AI Engineer
USD 91K-175K (estimate) Senior-level Full Time
Tasks
- Automate AI processes and infrastructure
- Build generative AI and LLM pipelines
- Collaborate with data scientists and product leads
- Deploy models to production
- Design and develop AI systems
- Develop retrieval-augmented generation pipelines
- Drive CI and testing practices
- Implement machine learning models
- Manage multimodal data for evaluation
- Optimize models for decision-making
Perks/Benefits
- Health benefits
- Incentive programs
- Professional development
- Remote work
- Retirement benefits
- Time off
- Travel as needed
- Tuition reimbursement
- Well-being programs
- Work-life flexibility
Skills/Tech-stack
AI Studio | AWS | Apache Spark | Azure | Azure AI | Azure AI Studio | Azure Data | Azure Data Factory | Cloud platform | Code review | Continuous integration | Data Factory | Deep learning | Generative AI | Google Cloud | Google Cloud Platform | Hadoop | Haystack | Integration Testing | LLM | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Neural Networks | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Unit Testing | Vector Databases | XGBoost
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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