ML Engineer

Beltic Corp
San Francisco, CA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Python (Programming Language) Tensorflow Standard Sql Software Engineering Graph Neural Networks Pytorch Large Language Models Agentic-AI Machine Learning Operations

Requirements

  • Years of production ML - building, evaluating, and deploying models, notjust research or notebooks
  • Strong Python and a modern ML framework (PyTorch or TensorFlow); solid SQL
  • Production ML systems end to end: feature pipelines, training, evaluation,and low-latency, real-time serving
  • Comfort with low-label and cold-start problems - anomaly detection,unsupervised methods, weak supervision, and building eval sets and labelsfrom scratch
  • Data analysis, statistics, and experiment design
  • Strong software engineering - you ship versioned, testable, reproduciblecode, not throwaway models, * Applied ML in fraud, risk, abuse, account integrity, or security
  • Graph ML / GNNs, sequence or behavioral modeling, or anomaly detection
  • LLM / NLP work, and familiarity with AI agents - tool use, functioncalling, MCP
  • Adversarial settings, where the threat evolves against the model
  • Explainable, auditable, reproducible ML, with real model versioning

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