Senior MLOPs Engineer
4 weeks ago
Key Requirements:
- Proficiency in MLOps and software engineering using Python
- Hands-on experience with cloud-native tools like BigQuery and Dataform
- Strong understanding of software testing methodologies and tools
- Experience in designing and implementing test cases for software applications
- Familiarity with automated testing frameworks and continuous integration/continuous deployment (CI/CD) pipelines
- Knowledge of Angular or React is an added advantage
- Good problem-solving skills and ability to work in a fast-paced environment
- Excellent communication skills & ability to work in a team
Responsibilities:
- Data Management for Large Language Models
- Implement MLOps best practices to Machine Learning workflows
- Collaborate with cross-functional teams to ensure seamless integration of systems
- Design and execute test cases to ensure Application quality and reliability
- Optimize data pipelines and enhance data quality and reliability
- Stay updated on the latest technologies and industry trends in MLOps, software testing, and cloud-native tools
Responsibilities:
- Data Management for Large Language Models
- Implement MLOps best practices to Machine Learning workflows
- Collaborate with cross-functional teams to ensure seamless integration of systems
- Design and execute test cases to ensure Application quality and reliability
- Optimize data pipelines and enhance data quality and reliability
- Stay updated on the latest technologies and industry trends in MLOps, software testing, and cloud-native tools
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