T Hub - AI Engineer ML Ops & GPU computing

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Description

Обязанности: Design and develop AI and Machine Learning solutions., Build and maintain MLOps pipelines (CI/CD for ML models)., Automate model training, deployment, and monitoring processes., Manage the end-to-end machine learning lifecycle (ML Lifecycle Management)., Collaborate closely with Data Scientists, Software Engineers, and business stakeholders., Optimize computational resource utilization, particularly GPU-based environments., Monitor model performance, quality, and data drift., Contribute to the design of AI architectures on cloud platforms., Create technical documentation and establish engineering best practices. Опыт: Minimum 3 years of experience in AI/ML projects., Strong proficiency in Python., Hands-on experience with: PyTorch or TensorFlow, Scikit-learn, Hugging Face, Experience with MLOps technologies: MLflow, Kubeflow, Azure Machine Learning, Vertex AI, or SageMaker, CI/CD tools (GitHub Actions, Azure DevOps, GitLab CI), Experience with Docker and Kubernetes., Hands-on experience working with distributed AI/ML environments and compute clusters., Good understanding of cloud platforms (Azure, AWS, or GCP) or on-premise systems., Understanding of workload orchestration, resource allocation, and scaling for machine learning workloads., Experience with Git and modern DevOps practices., English proficiency at B2 level or higher., Strong ownership and accountability for delivered solutions., Ability to translate business requirements into technical implementation

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