Senior Machine Learning Engineer
AED 312K-386K (estimate) Senior-level Full Time
Tasks
- Apply responsible AI governance and risk assessment
- Build data pipelines for model training
- Build semantic retrieval pipelines
- Create RAG and agent workflows
- Define evaluation harnesses and safety controls
- Design production-grade machine learning systems
- Develop NLP ranking and recommendation solutions
- Develop feature stores and training workflows
- Ensure observability and monitoring for models
- Guide model selection and distributed training
- Implement drift detection and retraining strategy
- Implement model serving infrastructure
- Lead generative AI system architecture
- Mentor engineers and create reusable patterns
- Optimize GPU utilization and model compression
- Set up online experimentation
Perks/Benefits
Skills/Tech-stack
Agent workflows | CI/CD | Cloud Native | Deep learning | Distributed Training | Distributed inference | Drift Detection | Embeddings | Evaluation | Event Driven | Event-driven architecture | Experiment tracking | Feature Store | Forecasting | Go | Information Retrieval | Infrastructure as Code | Java | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Compression | Model Registry | Model Serving | Natural Language | Natural Language Processing | Observability | Prompt Optimization | Prompt engineering | PyTorch | Python | Ranking | Recommendation Systems | Responsible AI | Retrieval-Augmented Generation | Scikit-learn | Semantic Search | Streaming Data | TensorFlow | Vector Databases | “as-code”
Education
N/A
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