Senior ML Engineer (GenAI)
Tasks
- Build scalable ML pipelines
- Collaborate with cross-functional teams
- Conduct code reviews
- Conduct model evaluation
- Contribute to ML practice development
- Design end-to-end ML solutions
- Develop reusable ML accelerators
- Mentor ML engineers
- Optimize model performance
- Participate in architectural decisions
- Propose improvements to solutions
- Share knowledge through documentation and presentations
- Stay current with ML research
- Troubleshoot technical challenges
- Write production-quality code
Perks/Benefits
- Continuous learning support
- Medical insurance budget
- Paid Holidays
- Paid sick leave
- Paid vacation
- Remote work
Skills/Tech-stack
AWS Lambda | AWS SageMaker | CI/CD | CNNs | CloudFormation | Container Orchestration | Docker | ETL Pipelines | Feature Engineering | GCP ML | GCP ML services | Hyperparameter Tuning | Language Models | Large Language Models | ML services | MLflow | Model Evaluation | Model Training | NumPy | Pandas | Prompt engineering | PyTorch | Python | RNNs | Reinforcement Learning | Retrieval-Augmented Generation | SQL | Spark | Supervised Learning | TensorFlow | Terraform | Transformers | Unsupervised Learning | Vector Databases | Weights and Biases
Education
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