Machine Learning Lead Engineer
USD 134K-224K Senior-level Full Time
Tasks
- Analyze complex data for customer use cases
- Collaborate cross functionally to translate insights into business value
- Design agentic workflows for autonomous training and data pipelines
- Design build and maintain machine learning models and pipelines
- Develop AI powered solutions for business needs
- Establish AI governance for bias detection interpretability and compliance
- Identify evaluate and prototype emerging machine learning technologies
- Implement responsible AI deployment practices
- Integrate AI enhanced models into production systems
- Lead AI transformation tool evaluation and adoption planning
- Mentor teams in AI adoption and best practices
- Optimize model performance scalability and reliability
- Research implement and test machine learning methods
- Spearhead machine learning initiatives
- Train deploy and monitor machine learning models in production
Perks/Benefits
- Bereavement leave
- Hybrid work option
- Jury duty leave
- Military Leave
- Paid Holidays
- Paid vacation
- Paid wellness time
- Parental leave
- Remote work part time
- Time off to vote
- Volunteer time off
Skills/Tech-stack
AI Governance | AWS | AWS Lambda | AWS Strands | Agentic Workflows | Amazon S3 | Bias detection | Causal Inference | Causal Machine Learning | Computer Vision | Data Processing | Data Processing Pipelines | Deep learning | Feature Engineering | GPT-4 | Generative AI | GitHub Copilot | Hyperparameter Optimization | Inference | Jira | LIME | Langchain | Language Processing | Machine Learning | Model Deployment | Model Interpretability | Model Monitoring | Model Training | Multimodal AI | Natural Language | Natural Language Processing | Optimization | Predictive Modeling | Processing pipelines | Rally | Responsible AI | SHAP
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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