Applied AI Engineer
USD 85K-100K Senior-level Full Time
Tasks
- Analyze operational data
- Build evaluation frameworks
- Build machine learning models
- Create proof of concept end to end
- Define success metrics
- Deploy generative AI and LLM workflows
- Design applied AI solutions
- Detect model drift and regression
- Develop NLP applications
- Drive AI adoption and change management
- Engineer retrieval strategies
- Ensure reliability and observability
- Integrate solutions into operational systems
- Perform feature engineering
- Pilot AI tools with business teams
- Practice responsible AI for bias privacy and hallucinations
- Prepare and clean datasets
- Run offline and online evaluations
- Support model deployment iteration
Perks/Benefits
- Dental insurance
- Disability insurance
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Retirement savings plan
- Unpaid time off
- Vision insurance
Skills/Tech-stack
Anomaly Detection | CI/CD | Classification | Code review | Data Wrangling | Databricks | Feature Engineering | Forecasting | Generative AI | LLM API | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model Evaluation | Model Registry | Modular Design | Monitoring | Natural Language | Natural Language Processing | Observability | Python | Retrieval-Augmented Generation | SQL | Series analysis | Testing | Time Series | Time Series Analysis | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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