Data Science and Tech Lead AMEA
Tasks
- Automate model retraining
- Build CI/CD pipelines
- Build MVPs
- Build RAG systems
- Build scalable AI architectures
- Conduct code reviews
- Deploy models to production
- Design data pipelines
- Develop reusable component libraries
- Drive AI adoption with stakeholders
- Establish success metrics
- Implement MLOps best practices
- Implement model versioning
- Integrate LLMs
- Integrate generative AI
- Lead AI transformation
- Manage end to end AI ML delivery
- Monitor model performance
- Optimize model performance
- Own ML lifecycle
- Perform feature engineering
- Run proofs-of-concept
- Train machine learning models
- Translate business requirements into AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Amazon Bedrock | Amazon SageMaker | CI Pipelines | CI/CD | Cloud Architecture | Continuous Deployment | Deep learning | Design Thinking | Feature Engineering | Generative AI | GitHub | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model versioning | Python | RAG | Retraining automation
Education
N/A
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