Senior/Staff Product Engineer (GenAI, AI/ML & Advanced Data Analytics)
Tasks
- Apply Python and SQL to generate analytics and visualizations
- Build agentic systems for code generation and knowledge retrieval
- Collaborate with cross functional teams to translate engineering problems
- Communicate findings and recommendations to stakeholders
- Deploy monitor and operationalize AI ML solutions
- Design GenAI systems for semiconductor workflows
- Develop scalable data pipelines for manufacturing datasets
- Engineer LLM workflows with prompting and RAG
- Evaluate and benchmark LLM workflow quality
- Implement anomaly detection and failure analysis models
- Ingest clean transform analyze large datasets
- Process data with outlier detection and missing data handling
- Train and deploy machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
BigQuery | Data Cleansing | Data Visualization | Data handling | Deep learning | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Matplotlib | Missing data | Missing data handling | Natural Language | Natural Language Processing | Outlier Detection | Pandas | Plotly | Prompt engineering | PySpark | PyTorch | Python | RAG | SQL | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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