Principal Data Scientist
Austin, TX, United States
USD 140K-180K (estimate) Senior-level Full Time
Tasks
- Architect supervised and unsupervised machine learning solutions
- Build data ingestion feature generation model training evaluation deployment and monitoring pipelines
- Build large language model solutions including retrieval augmented generation and fine tuning
- Define scalable reliable maintainable architectures
- Design and build end to end machine learning systems
- Develop natural language processing solutions for unstructured data
- Develop real time and low latency inference systems
- Establish data science engineering best practices
- Lead advanced machine learning initiatives
- Support MLOps practices for production deployments
- Translate business objectives into AI and data science roadmaps
Perks/Benefits
Skills/Tech-stack
CI/CD | Causal Inference | Data Pipelines | Feature Engineering | Fine Tuning | Forecasting | Language Models | Language Processing | Large Language Models | Low Latency | MLOps | Machine Learning | Model Evaluation | Model Training | Natural Language | Natural Language Processing | Production Monitoring | Python | Real Time | Real-time Inference | Recommender Systems | Retrieval-Augmented Generation | SQL | Supervised Learning | Unsupervised Learning | Version control
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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