Machine Learning Engineer - Agents
Tasks
- Add safety guardrails for agent systems
- Build and evaluate agentic workflows
- Build scalable MLOps pipelines
- Conduct A B testing for user experiences
- Design Multi-Agent Ecosystems
- Develop retrieval and ranking systems
- Handle cascading failures
- Implement orchestration techniques
- Optimize latency and cost for multi agent systems
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Agent systems | B testing | Big Data | Cloud Computing | Databases | Information Retrieval | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Serving | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | PyTorch | Python | Recommender Systems | Vector Search
Education
Regions
Countries
States
Cities
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