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Mlops Engineer
Updated on 9/24/2022
Locations
San Francisco, CA, USA • Chicago, IL, USA • St. Louis, MO, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Docker
Google Cloud Platform
Keras
R
Research
Tensorflow
Kubernetes
Python
Requirements
  • MS Computer Science, Engineering, Technology, Mathematics, Statistics, or related field with 3+ years of industry experience or BS + 5 years' experience
  • Hands on coding experience with Python building end-to-end systems as an MLOps Engineer, Machine Learning Engineer, Software Engineer, or equivalent
  • Experience in ML model development, orchestration, deployment, monitoring, support and creating and maintaining deployment pipelines with CI/CD tools
  • Experience with cloud computing platforms like AWS, GCP, or other cloud providers developing with containers (e.g., Docker, Kubernetes) in cloud computing environments
Responsibilities
  • Collaborate with data engineers, data scientists, and product teams to guide the translation of R&D prototypes into stable, testable, and maintainable production services
  • Develop and deploy tools and services for our team to accelerate the production lifecycle and assessment of production readiness
  • Help lead team members in executing continuous integration and continuous delivery (CI/CD) activities to release code into a Production environment
  • Act as a consultant within the Science Organization on software engineering principles, code quality, and performance optimization techniques
  • Apply software engineering rigor and best practices to machine learning, including CI/CD and automation
  • Build model performance monitoring capabilities and data monitoring tools
Desired Qualifications
  • Exposure to deep learning approaches and modeling frameworks (Py Torch, TensorFlow, Keras, etc.)
  • Familiarity with MLflow or similar platforms like Kubeflow or SageMaker
  • Experience building and evaluating machine learning models
  • Strong understanding of software testing, benchmarking, and continuous integration
  • Experience mentoring and teaching software development best practices to data scientists
  • Ability to translate complex technical concepts to collaborations, decision makers, and non-technical audiences
The Climate Corporation
Digital agriculture company
Company mission
Climate's mission is to help the world’s farmers sustainably increase productivity with digital tools. The next breakthrough in agriculture will utilize data and analytics to optimize the many decisions farmers must make throughout the growing season and in planning their operations.
Benefits
  • Health Insurance
  • 401K Plan
  • Work From Home
  • Maternity & Paternity Leave
  • Vacation & Paid Time Off
  • Paid Holidays
  • Sick Days
  • Free Lunch or Snacks
Company Values
  • Innovate in all we do.
  • Inspire one another.
  • Leave a mark on the world.
  • Find the possible in the impossible.
  • Be direct and transparent.