Machine Learning Engineer III
Tasks
- Build model and agent logic in production
- Collaborate with software engineers and data scientists
- Create workflow orchestration systems
- Deploy and monitor ML systems
- Design core ML systems for AI agents
- Develop RAG pipelines
- Implement LLM powered agent frameworks
- Improve scalability and observability
- Integrate agents into platform systems
- Perform model evaluation and feedback loops
Perks/Benefits
Skills/Tech-stack
Agentic Architectures | Data Modeling | Deep learning | Distributed Training | Feature Engineering | LLM | Language Processing | Machine Learning | Model Evaluation | Model Hosting | Monitoring | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Workflow Orchestration
Education
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