We’re looking for a Machine Learning (Ops) Engineer who is experienced in deploying and managing machine learning models at scale in production for our Machine Learning Operations team. The team is a cross-functional team and as a ML Engineer you will closely work with data scientists and data engineers in operationalizing ML models.
Roles and Responsibilities:
· As an ML Engineer in the MLOps team you will be a key stakeholder and owning responsibility in operationalize and monitor machine learning models using high end tools and technologies.
· Requirement gathering specific to ML Systems.
· Execute best practices in version control and continuous integration / delivery
· Collaborate with data scientists, data engineers and other key stakeholders
· Work well in a fast-paced cross-functional environment
Expertise should include some or all of the following:
- Python
- Machine learning
- Artificial Intelligence
- Big Data
- TensorFlow
- AWS
