Option is looking for a talented Machine Learning Engineer to join their Advanced Analytics team. The role involves promoting and implementing MLOps culture, making models available in a highly scalable environment, and collecting their interaction with reality.
Requirements
- Solid experience in Python as the primary language
- Experience developing Microservices and APIs
- Experience interacting with CI/CD pipelines (Cloudbees/Jenkins)
- Experience deploying resources via Infrastructure as a Service (Terraform)
- Experience implementing GCP services: (Pub/Sub, Cloud Functions, Vertex, Cloud Run, App Engine, Cloud Storage, EventArc, Datastore) or similar experience in AWS (Amazon SQS/SNS, Lambda, SageMaker, Fargate, EKS, Beanstalk, S3, Eventbridge, DynamoDB)
- Experience with Test Driven Development
- Experience with Docker/Kubernetes
- Familiarity with both SQL and NoSQL database technologies
- Excellent communication and collaboration skills
- The ability to work independently and as part of a team
- A passion for technology and a constant desire to learn and grow
Benefits
- A competitive compensation and benefits package