Job Description
We're looking for a skilled MLops Engineer consultant to help us build a model training pipeline. We have labeled image data and would like to design and build a pipeline to train classification models.
- Design, implement, and build machine learning pipelines from data ingestion to model deployment, primarily using Vertex AI and Labelbox.
- Consult on the overall architecture and data strategy.
- Collaborate with Full Stack Engineers to integrate machine learning models into the application.
- Assist in identifying bottlenecks and optimize the performance of the machine learning pipeline.
- Develop monitoring tools to track the performance of models and the data pipeline.
Requirements
- 5+ years of experience in machine learning and data pipeline architecture.
- Proven experience in building machine learning pipelines for classification models.
- Experience building and tuning machine learning models
- Must have experience with Google Cloud Platform (GCP).
- Proficient in Python and experience with machine learning libraries such as TensorFlow or PyTorch.
- Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Benefits
Our commitment
At Vouched, we are committed to providing an environment where everyone receives equal consideration and treatment regardless of gender, gender identity, gender expression, sex, sexual orientation, race, color, religion, creed, national origin, ancestry, age, physical disability, mental disability, medical condition, HIV/AIDS/Hepatitis C status, genetic information, marital status, domestic partner status, military or veteran status, height, weight, and any other protected category under the law.
- Self-managed paid time off
- Medical/Vision
- Dental
- Flexible remote, work-from-home arrangements
- Salary: This is a contract position
This is a remote role. Pacific Time Zone preferred.