Machine Learning Engineer

Machine Learning Engineer

About the job

Modis is looking for Machine Learning Engineers. Our opportunities are either long-term engagements, contract to hire or permanent placement roles. If you’re looking for work in an enterprise level environment with a Fortune 100 company – make sure to apply today!


  • Plan, Configure, Deploy and Operate a cloud solution
  • Deliver Proof of Concepts for new Solutions on Cloud
  • Works well under pressure, independent and meets deadline


  • Hands on/working Knowledge of Google Cloud Platform(GCP)
  • Experience Hosting applications on GCP using Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, Big Query etc..
  • Good understanding of cloud design considerations and limitations and impact of pricing
  • Knowledge of Networking principles and protocols including not limited to Load Balancing, firewall rules
  • Proficient in scripting languages including Python, yaml.
  • Knowledge of Application Monitoring using GCP(Google stackdriver)
  • Prior experience working with: container technology, docker files, doscker images, Github, CI/CD concepts
  • Experience with infrastructure configuration management tools such as Terraform, Puppet and Chef.


  • Machine Learning experience
  • GCP Stack
  • Kubeflow
  • NLP
  • Platform vision
  • Migration to GCP
  • Understanding or desire to learn end to end Machine Learning technology stack (Tools such as Domino Data Labs, Kubeflow, Kubernetes, SeldonCore, GCP, Jupyter Notebook, Hive, etc).
  • Ability to work cross functionally
  • 1-2+ years of experience developing GCP ML app’s


  • Modis offers Visa sponsorship and Green Card services

Please feel free to contact Leticia Oliveira for further assistance at

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

The Company will consider qualified applicants with arrest and conviction records.

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