Senior Machine Learning Operations/ Data Engineer

Senior ML Ops Engineer

Overjet is on a mission to improve oral healthcare for all. 

Our cutting-edge artificial intelligence technology encodes dentist-level training and analysis into scalable software tools. Today, our flagship products are used by some of the country’s largest insurance companies, dental support organizations, and dental practices to enable the best patient care. 

We’re looking for an experienced engineer who has built and operated AI/ML solutions at scale. This hire will be responsible for expanding and optimizing our MLOps tooling and machine learning pipeline infrastructure. 

Responsibilities

• Operate, monitor and support machine learning infrastructure
• Work closely with ML Scientists, ML Engineers and stakeholders to design and optimize the end-to-end model development process (dataset management, training, metrics)
• Building scalable, efficient and developer friendly automated processes for ML model deployment
• Building and running end-to-end data pipelines and operations from ingestion and integration through delivery for the data products.
• Guide the development of data resources, support new product launches and improve product runtime performance.
• Serve as a key technical resource for our ML Scientists helping them take their ML models from ideation through to production

Qualifications

• Experience operating and maintaining AI/ML solutions in production environments at scale
• Experience with SQL (ex. PostgreSQL) and NoSQL (ex. MongoDB)
• Strong programming skills using Python, Java or other high level programming languages
• Experience using messaging platforms like Google Pub/Sub, AWS SQS, Kafka, etc.
• Production experience with GCP, AWS or other major public cloud
• Experience with machine learning lifecycle management tools like MLFlow and Kubeflow is a plus
• Experience with Docker and Kubernetes is a plus
• Experience with data validation and data schema tools like Avro, ProtoBuf, etc.