INACTIVE
Full-Time
ML Ops Engineer
Posted on 3/3/2023
Digital agriculture company
Food & Agriculture
Data & Analytics
Hardware
Compensation Overview
$119,573 - $197,407Annually
Mid, Senior
San Francisco, CA, USA + 2 more
Required Skills
Kubernetes
Python
Software Testing
Tensorflow
Keras
Docker
AWS
Google Cloud Platform
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
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.
Company Stage
M&A
Total Funding
$1.2B
Headquarters
St. Louis, Missouri
Founded
2006
Growth & Insights
Headcount
6 month growth
↓ -18%1 year growth
↓ -15%2 year growth
↓ -10%Benefits
Health Insurance
401K Plan
Work From Home
Maternity & Paternity Leave
Vacation & Paid Time Off
Paid Holidays
Sick Days
Free Lunch or Snacks
INACTIVE