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 in deploying and maintaining machine learning models in production.
Proficient 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, 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.