AI Solutions Architect

vor 4 Wochen

Stuttgart, Baden-Württemberg, Deutschland Seedbox Vollzeit

Transform Your Business with AI

At Seedbox, we empower mid-sized German businesses to harness the transformative power of artificial intelligence. Our custom AI and full-stack development solutions are designed to seamlessly integrate into unique business processes, elevating efficiency and driving innovation.

Key Responsibilities

  • Design, implement, and maintain robust MLOps pipelines for seamless deployment and operation of machine learning models.
  • Collaborate with cross-functional teams to integrate ML models into production, ensuring high performance and scalability.
  • Implement and manage Continuous Integration/Continuous Deployment (CI/CD) processes for machine learning projects.
  • Monitor and optimize the performance, reliability, and scalability of ML models in production environments.
  • Ensure best practices for versioning, traceability, and reproducibility of models and data.
  • Troubleshoot and resolve issues related to model deployment, performance, and integration.
  • Implement robust monitoring, logging, and alerting mechanisms for deployed models.
  • Maintain and enhance security, compliance, and data privacy standards within ML workflows.
  • Research and evaluate new tools, technologies, and practices to improve MLOps processes.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • At least 3 years of professional experience in MLOps, DevOps, or related fields with a focus on machine learning models.
  • Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Deep understanding of cloud platforms (AWS, Azure, Google Cloud) and their ML services.Expertise in containerization and orchestration technologies like Docker and Kubernetes.
  • Experience with CI/CD tools such as Jenkins, GitLab CI, or similar, specifically for ML pipelines.
  • Proficient in using monitoring and logging tools (e.g., Prometheus, Grafana) to manage ML models in production.
  • Strong knowledge of software development best practices, including version control (Git) and collaborative development.
  • Excellent problem-solving skills, with a proactive approach to identifying and addressing potential issues.Strong communication and teamwork abilities, with experience working in cross-functional teams.
  • Ability to communicate fluently in both spoken and written English.

Why Join Us?

We are a company that doesn't just talk the talk, but walks the walk. Our employees are passionate about what they do, and that passion is what sets us apart. We don't just live for AI; we create it.

To help you reach your full potential and develop outstanding AI products with us, we provide all the necessary conditions. From cutting-edge technology to a supportive and inspiring work environment – you'll find everything you need to achieve greatness here.

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