Remote (Fluent Ukrainian or English) Data Scientist (MLOps, AI DevOps)

Description:

• Seeking a dynamic and innovative Data Scientist (MLOps, AI DevOps) to drive the future of AI in production environments.
• Responsible for automating support for popular CRM systems using ML, with the product already in production.
• Collaborate with a team consisting of experienced professionals in Data Science, Machine Learning, Front-End, Back-end development, Marketing, and Design.
• Tasks include building and maintaining ML infrastructure, deploying and monitoring ML models, integrating ML models with software engineers, implementing CI/CD pipelines, troubleshooting performance issues, and documenting 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.
• Proficiency in monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).
• Familiarity with popular Machine Learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid experience with Python and scripting languages (e.g., Bash).
• Experience 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), 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, and a good sense of humor.

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.