[TW Engineering] Staff Machine Learning Engineer
Tasks
- Apply MLOps best practices
- Automate data profiling and ML prototyping
- Build benchmark evaluation frameworks
- Conduct technical design reviews
- Design end-to-end ML systems
- Develop low latency online serving and offline batch processing
- Establish data governance pipelines
- Fine-tune and deploy foundation models
- Implement retrieval and ranking models
- Lead ML system architecture
- Mentor engineers
- Optimize latency throughput and scalability
- Transform unstructured text and visual data into product knowledge
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Computer Vision | Data Governance | Deep learning | Distributed Computing | Efficient Fine Tuning | Entity Resolution | Evaluation | Fine Tuning | Go | Image Text | Image Text Alignment | Java | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Multimodal Models | Natural Language | Natural Language Processing | OCR | Parameter efficient fine-tuning | Prompt engineering | PyTorch | Python | Ray | Spark | Taxonomy Classification
Education
N/A
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