Senior AI Engineer - LLMs and Finetuning
Tasks
- Build and operate training pipelines deployment systems and monitoring
- Design and build generative AI applications for financial workflows
- Drive end to end model development lifecycle
- Implement model evaluation and regression testing
- Lead model training data and synthetic data generation
- Optimize models for quality latency and cost
Perks/Benefits
- AI experimentation budget
- Enhanced parental leave
- Flexible working arrangements
- Group life assurance
- Hybrid working model
- Income protection
- Paid sabbatical
- Paid sick leave
- Private medical insurance
- Professional Learning and Development Budget
- Work Abroad Up To 3 Months
Skills/Tech-stack
AWS | Benchmarking | Data Generation | Distillation | Distributed Training | Efficient Fine Tuning | Fine Tuning | GPU Optimization | Inference acceleration | Instruction Tuning | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Parameter efficient fine-tuning | Preference optimization | Python | Quantization | Regression testing | Retrieval-Augmented Generation | Supervised Fine Tuning | Synthetic Data Generation | Synthetic data
Education
N/A
Roles
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