key Responsibilities:

    • Design, build, and optimize ML and data pipelines for LLM applications.
    • Collaborate with data scientists and software engineers to deploy scalable, production-ready models.
    • Implement fine-tuning techniques for large language models to enhance performance.
    • Utilize cloud platforms (AWS, Azure, GCP) for deploying machine learning solutions.
    • Manage MLOps technologies and tools, including but not limited to AWS SageMaker, Kubeflow, and Vertex AI.
    • Automate workflows and streamline processes using scripting and CI/CD tools.
    • Ensure adherence to best practices in software development, including test-driven development and version control.
    • Maintain documentation and facilitate effective communication across teams using tools like Jira and Confluence.

  • Qualifications:

    • A minimum of 5 years of experience in Data Science, with at least 2 years in Data Engineering, ML Engineering, or MLOps.
    • Proficiency in programming languages such as Python and R.
    • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau).

  • What we offer:

    • Involvement in dynamic and interesting projects.
    • A collaborative and supportive team culture.
    • A flexible work environment.
    • A comprehensive benefits package tailored to your preferences.

  • Sounds interesting? Click “Apply” and have chance to hear more!

     

Apply now