DevOps Engineer with Python

You would work on the new ML and AI platform involving several Sprint teams around the new AI/ML product. We are looking for experts: DevOps Engineer or MLOps Engineer.
Job Responsibilities:

Platform Ops 70% / coding (platform automation) 30%
Participate in the development of highly scalable platforms for extracting, analyzing, and processing large amounts of contextual data from a plethora of sources, both in real-time and in batch modes.
Working closely with other engineers and scientists, develop solutions to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms in production systems at a very large scale.

Basic Qualifications:

7+ years of hands-on experience deploying the platforms or software at production scale
7+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments, and operations.
Expert experience in DevOps or ML Ops
Experience in programming languages (automation of the infrastructure) ie. Python, Java

Experience in one of the areas:

AWS Cloud Infrastructure (e.g., Kubernetes, Terraform, CICD)
MLOps: e.g., Kubeflow or Knative or Kserve or Nvidia Triton or ML Flow

Preferred Qualifications:

MS or PhD in Computer Science or equivalent experience.
Experience working with large-scale distributed systems, preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
Experience dealing with real-world large-scale datasets.
Strong understanding and passion for statistical/mathematical modeling and data analysis.
Working hours: 7-10 AM or 19-21. Need to overlap with one of these slots. Besides that can work normal hours but standard employment hours - 8hs
E-mail:
recruitmentmd@eu.rsystems.com