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Cloud Architect for Scalable Machine Learning Solutions

Cloud Architect for Scalable Machine Learning Solutions

beBeeMachinePalma de Mallorca, Islas Baleares, ES
Hace 6 días
Descripción del trabajo

Job Title :

  • Azure Machine Learning Infrastructure Specialist

About the Role :

This position focuses on designing, building, and maintaining scalable machine learning (ML) infrastructure in production environments. We are looking for a skilled professional with expertise in cloud platforms, distributed computing frameworks, and containerization technologies to join our team.

Key Responsibilities :

  • Develop and maintain infrastructure required for deploying and scaling ML services.
  • Implement and manage CI / CD pipelines for seamless deployment of ML models.
  • Collaborate with data scientists, ML researchers, and language experts to understand requirements for deploying ML models and provide necessary infrastructure support.
  • Automate and streamline build, test, and deployment processes to enhance efficiency and reduce time-to-market.
  • Monitor and optimize performance, availability, and scalability of production ML systems.
  • Implement security best practices to protect sensitive data and ensure compliance with relevant regulations.

    • Requirements :

  • Strong knowledge of cloud platforms (such as AWS, Azure, or GCP) and local cluster deployments, and experience in deploying and managing ML services on these platforms.
  • Knowledge of distributed computing frameworks (e.g., Spark) and big data technologies (e.g., Hadoop, Kafka).
  • Proficiency in Python, Shell, Ruby, Golang, or C++ and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Hands-on experience with containerization technologies (e.g., Docker) and orchestration frameworks (e.g. Kubernetes).
  • Familiarity with CI / CD tools (e.g., Jenkins, GitLab CI / CD) and version control systems (e.g., Git).
  • Solid understanding of networking, security, and system administration concepts.
  • Strong problem-solving and troubleshooting skills, with the ability to quickly analyze and resolve issues in complex ML systems.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
  • Bachelor's or higher degree in Computer Science, Engineering, or a related field.

    • Desired Skills and Experience :

  • Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with serverless computing and event-driven architectures.
  • Experience with logging and monitoring tools (e.g., ELK Stack, Prometheus, Grafana).
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    Cloud Architect • Palma de Mallorca, Islas Baleares, ES