We are looking for an ML/AI Engineer with strong Python skills and hands-on experience deploying machine learning models in cloud environments. Requirements Excellent proficiency in Python and experience with Jupyter/Colab. Hands-on experience with MLOps tools: model versioning, deployment/orchestration, monitoring. Experience with cloud platforms (preferably AWS) and deploying ML models into production. English level: B2 or higher. Nice to Have Experience applying ML/AI to real product tasks (NLP, LLMs, generative models). Strong understanding of model inference, optimization techniques, and production-level deployment. Experience improving model efficiency: latency, throughput, caching, batching, compression, etc. Responsibilities Designing and optimizing ML model development and deployment pipelines. Implementing CI/CD (GitHub Actions), including model testing and validation. Building ETL and training pipelines using CI/CD and Airflow. Monitoring and analyzing model performance using modern monitoring tools.