Senior Machine Learning Engineering (Remote)
Durham, North Carolina, United States of America
R
USD 108K-270K Senior-level Full Time
Tasks
- Build train and deploy production machine learning models
- Collaborate with product and engineering teams
- Develop retrieval-augmented generation systems
- Drive MLOps processes
- Establish architecture and coding standards
- Implement fine tuning of foundation models
- Lead design and development of machine learning applications
- Maintain production data products
- Manage vector databases and embedding models
- Mentor and train junior team members
- Optimize context window and token usage
- Optimize generative AI applications for multimodal use cases
- Perform prompt engineering and LLM evaluation
- Research emerging tools techniques and algorithms
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Azure | Bias detection | CI/CD | Cloud platform | Docker | Embeddings | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Hallucination mitigation | Kanban | LLM Evaluation | Linux | MLOps | Machine Learning | Model Distillation | Model Optimization | Model Quantization | Model guardrails | Multimodal AI | NumPy | Pandas | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SQL | SciPy | Scikit-learn | Scrum | TensorFlow | Token Management | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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