ML Engineer
1 week ago
ML Engineer:
Principal Responsibilities for the Role:
- Deploy and service ML/AI models developed by the Data Science team, using Brit's MLOps framework and considering the business requirements, scalability, and cost consideration of the service.
- Collaborate with ML Ops Engineers to maintain ML/AI services, ensuring operational availability to business users.
- Integrate ML/AI services into existing software applications across the organization or collaborate with other teams to develop new applications where applicable.
Required Technical Skills:
- Experience developing and deploying Machine Learning solutions in a commercial environment.
- Experience running CI/CD pipelines within a DevOps/MLOps setup needed.
- Experience working with resources and infrastructure in Azure needed, including but not limited to Azure Functions, Storage and Machine Learning
- Experience in working with various ML libraries and packages, and programming in Python needed.
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