Remote (Fluent Ukrainian or English) DevOps Engineer (deploying AI apps)

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Description:

  • Seeking a dynamic and innovative DevOps Engineer proficient in Ukrainian or English to deploy AI apps.
  • Responsible for automating support for CRM systems using ML, currently in production.
  • Collaborate with a team including a CEO, CTO, developers, ML Engineer, Marketing Manager, and Designer.
  • Assist in building and maintaining ML infrastructure and pipelines.
  • Support deployment and monitoring of ML models in production.
  • Implement and maintain CI/CD pipelines for ML projects.
  • Troubleshoot issues related to ML model performance and deployment.
  • Contribute to documentation and best practices for MLOps processes.

Requirements:

  • 1-1.5 years of commercial experience in a related role (e.g., ML Engineer, Data Engineer, DevOps Engineer).
  • Hands-on experience deploying and maintaining machine learning models in production.
  • Proficiency in monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).
  • Experience with popular Machine Learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid experience with Python and scripting languages (e.g., Bash).
  • Familiarity with at least one major cloud platform (AWS, Azure, Google Cloud).
  • Basic understanding of MLOps practices and tools (e.g., MLflow, Kubeflow).
  • Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).
  • Understanding of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
  • Familiarity with cloud-based ML services (e.g., AWS SageMaker, Azure ML, Google AI Platform).
  • Proficiency in using Git and understanding branching, merging, and pull requests.
  • Plus: Experience with distributed computing frameworks (e.g., Apache Spark), model interpretability techniques, automated testing for ML models, data engineering concepts, and tools.

Benefits:

  • Compensation in USD.
  • Remote work in Ukraine or similar time zone.
  • Adequate, friendly management with no bureaucracy.
  • Cozy startup atmosphere with stability from a holding company.
  • Plenty of interesting talks and communication with the team.
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