Machine Learning Engineer
- El Segundo, CA
- Remote
Growing startup is looking for a REMOTE Machine Learning Engineer
A bit about us:
Recently founded, we are an AI-powered data infrastructure platform for commercial and industrial IoT. We empower enterprises and developers to create new revenue possibilities, optimize operations, and accelerate innovation. At our core, we organize heterogenous data sets from various customers with customized machine learning models.
Why join us?
- Work remote
- Competitive compensation
- Full benefits: Medical, Dental and Vision
- Unlimited PTO
- Pre-IPO stock options
- Paid parental leave
Job Details
Work remote
We are seeking a Machine Learning Engineer to develop and oversee data and model pipelines such as configuration, training, and deployment of models. You will work closely with a team of data scientists to quickly respond to customers' needs.
Responsibilities:
You should know some of the following:
We are seeking a Machine Learning Engineer to develop and oversee data and model pipelines such as configuration, training, and deployment of models. You will work closely with a team of data scientists to quickly respond to customers' needs.
Responsibilities:
- Design, develop and refine infrastructure for operating machine learning pipelines at scale
- Automate infrastructure maintenance and management for tracking our fleet of customer deployments
- Implement data transformation
- Work directly with data scientists and DevOps team to enable successful deployments
- Monitor ML and data pipelines
You should know some of the following:
- Experience in MLOps (Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube)
- Python for automation and backend development
- Bash and Unix command line toolkit
- CI/CD/CT pipeline implementation