Senior Machine Learning Engineering (Remote)
USD 108K-270K Senior-level Full Time
Tasks
- Build train and deploy production machine learning models
- Collaborate with engineering and data teams on product strategy
- Develop generative AI solutions for product portfolio
- Develop prompt engineering and LLM evaluation frameworks
- Drive MLOps processes and lifecycle maintenance
- Establish architecture and coding standards
- Fine-tune foundation models
- Implement retrieval augmented generation systems
- Lead design and development of machine learning applications
- Manage context window and token usage
- Mentor and train junior engineers
- Optimize vector databases and embedding models
- Research emerging machine learning tools techniques and algorithms
- Support multiple scrum teams with agile delivery
Perks/Benefits
Skills/Tech-stack
AWS | Agent Frameworks | Agile | Azure | Bias detection | CI/CD | Context window | Context window optimization | Continuous integration | Data Pipelines | DevOps | Docker | Efficient Fine Tuning | Embeddings | Fine Tuning | Google Cloud | Hallucination mitigation | Kanban | Language Models | Large Language Models | Linux | MLOps | Machine Learning | Mixture of Experts | Model Distillation | Model Evaluation | Model guardrails | NumPy | Pandas | Prompt engineering | PyTorch | Python | Quantization | Retrieval-Augmented Generation | SQL | SciPy | Scikit-learn | Scrum | TensorFlow | Testing | Token Management | Vector Databases | Vector similarity
Education
Regions
Countries
States
Cities
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