Job Description
Job Summary
The MLOps Engineer will be responsible for deploying data scientist's model and make it accessible to the software that utilizes it. Responsibilities include - deploy, manage, and optimize machine learning models in production environments, ensuring smooth integration and efficient operations.
Key Responsibilities
Business
The MLOps Engineer will be responsible for deploying data scientist's model and make it accessible to the software that utilizes it. Responsibilities include - deploy, manage, and optimize machine learning models in production environments, ensuring smooth integration and efficient operations.
Key Responsibilities
Business
- Proficiency in data modelling and ETL processes
- Basic understanding of use cases of the business domai
- Strategize, plan and deliver MLOps initiatives by liaising with key business stakeholders
- Design, develop and deploy complex AI/ML solutions on cloud infrastructure (using ML engineering, ML Ops workflows & tools) that can scale in response to changing business and technical requirements
- Create infra and architecture diagrams
- Ability to project manage, allocate ...
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