(Fluent Ukrainian) Data Scientist (MLOps, AI DevOps) in Outstaff Your Team

We are looking for an ambitious and creative Data Scientist (MLOps, AI DevOps) who is fanatical about AI, loves complex 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 launched in production. The 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 support ML infrastructure of ready solutions and pipelines; Support deployment and monitoring of ML models in production; Collaborate with Data Scientists and Software Engineers to ensure smooth integration of ML models; Implement and maintain CI/CD pipelines for ML projects; Eliminate issues related to performance and deployment of ML models; Update documentation and use best practices of MLOps processes; Influence 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 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 (eg TensorFlow, PyTorch, scikit-learn); Strong experience with Python;Experience with scripting languages ​​(eg Bash);Experience with one of the major cloud platforms (eg AWS, Azure, Google Cloud);Basic understanding of MLOps practices and tools (eg MLflow, Kubeflow); Basic 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); Understanding of ML cloud services (e.g. AWS SageMaker, Azure ML, Google AI Platform); Confident skills in using Git and understanding of branching, merging and pull requests Will be a plus: Experience with distributed computing frameworks (e.g. Apache Spark); Knowledge of interpretability and interpretability techniques of models; Familiarity with automated testing and quality assurance practices of ML models; Knowledge concepts and data processing tools (e.g. ETL processes, data storage); Sense of humor 😊BenefitsWe offer: Competitive compensation in USD; Opportunity to influence the product architecture; Many interesting tasks and communication with the team; Adequate, friendly management and no bureaucracy; Remote work in Ukraine or elsewhere in a nearby time zone; Atmosphere of a cozy startup with stability from a holding company Show more Show less Position level Senior secondary level Type of employment Full timeJob duties Engineering Industries Non-profit organizations and Primary and secondary education