AI Solutions Architect

vor 2 Monaten

Stuttgart, Baden-Württemberg, Deutschland Seedbox Vollzeit
About Seedbox

Seedbox is a pioneering company at the forefront of Artificial Intelligence innovation, dedicated to harnessing the transformative power of AI to drive business growth and improvement. Our mission is to empower organizations to unlock their full potential through cutting-edge AI solutions, fostering a culture of collaboration, innovation, and excellence.

Job Summary

We are seeking an experienced AI Solutions Architect to join our team, responsible for designing, implementing, and maintaining robust MLOps pipelines to ensure seamless deployment and scaling of machine learning models. The ideal candidate will possess a strong background in machine learning, cloud platforms, and containerization, with excellent problem-solving skills and the ability to communicate complex technical concepts effectively.

Key Responsibilities
  • Design and implement end-to-end MLOps pipelines for seamless deployment and operation of machine learning models.
  • Collaborate with cross-functional teams to integrate ML models into production environments, 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.
What We Offer
  • Competitive Salary: Attractive, fair, and experience-based remuneration.
  • Flat Hierarchies: Encouragement of personal initiative and room for your own ideas.
  • Career Advancement: Dynamic environment with ample opportunities for professional growth.
  • Flexible Remote Culture: Adaptability in work location and hours, supported by efficient remote working tools.
  • Professional Development: Ideal environment for both personal and professional growth, with access to training and mentorship programs.
  • Modern Technology: State-of-the-art Apple devices and software for efficient and enjoyable work.
  • Prime Location: Attractive office in central Stuttgart, easily accessible by public transport and with ample parking.
  • Vibrant Team Culture: Regular team events, a fun atmosphere, and humorous colleagues.
  • Social and Sustainable Responsibility: Engage in meaningful sustainability and community initiatives within the company.
  • Performance Recognition: Working alongside performance-oriented, highly motivated colleagues in an ambitious setting, with clear recognition of achievements.
  • Employee Recognition Programs: Implement programs that regularly recognize and reward employees for their hard work and achievements.

At Seedbox, we are passionate about creating a work environment that fosters innovation, collaboration, and growth. If you are a motivated and experienced AI Solutions Architect looking to join a dynamic team and contribute to the development of cutting-edge AI solutions, we encourage you to apply for this exciting opportunity.

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