TRM Labs
201 - 500 employees
Founded 2018
₿ Crypto
📋 Compliance
🤝 B2B
Crypto • Compliance • B2B
TRM Labs is a blockchain intelligence company that provides transaction-monitoring, forensics, and compliance solutions for businesses and public-sector organizations dealing with cryptocurrencies. Their platform and products (examples: Compliance360, Investigation360, Seizure360, Supervision360, BlockInt API, MCP, wallet screening, Know-Your-Asset) help banks, crypto firms, regulators, law enforcement, and tax authorities detect, investigate, and block illicit crypto activity, support seizures, and meet AML/CTF and supervision requirements. TRM also offers training and certification (TRM Academy) and professional services such as incident response and capacity development.
Staff MLOps Engineer, LLMOps
Job not on LinkedIn
🔥 10 minutes ago
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TRM Labs
201 - 500 employees
Founded 2018
₿ Crypto
📋 Compliance
🤝 B2B
Crypto • Compliance • B2B
TRM Labs is a blockchain intelligence company that provides transaction-monitoring, forensics, and compliance solutions for businesses and public-sector organizations dealing with cryptocurrencies. Their platform and products (examples: Compliance360, Investigation360, Seizure360, Supervision360, BlockInt API, MCP, wallet screening, Know-Your-Asset) help banks, crypto firms, regulators, law enforcement, and tax authorities detect, investigate, and block illicit crypto activity, support seizures, and meet AML/CTF and supervision requirements. TRM also offers training and certification (TRM Academy) and professional services such as incident response and capacity development.
📋 Description
• Build reusable CI/CD workflows for model training, evaluation, and deployment • Automate model versioning, approval workflows, and compliance checks across environments • Partner with engineering and data science to embed AI models into real-time applications • Drive AI reliability and governance, enabling security and uptime
🎯 Requirements
• Strong background in scalable infrastructure, including containerization and orchestration (e.g. Docker, Kubernetes) • Experience with infrastructure-as-code and deployment (e.g. Terraform, CI/CD pipelines) • Proficiency in ML Ops best practices, including model versioning and automated evaluation • Experience with building and deploying LLMs and agentic workflows in production • Demonstrate strong ownership and pragmatism
🏖️ Benefits
• Equity plan participation • Wellness programs and time away from work
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