Lead Data Scientist/AI Engineer
AED 192K-234K (estimate) Senior-level Full Time
Tasks
- Apply secure coding and access controls
- Automate retraining rollback and releases
- Build CI CD pipelines for ML systems
- Build feature pipelines and feature stores
- Build reusable libraries and internal SDKs
- Containerize and deploy services with Docker and Kubernetes
- Create developer documentation and runbooks
- Design for high availability fault tolerance and scalability
- Design scalable modular AI solutions
- Develop production ML solutions in Python
- Establish coding standards and review processes
- Implement data pipelines batch and streaming
- Implement model versioning and experiment tracking
- Implement unit integration and end-to-end tests
- Optimize inference latency throughput and cost
- Package models into deployable services APIs microservices batch jobs
- Set up monitoring and observability for data and models
- Structure codebases into testable modules
- Translate business problems into data and ML system architectures
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Cross-validation | Data Engineering | Data Pipelines | Data cleaning | Docker | ETL | End to End | End-to-End Testing | Experiment tracking | Feature Engineering | Feature Store | Git | Hyperparameter Tuning | Hypothesis Testing | Integration Testing | JavaScript | Kubernetes | MLOps | Machine Learning | Model versioning | Monitoring | Observability | Probability and statistics | Python | Regression | SQL | Security | Testing | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Lead | Lead Data | Lead Data Scientist | Learning Engineer | Machine Learning Engineer | Scientist
Regions
Countries
States
Cities
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