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.
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.
Hands-on experience in deploying and maintaining machine learning models in production.
Proficiency in monitoring and logging tools like Prometheus, Grafana, ELK Stack.
Experience with popular Machine Learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn.
Solid experience with Python and scripting languages like Bash.
Familiarity with at least one major cloud platform (AWS, Azure, Google Cloud).
Basic understanding of MLOps practices and tools like MLflow, Kubeflow.
Knowledge of CI/CD pipelines and tools like Jenkins, GitLab CI.
Understanding of containerization technologies like Docker and orchestration tools like Kubernetes.
Familiarity with cloud-based ML services such as AWS SageMaker, Azure ML, Google AI Platform.
Proficiency in using Git and understanding branching, merging, and pull requests.
Experience with distributed computing frameworks like Apache Spark would be a plus.
Knowledge of model interpretability and explainability techniques is a plus.
Familiarity with automated testing and quality assurance practices for ML models is a plus.
Exposure to data engineering concepts and tools like ETL processes, data warehousing is a plus.
Good sense of humor is appreciated.
Benefits:
Compensation in USD.
Remote work in Ukraine or a 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.