Senior Expert (AI Engineering)
Tasks
- Benchmark and validate model performance
- Build training retraining and monitoring pipelines
- Collaborate cross functional teams on production AI solutions
- Deploy model inference services
- Design and train machine learning models for drug discovery
- Detect model drift
- Establish engineering best practices for reproducibility and testing
- Mentor teams and improve engineering excellence
- Optimize models and pipelines for production
- Own end-to-end model lifecycle
Perks/Benefits
- Global recognition programs
- Hybrid work options
- Insurance plans
- Paid parental leave
- Retirement plans
- Wellbeing resources
Skills/Tech-stack
Cloud deployment | Cross-validation | Deep learning | Distributed Training | Experiment tracking | Foundation Models | Graph Algorithms | Graph Neural Networks | JAX | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model versioning | Natural Language | Natural Language Processing | Neural Networks | Pandas | PyTorch | Python | R | Reproducibility | SQL | Series analysis | Time Series | Time Series Analysis | Transfer Learning
Education
N/A
Roles
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