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

Description:

• Seeking an ambitious and creative Data Scientist (MLOps, AI DevOps) passionate about AI and tackling complex challenges in the field of artificial intelligence.
• Product: Automation of support (text communication) for popular CRM systems using ML, already launched in production.
• Team consists of an experienced CEO & CTO with a background in Data Science and Machine Learning, Front-End and Back-End developers, Machine Learning Engineer, Marketing Manager, and Designer.
• Responsibilities include building and maintaining ML infrastructure, supporting deployment and monitoring of ML models in production, collaborating with Data Scientists and Software Engineers, implementing CI/CD pipelines for ML projects, resolving performance and deployment issues, updating documentation, and influencing project strategy.

Requirements:

• 1-1.5 years of commercial experience in a related role (e.g., ML Engineer, Data Engineer, DevOps Engineer).
• Practical experience deploying and supporting ML models in production.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).
• Working experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficient in Python and scripting languages (e.g., Bash).
• Experience with major cloud platforms (e.g., 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 ML services (e.g., AWS SageMaker, Azure ML, Google AI Platform).
• Strong skills 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, data processing concepts (e.g., ETL processes, data storage), and a sense of humor.

Benefits:

• Competitive compensation in USD.
• Opportunity to influence product architecture.
• Variety of interesting tasks and team collaboration.
• Supportive and friendly management with no bureaucracy.
• Remote work in Ukraine or within a close time zone.
• Atmosphere of a cozy startup with stability from a holding company.