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Senior Machine Learning Ops Engineer
Posted on 2/11/2022
INACTIVE
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
BigQuery
Data Science
Docker
Google Cloud Platform
Jenkins
Jupyter
Git
Keras
Leadership
Management
Pytorch
Tensorflow
Terraform
Natural Language Processing (NLP)
Kubernetes
Python
Requirements
  • You have a strong programming background. Fluency in Python and shell scripting required
  • You have strong system design skills with workflow optimization
  • You have experience with using Infra-as-Code tools such as Terraform and configuration automation tools such as Jenkins
  • You have robust software engineering skills and a track record of building custom tools that fit internal needs
  • You have experience using Docker and container orchestration technologies such as Kubernetes
  • You have experience in deployment and management of cloud native infrastructure and services with an emphasis on performance. Google Cloud experience preferred
  • You have familiarity with using git or similar code versioning software as well as Keras, Pytorch, and Tensorflow ML frameworks
  • You have experience in building and managing distributed compute infrastructure for AI/ML training at scale, and developing end-to-end ML pipelines with validation
  • You have experience in configuration and troubleshooting of AI and machine learning tooling such as Jupyter notebooks, GCP AI Platform, and GCP Vertex AI
  • You have Data warehouse experience, BigQuery
  • You have experience with transformer NLP models as well as experience using Airflow or similar DAG technologies
Responsibilities
  • Define a process for Data Scientists to convert models into optimal representations for inference
  • Define our evolution and migration to cloud data science development
  • Implement distributed computing for model inference in the cloud
  • Drive best practices for monitoring models in production
  • Implement improvements to our current cloud architecture for developing and evaluating models
  • Create CI/CD pipeline designed for Data Science services
  • Assist Data Scientists in designing tests for ML deployments
Mailchimp

1,001-5,000 employees

Marketing automation for e-commerce
Company mission
Mailchimp is an all-in-one Marketing Platform for small business. The company empowers millions of customers around the world to start and grow their businesses with smart marketing technology, award-winning support, and inspiring content.
Benefits
  • Investing in you and your future - Mailchimp pays for 100% of health, vision, and dental insurance premiums for all employees and their families. Wellness programs and intramural sports teams make it easy to prioritize your health. Our parental leave is ample and our 401k program—including profit-sharing—is next level.
  • Learning and development - Whether we’re attending conferences, doing internal apprenticeships, completing unconscious bias training, learning more through Mailchimp University, or enjoying our weekly Coffee Hour series, we’re always stretching our brains in new ways. We also offer up to $20,000 in tuition reimbursement.
  • Community dedication - We sponsor the work of dozens of local nonprofits, from arts organizations to literacy programs. Plus, every employee gets 16 volunteer hours a year to use working with the nonprofit of their choice.