Machine Learning Engineer - Senior Consultant
Tasks
- Conduct technical discovery workshops
- Deploy and monitor machine learning models
- Design and build AI ML systems end to end
- Develop experimentation roadmap
- Develop production quality Python code modules
- Drive adoption of MLOps best practices
- Evaluate and champion new technologies and frameworks
- Lead technical delivery for client initiatives
- Leverage cloud native data and ML services
- Maintain experimentation pipelines
- Mentor junior engineers
- Monitor and maintain ML models in production
- Set up reproducible experimentation environment
Perks/Benefits
- 401k company match
- Certification support
- Dental insurance
- Health insurance
- Professional development
- Remote-first workplace
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
AWS Lambda | AWS SageMaker | Agentic Systems | Amazon ECR | Amazon EMR | Amazon S3 | Classification | Dask | Data Pipelines | Deep learning | Docker | Experimentation | Feature Engineering | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Python | Recommendation Systems | Regression | Retrieval-Augmented Generation | Spark
Education
Roles
AI | AI Engineer | AI Engineer Consultant | Consultant | Engineer | Learning Engineer | Machine Learning Engineer
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