AI Engineer
USD 110K-120K (estimate) Senior-level Full Time
Tasks
- Apply generative AI and LLMs
- Build and improve ML AI models
- Build evaluation pipelines
- Design ML/AI models
- Integrate models with production workflows
- Own ML lifecycle end-to-end
- Partner with product engineering and analytics
- Perform feature engineering
- Preprocess data
- Share technical learnings and standardize practices
- Train validate and deploy models to production
- Translate model behavior into stakeholder insights
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | BigQuery | Classification | Cloud Storage | Cloud platform | Continuous Deployment | Data Analysis | Experiment design | Experiment tracking | GenAI | Google Cloud | Google Cloud Platform | Google Cloud Storage | Image Recognition | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Interpretability | Model versioning | Natural Language | Natural Language Processing | PyTorch | Recommendation Systems | Regression | Scikit-learn | Segmentation | Statistics | TensorFlow | Vertex AI
Education
Roles
Regions
Countries
States
Cities
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