Senior ML Engineer (GenAI)
Tasks
- Build scalable ML pipelines
- Collaborate with cross-functional teams
- Conduct code reviews
- Conduct experiments and evaluations
- Contribute to ML practice development
- Design and implement end-to-end ML solutions
- Develop reusable ML accelerators
- Mentor junior ML engineers
- Optimize model performance
- Participate in technical discussions
- Propose improvements to solutions
- Share knowledge through documentation and presentations
- Stay current with ML research
- Troubleshoot technical issues
- Write production-quality code
Perks/Benefits
- Continuous learning support
- Medical insurance
- Paid public holidays
- Paid sick leave
- Paid vacation
- Remote work
Skills/Tech-stack
AWS Lambda | AWS SageMaker | CI/CD | CNNs | Containerization | Data Manipulation | Data Pipelines | Deep learning | Docker | GCP ML | LLMs | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | NumPy | Pandas | Prompt engineering | PyTorch | Python | RAG Systems | RNNs | SQL | Spark | TensorFlow | Terraform | Transformers | Vector Databases | Weights and Biases
Education
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