Machine Learning Engineer
Tasks
- Build and optimize backend services for ML features
- Build data pipelines
- Contribute to agentic systems and multi agent orchestration
- Design machine learning systems
- Develop evaluate and deploy machine learning models
- Improve efficiency accuracy and scalability
- Integrate ML solutions into production workflows
- Mentor junior engineers
- Operationalize deployed ML models
- Perform ML model evaluation and monitoring
- Stay current with ML and generative AI research
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Code review | Data Pipelines | Deep learning | Distributed Systems | Experiment tracking | GCP | Generative AI | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Observability | Prompt Optimization | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | System design | Testing | Version control
Education
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