SRE/MLOps (with Ray.io)

N-iX is a global software development service company that helps businesses across the world develop successful software products. Founded in 2002, N-iX has come a long way, expanding its presence across Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies. 

Our client is a global commerce leader where you can influence how the world buys, sells, and gives. Youll be part of a work culture thats been genuinely committed to diversity and inclusion since its founding over twenty five years ago. Here, you can be yourself, do your best work along with a team of professionals, and have a meaningful impact on people across the globe. We seek people with drive, ideas, and a passion for helping small businesses succeed to help.

SRE/MLOps engineer with Python and ML framework

Responsibilities:

• Support the AI Platform and next-generation AI architecture for research and engineering teams
• Partner with vendors and infrastructure teams to ensure security and service availability
• Diagnose, triage, and fix production issues, including performance and functional problems
• Provide technical support to researchers, data scientists, and engineering teams
• Write support documentation and prepare reports on customer issues
• Identify opportunities for automation in the problem management process
• Collaborate with AI platform developers to implement CI/CD pipelines for automated deployment and configuration
• Develop and follow operational standards for tools, automation, versioning, and source control
• Ensure high availability of services (zero-downtime, 99.999%)

Requirements:

• Main coding language:

  Python

• Infra vs. coding requirements:

  30:70

• Kubernetes / Docker level:

  Proficient / Experience
• Hands-on experience with ML frameworks such as

  PyTorch, TensorFlow, Triton

• Familiarity with

  VLLM

  for large language models is a plus
• Debugging and triaging skills
• Experience with AI/ML model training and inferencing platforms is a plus
  Familiar with DevOps practices and continuous testing
• DevOps pipeline and automations: app deployment/configuration & performance monitoring
• Test automations, Jenkins CI/CD
• Excellent communication, presentation, and collaboration skills
• Good oral/reading/writing English ability

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers