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MLOps Engineer - Remote

YD Talent Solutions

Role overview

Qualifications

  • 10+ years of IT experience
  • 6+ years of relevant MLOps experience
  • Extensive experience with GCP
  • Strong communication skills

Responsibilities

  • Develop best practices for MLOps practices
  • Adopt best practices for processed data storage
  • Provision and configure cloud infrastructure
  • Automate ML deployments and connect with Big Data

About the company

YD Talent Solutions logo

YD Talent Solutions

YD Talent Solutions (YDTS) was established in 2005 with an intention of providing its client non-conventional methods of fulfilling highly technical or even simple job tasks utilizing multi-faceted Talent Solution Software. YDTS is a boutique human resource services, recruitment and RPO firm. The team of consultants is comprised of true experts with significant business careers prior to joining the firm, who understand the complexity of these business sectors. We have dozens of dynamic researchers working round the clock to deliver the right fit for your team in record time. YDTS has Specialists working round the clock to meet business needs with an extensive use of state-of-the-art infrastructure and recruitment software tools. At YDTS, we strive to exceed your expectations by breaking barriers and changing the game. If you need help with hiring, staff augmentation, payroll, compliance, or benefits administration, contact us. We’re available to help you navigate even the most difficult human resources issues. We inspire individuals and organisations to work more effectively and efficiently, and create greater choice in the domain of work, for the benefit of all concerned. The company has since inception grown into being one of the leading providers of highly professional recruitment and human resource services. Our core principles shape our efforts. We are dedicated to our clients, and they benefit from our success. We are driven by our people, customers, vendors and associates.

Company details

Company size11 - 50

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Job description

This is a remote position.

About our client:

Our client is a global technology company specializing in platform-based digital transformation, supporting businesses to become connected, open, intelligent and scalable. Our client's methodology brings together industry expertise, platform technology excellence, design innovation and strategic engagement models to deliver sustained value to customers.

They are a trusted partner of world leaders in the retail, manufacturing, distribution, travel, services and software industries, their software portfolio includes Retail Platform, Modern Distribution, Digital Travel, E-commerce, enterprise development automation, Commodity Trading and Risk Management and AI Powered Customer Experience (CX). Our client services are built on Microsoft Dynamics 365, Microsoft Azure, AWS, Cloud Engineering and Managed Services delivery promise.

As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, their people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.


Requirements

MLOps Engineer | Remote

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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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