Senior ML Engineer (GenAI, AWS)
Tasks
- Build scalable ML pipelines
- Collaborate with teams
- Conduct code reviews
- Conduct experimentation and evaluation
- Contribute to ML practice development
- Design end-to-end ML solutions
- Develop reusable ML accelerators
- Mentor junior ML engineers
- Optimize model performance
- Participate in architectural decisions
- Propose process improvements
- Share knowledge
- Stay current with ML research
- Troubleshoot technical challenges
- Write production-quality code
Perks/Benefits
- AWS certification sponsorship
- Learning Support
- Medical insurance
- Paid sick leave
- Paid vacation
- Public holidays
- Remote work
Skills/Tech-stack
AWS Lambda | AWS SageMaker | CI/CD | CNN | Deep learning | Docker | ETL | GCP | Kubernetes | LLMs | MLflow | Machine Learning | NumPy | Pandas | Prompt engineering | PyTorch | Python | RNN | Retrieval-Augmented Generation | SQL | Spark | TensorFlow | Terraform | Transformers | Vector Search | Weights and Biases
Education
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