We are seeking a highly skilled MLOps Engineer Contractor to support the development and operation of ML pipelines and quality dashboards within our Machine Learning Platform and Search infrastructure. This role is critical in ensuring the reliability, scalability, and efficiency of our ML pipelines, CI/CD workflows, and model/data quality dashboards
Responsibilities
- Data Pipeline Management
- Maintain and optimize training data pipelines leveraging the latest big data tools with an emphasis on cost-effectiveness and reliability
- Model Lifecycle Management
- Onboard new ML models onto the existing platform with standardized training automation and interfaces
- MLOps
- Maintain and enhance CI/CD pipelines for ML data & model pipelines
- Operate sign-off and deployment processes, ensuring high quality model sign-off
- Quality Dashboards
- Design and develop quality dashboards to monitor the quality and reliability of both models as well as data artifacts produced
Key Qualifications
- Bachelors degree in Computer Science, Engineering, or a related field.
- Minimum 5+ years of experience in software engineering with a focus on full-stack development and infrastructure.
- Prior hands on experience in ML model productionalization and operationalization
- Familiarity with ML frameworks such as Sklearn, PyTorch, Tensorflow
- Familiarity with data processing frameworks such as Spark
- Familiarity with up-to-date CI/CD and MLOps best practices.
- Strong problem-solving and analytical skills.
- Proven track record of working independently and as part of a distributed global team.