Senior Engineer, AI & Machine Learning
Tasks
- Build end-to-end data pipelines
- Collaborate with cross-functional teams
- Collect process analyze large scale datasets
- Conduct research on open source tools
- Define ML requirements
- Design ML algorithms
- Develop and deploy ML models in production
- Develop end to end ML models and workflows
- Develop team processes and best practices
- Drive ML research and experimentation
- Implement ML workflows in Palantir Foundry
- Implement RAG workflows
- Mentor junior engineers
- Optimize ML model performance
- Participate in agile development
- Stay current with AI/ML trends
- Use Agent Studio for ML workflows
- Use copilots with grounded data sources
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Studio | Agile | Airflow | Apache Kafka | C++ | Docker | Git | Hadoop | Java | Keras | Kubeflow | Kubernetes | MLOps | MLflow | Palantir AIP | Palantir Foundry | PyTorch | Python | RAG | Scikit-learn | Spark | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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