Machine Learning Engineer
AED 312K-386K (estimate) Senior-level Full Time
Tasks
- Add guardrails for AI responses
- Automate model lifecycle management
- Build data pipelines
- Build model serving services
- Create evaluation frameworks
- Design experiments
- Develop APIs for model access
- Develop training and inference workflows
- Evaluate response quality
- Implement automated testing for ML
- Implement monitoring and observability
- Implement prompt design
- Implement retrieval-augmented generation
- Implement vector search
- Improve LLM based workflows
- Integrate models into production architectures
- Monitor drift latency accuracy cost and bias
- Operationalize machine learning and AI models
- Perform debugging and failure analysis
- Perform feature engineering
- Set up CI CD for ML systems
- Tune models
- Validate models offline and online
Perks/Benefits
Skills/Tech-stack
APIs | Airflow | CI/CD | Classification | Clustering | Data Validation | Deep learning | Embeddings | Experiment tracking | Feature Engineering | Feature Stores | Generative AI | Go | Inference | Java | Kafka | LLMs | Latency optimization | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Serving | Model Training | Model versioning | Prompt engineering | PyTorch | Python | Ranking | Recommendation Systems | Regression | Retrieval-Augmented Generation | Spark | Supervised Learning | TensorFlow | Unsupervised Learning | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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