Machine Learning Lead Engineer
USD 134K-224K Senior-level Full Time
Tasks
- Accelerate ML development with AI tools
- Analyze complex datasets
- Build ML inference pipelines
- Build ML training pipelines
- Conduct ML research for product features
- Create automated data pipelines
- Design build and maintain ML models
- Detect bias in ML systems
- Develop AI governance practices
- Develop agentic workflows
- Ensure responsible model deployment
- Evaluate emerging ML technologies
- Improve model interpretability
- Lead machine learning initiatives
- Mentor teams in AI adoption
- Monitor deployed models
- Optimize model performance for production
- Prototype new ML solutions
- Publish technical research
- Translate model insights into business value
Perks/Benefits
- Bereavement leave
- Hybrid work option
- Jury duty leave
- Military Leave
- Paid Holidays
- Paid vacation
- Paid wellness time
- Parental leave
- Pre employment drug test
- Remote work flexibility
- Time off to vote
- Volunteer time off
Skills/Tech-stack
AI Governance | AWS | AWS Lambda | Agentic Workflows | Amazon Bedrock | Amazon SageMaker | Bias detection | Big Data | Causal Inference | Causal Machine Learning | Claude | Computer Vision | Data Processing | Data Processing Pipelines | Deep learning | Feature Engineering | GPT-4 | Generative AI | GitHub Copilot | Hyperparameter Optimization | Jira | LIME | Langchain | Language Processing | Machine Learning | Machine learning model deployment | Model Deployment | Model Interpretability | Model Monitoring | Multimodal AI | Natural Language | Natural Language Processing | Optimization | Predictive Modeling | Processing pipelines | REST APIs | Rally | Responsible AI | SHAP
Education
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