(Fluent Ukrainian) DevOps Engineer (deploying AI apps) in Outstaff Your Team

We are looking for an ambitious and creative DevOps Engineer who is fanatical about AI, loves difficult challenges and is ready to implement innovative solutions in the field of artificial intelligence.

Product: created to automate support (text communication) for popular CRM systems using ML. The product is put into production.

Team: our team already has an experienced CEO & STO with a background in Data Science and Machine Learning, Front-End, Back-end developers, Machine Learning Engineer, Marketing Manager and Designer. 

What we will do:

• Build and maintain the ML infrastructure of ready-made solutions and pipelines;
• Support deployment and monitoring of ML models in production;
• Collaborate with Data Scientists and Software Engineers to ensure seamless integration of ML models;
• Implement and maintain CI/CD pipelines for ML projects;
• Eliminate problems related to the performance and deployment of ML models;
• Update documentation and use best practices of MLOps processes;
• Influence the project strategy, brainstorm with the team.

Requirements

Important and required:

• 1-1 .5 years of commercial experience in a related role (e.g. ML Engineer, Data Engineer, DevOps Engineer);
• Practical experience of deploying and supporting ML models in production;
• Experience with monitoring and logging tools (eg Prometheus, Grafana, ELK Stack);
• Experience with popular ML frameworks and libraries (for example, TensorFlow, PyTorch, scikit-learn);
• Solid experience with Python;
• Experience with scripting languages ​​(for example, Bash);
• Experience with one of the major cloud platforms (for example, AWS, Azure, Google Cloud);
• Basic understanding of MLOps practices and tools (e.g. MLflow, Kubeflow);
• Basic knowledge of CI/CD pipelines and tools (eg, Jenkins, GitLab CI);
• Understanding of containerization technologies (e.g. Docker) and orchestration tools (e.g. Kubernetes);
• Understanding of ML cloud services (eg AWS SageMaker, Azure ML, Google AI Platform);
• Confident Git skills and understanding of branching, merging and pull requests.

Will be a plus:

• Experience with distributed computing frameworks (eg Apache Spark) ;
• Knowledge of interpretability and explainability techniques of models;
• Familiarity with automated testing and quality assurance practices of ML models;
• Knowledge of data processing concepts and tools (for example, ETL processes, data storage);
• Sense of humor 😊

Benefits

We offer:

• Competitive compensation in USD;
• Ability to influence product architecture;
• Many interesting tasks and communication with the team;
• Adequate,friendly management and no bureaucracy;
• Remote work in Ukraine or elsewhere in a close time zone;
• Atmosphere of a cozy startup with stability from a holding company.