AI Engineer - Private Assets
Tasks
- Apply LLMs for AI use cases
- Apply computer vision for deep learning solutions
- Architect enterprise scale AI architectures
- Automate retraining pipelines
- Automate tasks using AI agents
- Build end-to-end machine learning pipelines
- Collaborate with product teams on scalable solutions
- Develop NLP systems for document extraction
- Implement MLOps for model deployment and monitoring
- Implement time-series analysis models
- Perform code reviews and design documentation
- Provide technical guidance and mentorship
Perks/Benefits
- Advanced technology
- Collaborative workspaces
- Flexible working arrangements
- Learning platforms access
Skills/Tech-stack
A/B | A/B Testing | Apache Beam | Apache Flink | Apache Spark | Automated retraining | B testing | Computer Vision | Deep learning | Kafka | LLMs | Language Processing | MLOps | Machine Learning | Model versioning | NLP | Natural Language | Natural Language Processing | PyTorch | Python | Ray | Series analysis | TensorFlow | Time Series | Time Series Analysis
Education
N/A
Roles
Regions
Countries
States
Cities
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