MLOps Intern (Agent Engineer)
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
MLOps Intern (Agent Engineer)
Own ML agent lifecycle (training registry serving and evals) in a multi-agent system.
About the role
Own the lifecycle of ML agents within our multi-agent architecture from training and evaluation to model storage versioning and serving. Youll make our agents reproducible observable and continuously improving.
What youll do
- Design training/evaluation pipelines; set up experiment tracking model registry and artifact storage.
- Build reliable online/offline inference services feature pipelines and A/B or canary rollouts.
- Integrate ML agents into an orchestration layer (task routing memory tools safety/guardrails).
- Establish data contracts datasets and evaluation harnesses (unit tests for models regression checks).
- Implement monitoring for drift latency cost and quality; drive iterative improvements.
What youll bring
- Strong software engineering ML foundation (Python required; bonus for Go/TS).
- Experience with MLOps stacks (e.g. MLflow/Weights & Biases Ray Kubeflow Vertex AI/AWS Bedrock/Azure ML).
- Familiar with vector stores embeddings retrieval and tool-use for agents; prompt/program synthesis.
- Comfortable with cloud infra containers and CI/CD for ML.
Nice to have
- Graph data/knowledge representation; reinforcement/online learning; evaluation frameworks for LLM agents.
- Familiarity with meta-heuristics and heuristics algorithm design.
Company Industry
IT Services and IT Consulting
Key Skills
- Campaigns
- Abinitio
- AutoCAD 3D
- Hardware & Networking
- Customer Support
- Arabic
