MLOps Engineer - Remote

MLOps Engineer | Remote

• 10+ years of IT experience in which at least 6+ years of relevantexperience primarily in MLOps, Cloud, Dockerization & Containerization.
  
• Develop best practices and how-to guides for MLOps practicesrelating Git, CI/CD, Input data unit and statistical testing, Experimenttracking, Model Registry, Scheduling of ML pipelines, Production driftmonitoring and alerting, Optimization of cloud compute resources
  
• Adopt best practices for writing processed data (ML features) toappropriate data lakes, warehouses, or feature stores
  
• Extensive experience with infrastructure provisioning and configuringpublic and hybrid clouds with mandatory GCP experience.
  
• Dockerization of Machine Learning scripts and deployment in Google CloudPlatform.
  
• Ability to create automatically and deploy Machine Learning notebooks.Also, ability to establish connection with Big Data infrastructure from theMachine Learning notebooks.
  
• Experience administering Kubernetes, Google Kubernetes Engine (GKE) andunderstanding of manifest management with Helm.
  
• Experience with CI/CD pipelines and related tools such as Jenkins orCircleCI and Google Cloud Build.
  
• Experience with configuration management tools and deployment tools likeTerraform and Google Deployment Manager.
  
• Good knowledge of other tools likePuppet, Ansible, Chef, Consul, Packer etc.
  
• Setup of Monitoring and Alerts for Production workloads in Google CloudPlatform.
  
• Experience in automating multiple systems using Bash and languages suchas Python and Go.
  
• Recommend and implement automated solutions that will improve theperformance and reliability of the system.
  
• Strong understanding and experience operating in an agile developmentenvironment.
  
• Strong communication skills across the board, with a passion for findingand sharing best practices and driving greater discipline.
  
• Excellent verbal and written communication skills in English.
  

Nice to have:

• Experience in managing Linux/Unix platforms, application serveradministration (Tomcat, JBoss, etc.) and DNS, Linux system configuration andadministration (CentOS, RedHat, etc.).
  
• Good exposure with monitoring tools geared towards user experience anddeep diagnostics (Splunk, New Relic, AppDynamics, Prometheus, Grafana, etc.)