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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