Senior AI Engineer - Private Assets
Tasks
- Apply LLMs deep learning computer vision
- Automate model retraining and versioning
- Build MLOps for deployment monitoring continuous improvement
- Collaborate with product and domain teams
- Conduct code reviews and technical documentation
- Design AI architectures for financial data
- Develop NLP systems for document metrics
- Implement ML pipelines for multi-modal data
- Improve engineering productivity with AI agents
- Provide AI ML engineering mentorship
Perks/Benefits
- Collaborative workspaces
- Flexible working arrangements
- Global career mobility
- Learning and development opportunities
Skills/Tech-stack
A/B | A/B Testing | Apache Beam | Apache Flink | Apache Kafka | Apache Spark | Artificial Intelligence | Automated retraining | B testing | Computer Vision | Deep learning | Distributed Computing | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model versioning | Natural Language | Natural Language Processing | PyTorch | Ray | Series analysis | TensorFlow | Time Series | Time Series Analysis
Education
N/A
Regions
Countries
States
Cities
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