Senior ML Engineer (GenAI, AWS)
Tasks
- Build scalable machine learning pipelines and infrastructure
- Collaborate with cross-functional teams
- Conduct code reviews and provide feedback
- Conduct machine learning experimentation and evaluation
- Design and implement end-to-end machine learning solutions
- Develop reusable machine learning accelerators
- Document and present machine learning solutions
- Mentor junior and mid level machine learning engineers
- Optimize model performance efficiency and reliability
- Participate in technical discussions and architectural decisions
- Propose improvements to existing solutions and processes
- Stay current with machine learning research and emerging technologies
- Troubleshoot and resolve complex technical challenges
- Write clean maintainable production quality code
Perks/Benefits
- AWS certification sponsorship
- Continuous learning support
- Fully remote
- Medical insurance coverage
- Paid public holidays
- Paid sick leave
- Paid vacation
Skills/Tech-stack
AWS Lambda | AWS SageMaker | Amazon ECR | Amazon EMR | Amazon S3 | Big Data | CI/CD | CNN | CloudFormation | Continuous Deployment | Continuous integration | Data Validation | Docker | ELT | ETL | Feature Engineering | Hyperparameter Tuning | MLOps | MLflow | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Training | NumPy | Observability | Pandas | Prompt engineering | PyTorch | Python | RNN | Reinforcement Learning | Retrieval-Augmented Generation | SQL | Spark | Supervised Learning | TensorFlow | Terraform | Transformers | Unsupervised Learning | Vector Databases | Weights and Biases
Education
N/A
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