Machine Learning Engineer
Tasks
- Build and manage data pipelines
- Contribute to agentic systems and orchestration frameworks
- Design build and optimize backend services for ML features
- Develop evaluate and deploy ML models
- Evaluate and deploy GenAI systems
- Improve efficiency accuracy and scalability
- Integrate ML solutions into production workflows
- Mentor junior engineers
- Monitor model performance and operationalize models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Systems | Azure | CI/CD | Clean architecture | Data Pipelines | Deep learning | Distributed Systems | Experiment tracking | GCP | Generative AI | Lifecycle Management | MLOps | Machine Learning | Model Evaluation | Model Lifecycle | Model Lifecycle Management | NLP | Observability | Orchestration | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | System design | Testing | Version control
Education
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