Join Pathway as a Machine Learning DevOps Engineer to design and manage scalable cloud infrastructure and compute clusters for cutting-edge ML applications. Collaborate with data scientists to optimize deployment pipelines and ensure high-performance AI workflows in a dynamic remote environment.

Pathway is seeking a talented Machine Learning DevOps Engineer to join our remote team and drive the infrastructure behind our AI and machine learning initiatives. In this role, you will architect and maintain robust cloud environments and compute clusters that power large-scale ML models, ensuring seamless integration between development and operations.

You will work closely with our data science and engineering teams to automate deployment processes, monitor system performance, and scale resources efficiently for demanding computational workloads. Responsibilities include setting up secure, high-availability infrastructures on cloud platforms, optimizing GPU clusters for training and inference, and implementing best practices for version control, testing, and release management in ML projects.

The ideal candidate thrives in a collaborative setting, has a passion for emerging technologies, and is committed to delivering reliable, efficient solutions that accelerate our product innovation. This position offers the chance to contribute to groundbreaking AI applications while enjoying the flexibility of remote work.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 3+ years of experience in DevOps practices, particularly with machine learning pipelines
• Proficiency in cloud platforms such as AWS, GCP, or Azure, with expertise in Kubernetes and Docker for container orchestration
• Strong knowledge of CI/CD tools like Jenkins, GitLab CI, or GitHub Actions
• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and infrastructure as code (Terraform, Ansible)
• Familiarity with compute clusters (e.g., Slurm, Ray) and GPU optimization
• Excellent problem-solving skills and ability to work in a fast-paced, remote team
• Proficiency in Python and scripting languages

• Competitive monthly salary with performance bonuses
• Fully remote work with flexible hours
• Comprehensive health insurance and wellness programs
• Professional development opportunities, including conferences and certifications
• Collaborative and innovative company culture with access to the latest tools
• Generous paid time off and work-life balance initiatives
• Stock options and equity in a growing tech company