Senior ML Engineer (GenAI, AWS)
Tasks
- Build scalable machine learning pipelines
- Collaborate with cross-functional teams
- Conduct experimentation and model evaluation
- Design and implement end-to-end machine learning solutions
- Develop reusable machine learning accelerators
- Document and share knowledge
- Mentor junior machine learning engineers
- Optimize model performance and reliability
- Participate in architectural decisions
- Perform code reviews
- Propose improvements to solutions and processes
- Stay current with machine learning research
- Troubleshoot complex technical issues
- Write production-quality code
Perks/Benefits
- Continuous learning support
- Fully remote
- Medical insurance
- Paid public holidays
- Paid sick leave
- Paid vacation
Skills/Tech-stack
AWS CloudFormation | AWS Lambda | AWS SageMaker | Apache Spark | CI/CD | Container Orchestration | Docker | ELT | ETL | Embedding Models | Feature Engineering | GCP | Hyperparameter Tuning | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Model Training | NumPy | Observability | Pandas | PyTorch | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | SQL | TensorFlow | Terraform | Transformers | Validation | Vector Databases | Vector Search | Weights and Biases
Education
N/A
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