Senior Machine Learning Engineer
Tasks
- Build MLops pipelines
- Build agentic workflows
- Deploy production machine learning solutions
- Design generative AI systems
- Develop FastAPI services
- Fine-tune neural networks
- Implement CI/CD for ML systems
- Implement RAG architectures
- Lead ML projects
- Mentor engineers with code reviews
- Monitor model performance and SLAs
- Optimize reliability and cost effectiveness
- Orchestrate ML workflows with Airflow
Perks/Benefits
Skills/Tech-stack
AI Search | AWS | AWS Bedrock | Agentic Workflows | Airflow | Amazon SageMaker | Automated testing | Azure | Azure AI | Azure AI Search | CI/CD | Deep learning | Docker | FastAPI | Fine Tuning | Generative AI | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | PyTorch | Python | Retrieval-Augmented Generation
Education
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