Senior Expert (AI Engineering)
Tasks
- Benchmark and validate models
- Build automated training pipelines
- Build monitoring pipelines
- Collaborate with research teams
- Deploy model inference services
- Design machine learning models
- Detect model drift
- Develop graph based models
- Establish reproducibility testing and deployment standards
- Evaluate model performance
- Mentor teams
- Optimize for latency, throughput, and cost
- Own model lifecycle end to end
- Train deep learning models
- Validate models against biological benchmarks
Perks/Benefits
- Flexible working options
- Global recognition programs
- Hybrid working options
- Insurance plans
- Paid parental leave
- Relocation support not available
- Retirement plans
- Wellbeing resources
Skills/Tech-stack
Cross-validation | Data Validation | Deep learning | Distributed Training | Drift Detection | Experiment tracking | Graph Algorithms | JAX | Language Processing | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model versioning | Natural Language | Natural Language Processing | Pandas | PyTorch | Python | SQL | Series analysis | Statistical Analysis | Time Series | Time Series Analysis
Education
N/A
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