Senior ML Engineer
HKD 150K-200K (estimate) Senior-level Full Time
Tasks
- Build CI/CD pipelines
- Build agentic workflows
- Build feature engineering workflows
- Build model serving APIs
- Collaborate with data scientists and engineers to productionize solutions
- Create evaluation frameworks
- Create reusable templates and engineering standards
- Design build maintain scalable data pipelines
- Develop GenAI services
- Develop MLOps practices
- Ensure governance ready release processes
- Implement automated testing
- Implement experiment tracking
- Implement function calling
- Implement retrieval-augmented generation
- Improve observability logging monitoring alerting
- Manage model versioning
- Monitor models in production
- Optimize performance and cost efficiency
- Orchestrate prompts
- Perform vector search
- Run batch inference jobs
Perks/Benefits
Skills/Tech-stack
API Development | Agentic Workflows | Alerting | Automated testing | Azure | Batch inference | CI/CD | Containerization | Databricks | Docker | Evaluation Frameworks | Experiment tracking | Function Calling | Generative AI | Langchain | Langgraph | Logging | MLOps | Machine Learning | Model Serving | Model versioning | Monitoring | Prompt engineering | Prompt orchestration) | Python | Retrieval-Augmented Generation | SQL | Spark | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
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