ML Engineer Senior Remote

#senior #вакансия #ML #remote We are looking for a ML Engineer with strong Python expertise and hands-on experience deploying ML models in cloud environments. We specialize in building AI and data-driven solutions, helping organizations turn fragmented data into actionable insights and develop end-to-end ML/AI systems, automated pipelines, and analytics dashboards. Requirements: Strong Python skills and experience with Jupyter/Colab. Knowledge of Scala is a plus. Experience with MLOps tools, including model versioning, deployment/orchestration, and monitoring solutions. Experience with cloud platforms, preferably AWS, including production ML model deployment. English proficiency at B2 level or higher. Nice to have: Experience applying AI/ML to real product tasks (NLP, LLM or generative models). Strong understanding of model inference, optimization techniques, and practical deployment. Ability to improve model efficiency (latency, throughput, caching, batching, compression, etc.). Responsibilities: Designing and optimizing ML model development and deployment pipelines. Implementing CI/CD with GitHub Actions, including model testing and validation. Building ETL and training pipelines using CI/CD and Airflow. Monitoring and analyzing model performance using relevant monitoring tools. Work and payment conditions: Full-time schedule aligned with Pacific Standard Time (PST, California working hours). Salary: 5000$ - 8000$ net Payment available in USDT. If you meet the requirements and are interested, please apply. Send your CV to: #senior #вакансия  #ML  #remote We are looking for a ML Engineer with strong Python expertise and hands-on experience deploying ML models in cloud environments. We specialize in building AI and data-driven solutions, helping organizations turn fragmented data into actionable insights and develop end-to-end ML/AI systems, automated pipelines, and analytics dashboards. Requirements: Strong Python skills and experience with Jupyter/Colab. Knowledge of Scala is a plus. Experience with MLOps tools, including model versioning, deployment/orchestration, and monitoring solutions. Experience with cloud platforms, preferably AWS, including production ML model deployment. English proficiency at B2 level or higher. Nice to have: Experience applying AI/ML to real product tasks (NLP, LLM or generative models). Strong understanding of model inference, optimization techniques, and practical deployment. Ability to improve model efficiency (latency, throughput, caching, batching, compression, etc.). Responsibilities: Designing and optimizing ML model development and deployment pipelines. Implementing CI/CD with GitHub Actions, including model testing and validation. Building ETL and training pipelines using CI/CD and Airflow. Monitoring and analyzing model performance using relevant monitoring tools. Work and payment conditions: Full-time schedule aligned with Pacific Standard Time (PST, California working hours). Salary: 5000$ - 8000$ net Payment available in USDT. If you meet the requirements and are interested, please apply. Send your CV to: @eugene_999