Cloud and Machine Learning Architect

16 hours ago


Stockholm, Stockholm, Sweden The AI Framework Full time
About Us

We are at the forefront of AI-driven innovation, revolutionizing businesses and industries with our cutting-edge solutions. Our team environment values expertise, fosters idea sharing, and empowers passion for AI to thrive.

The Job Description

We are seeking a seasoned DevOps Engineer with a strong foundation in DevOps practices and a keen interest in artificial intelligence. This role involves designing, building, and maintaining scalable, secure, and efficient infrastructure to support AI applications and pipelines.

Key Tasks
  1. Design and implement CI/CD pipelines for seamless deployment of AI and software solutions.
  2. Develop and maintain cloud infrastructure optimized for AI workloads (e.g., GPU clusters).
  3. Collaborate with data scientists, AI engineers, and software developers to operationalize machine learning models.
  4. Monitor system performance, troubleshoot issues, and ensure high availability and security.
  5. Automate repetitive tasks to optimize workflows and improve system efficiency.
  6. Stay updated on industry trends and emerging technologies in AI and DevOps, sharing insights with the team.
Requirements
  • Proven experience as a DevOps Engineer or in a similar role, with a solid grasp of DevOps tools and practices.
  • Proficiency in cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Hands-on experience with infrastructure-as-code tools like Terraform or Ansible.
  • Familiarity with machine learning workflows, AI frameworks (e.g., TensorFlow, PyTorch), and MLOps concepts is beneficial.
  • Strong scripting skills in Python, Bash, or similar languages.
  • Passion for learning and applying AI technologies practically and positively.
  • Excellent problem-solving skills and a collaborative mindset.
Benefits
  • A chance to work on cutting-edge AI projects with a team of passionate innovators.
  • Opportunities for professional growth and continuous learning.
  • A flexible, inclusive, and supportive work environment.
  • A competitive salary and benefits package.


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