We're in search of a proficient MLops Engineer consultant to aid us in constructing a model training pipeline. We possess labeled image data and intend to design and establish a pipeline for training classification models.
Responsibilities
- Design, execute and build machine learning pipelines from data consumption to model deployment, primarily using Vertex AI and Labelbox.
- Offer consultation on overall architecture and data strategy.
- Cooperate with Full Stack Engineers to incorporate machine learning models into the application.
- Aid in recognizing bottlenecks and optimize the performance of the machine learning pipeline.
- Create monitoring tools to keep track of the performance of models and the data pipeline.
Requirements
- 5+ years of experience in machine learning and data pipeline framework.
- Demonstrated experience in constructing machine learning pipelines for classification models.
- Prior experience building and fine-tuning machine learning models.
- Must have experience with Google Cloud Platform (GCP).
- Proficiency in Python and familiarity with machine learning libraries such as TensorFlow or .
- Strong communication abilities, with the capability to elucidate technical concepts to non-technical stakeholders.
Benefits
Our commitment
At Vouched, we are dedicated to creating an environment where everyone gets equal consideration and treatment irrespective of gender, gender identity, gender expression, sex, sexual orientation, race, color, religion, creed, nationality, 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 category protected by law.
- Self-managed paid time off.
- Medical/Vision
- Dental
- Flexible remote, work-from-home arrangements
- Salary: This is a contract position