Staff Machine Learning Engineer – Generative AI (Remote)
GEORGIA - VIRTUAL - GA01, United States
R
USD 120K Senior-level Full Time
Tasks
- Build RAG pipelines
- Build generative AI applications
- Create documentation and enablement materials
- Create logging dashboards and alerts
- Design ML infrastructure network database and security architectures
- Develop monitoring and support tools
- Develop scalable AI services
- Ensure secure reliable scalable machine learning solutions
- Evaluate AI systems in production
- Implement prompt engineering and optimization
- Integrate large language models
- Monitor AI performance and quality
- Monitor service level objectives
- Optimize machine learning model deployment
- Provide production application support
- Research and evaluate AI platforms and products
- Research business trends and behavioral data
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AI Search | Autoencoders | Automated Workflows | B testing | Bias Mitigation | BigQuery | BigQueryML | CI/CD | CUDA | CUDA/cuDNN | CUDNN | Cloud platform | Convolutional Neural Networks | Data Engineering | Data mesh | Disaster Recovery | Embeddings | GPU Acceleration | Gensim | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Graph Databases | High Availability | Ingestion pipelines | Jupyter Notebooks | Knowledge Ingestion Pipelines | Knowledge ingestion | LLM APIs | Language Models | Large Language Models | Model Evaluation | Model Optimization | Monitoring | NLP | Neural Networks | Pandas | Performance optimization | Production ML | Prompt Optimization | Prompt engineering | Prompt evaluation | PyTorch | Python | RAG Pipelines | REST | REST APIs | Retrieval-Augmented Generation | SQL | Safety Guardrails | SciPy | Scikit-learn | Security | TensorFlow | Vector Databases | Vertex AI | Vertex AI Search
Education
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