Position: MLOps
Company: Globallogic
Experience required: 5y
English level: intermediate

• Knowledge of programming languages (Python & GO preferred). Python is a must
• 2-3 Years experience in Dev-Ops development
• Excellent team working and communication skills
• Excellent organizational and time management skills with the ability to work
on multiple projects in parallel
• Experience with all aspects of software architecture, including security,
scalability, monitoring, computing, and throughput
• Container and orchestration experience with Docker and Kubernetes (AKS,EKS, GKE)
• Working experience with cloud providers - AWS, GCP, Azure
• Awareness of DevOps and Agile principles

Good to have:
• Familiarity with modern DevOps practices and ability to establish CI/CD
processes
• Deploying production-grade AI/deep learning solutions in a cloud
environment
• Experience with Peer-to-Peer networking technologies such as WebRTC
and client-server networking
• Experience with : Argo CD, CircleCI, Jenkins, GitHub Actions, JFrog,
Customize, Helm, Terraform

Job Responsibilities:
As our DevOps engineer you will be part of leading and working closely with software
developers and researchers.
Responsibilities include:
• Maintain and support Python-based pipelines running on Kubeflow 
• Deploy, manage and administrate existing / new CICD tools
• Building configuration and automation tools to support the application
delivery process as well as ML pipelines
• Orchestrate the delivery pipeline of development environments and
eventually production
• Work on ways to automate and improve development and release process


Details:
We build an iOS (iPhone) application for camera usage and video captures with real-time object detection as well as uploading to AWS videos for further processing. We need to work with the camera frames and timestamps to have good enough information for the ML processing. We also have to build the interface for the mask creation in real-time. The solution will detect players and ball in real-time.