Lead AI/ML Engineer - Remote
USD 145K-249K Senior-level Full Time
Tasks
- Automate model deployment
- Build MLOps workflows
- Containerize ML deployments
- Create ML pipelines
- Deploy machine learning models
- Design scalable production AI solutions
- Develop machine learning model architectures
- Lead end-to-end ML lifecycle
- Mentor engineering team members
- Monitor real-time model performance
- Perform code reviews
- Provide architectural guidance
- Translate healthcare requirements into AI services
- Validate machine learning models
Perks/Benefits
- 401k contribution
- Career development opportunities
- Comprehensive benefits package
- Equity stock purchase
- Incentive and recognition programs
- Remote work flexibility
Skills/Tech-stack
AWS | Apache Spark | Azure | CI/CD | Cloud platform | Containerization | Deep learning | Docker | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | ML Pipeline | MLOps | Machine Learning | NoSQL | PyTorch | Python | Real Time | Real-time monitoring | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI/ML Engineer | Engineer | Lead | Lead AI/ML Engineer | ML Engineer
Regions
Countries
States
Cities
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