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Machine Learning Solutions Architect

1 tydzień temu

Kraków, Lesser Poland GreenMinds Sp. z o.o. Pełny etat

About the Position

We are seeking a Machine Learning Solutions Architect to design, develop, and implement cutting-edge AI solutions. As a technical leader, you will drive innovation, set best practices, mentor engineers, and ensure scalable, secure, and efficient AI systems.

This is a 100% remote position available to candidates based in the USA, with a B2B contract model.

Key Responsibilities:

  • Lead the technical design and architecture of AI-driven solutions, ensuring scalability, security, and efficiency.
  • Collaborate with stakeholders, project managers, and engineers to define technical priorities, scope, and timelines.
  • Stay up-to-date with the latest AI and ML advancements, tools, and methodologies.
  • Establish and enforce best coding practices, architecture standards, and development methodologies.
  • Ensure AI solutions comply with data privacy and security regulations.
  • Optimize and monitor AI systems for performance, scalability, and reliability.
  • Drive CI/CD, automation, and cloud-native solutions for AI deployments.
  • Mentor and guide developers, ensuring technical excellence across projects.
  • Contribute to the strategic direction of AI initiatives within the organization.

Requirements

  • 4+ years of hands-on experience in AI, ML, and software development.
  • Deep understanding of the full software development lifecycle – from design to deployment.
  • Strong expertise in AI model deployment and API integration.
  • Hands-on experience with CI/CD tools (Jenkins, GitLab CI, CircleCI).
  • Proficiency in Infrastructure as Code tools (Terraform, Ansible, CloudFormation).
  • Solid experience with containerization (Docker, Kubernetes).
  • Strong background in cloud platforms (AWS, Azure, GCP) and DevOps services.
  • Familiarity with monitoring/logging tools (Prometheus, Grafana).
  • Proficiency in Python or .NET.
  • Ability to lead teams, mentor developers, and collaborate with cross-functional stakeholders.