AI ML Tech Lead
Tasks
- Architect AI ML pipelines end to end
- Collaborate on data governance security and privacy compliance
- Ensure Responsible AI fairness transparency explainability
- Establish engineering standards for code experiment tracking and version control
- Evaluate fine tune and deploy LLM solutions
- Implement retrieval-augmented generation workflows
- Integrate model observability drift detection and monitoring
- Lead AI ML and Generative AI system design
- Mentor ML engineers and data scientists
- Stay current with AI LLM and applied ML trends
Perks/Benefits
- Comprehensive benefits packages
- Corporate bonus program
- Flexible work options
- Life leave days
- Professional development days
- Retirement savings options
- Vacation time
- Volunteer days
Skills/Tech-stack
AWS Lambda | AWS SageMaker | AWS Step Functions | Amazon ECS | Amazon EventBridge | Amazon S3 | CI/CD | Deep learning | Drift Detection | Embeddings | Fine Tuning | Generative AI | Language Models | Large Language Models | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Observability | Pandas | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | Step Functions | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Engineer | Lead | Learning Engineer | Machine Learning Engineer | Technical Lead
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