Machine Learning Engineer Jobs

Title : MLOPs with GCP

Client: FTE with People Tech

Location: Remote

Duration: Long Term

MLOPs with GCP

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

Nice to have:

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