Senior MLOps Engineer

February 14

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TRM Labs

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Blockchain • Cybersecurity • Finance

TRM Labs is a company that delivers blockchain intelligence to detect crypto-facilitated crime and ensure compliance and safety worldwide. Their services include forensics, tactical transaction monitoring, wallet screening, and know-your-entity solutions. TRM Labs supports government agencies, financial institutions, and crypto businesses globally by providing blockchain investigations and risk management solutions to combat fraud and financial crime. They are trusted by leading organizations to help prove crypto cases in court and build safer financial systems.

51 - 200 employees

🔒 Cybersecurity

💸 Finance

💰 $70M Series B on 2022-11

📋 Description

• TRM Labs is a blockchain intelligence company dedicated to fighting crime and creating a safer world for billions of people. • By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to safeguard communities from illicit activity and global security threats. • At TRM Labs, you’ll be part of a mission-driven, fast-paced environment where your work directly contributes to building a safer future. • Our team combines expertise in law enforcement, data science, engineering, and financial intelligence to address complex challenges. • Whether you're analyzing blockchain data, developing cutting-edge tools, or collaborating with global organizations, every day brings the opportunity to make a meaningful and lasting impact. • The MLOps Team has been established from the ground up, bringing together engineers dedicated to enabling data-driven AI and machine learning applications. • This role is ideal for someone passionate about innovation and eager to contribute to an emerging field, giving TRM a competitive edge in its next phase of innovation and growth.

🎯 Requirements

• Write high-quality code. We mostly work in Python. However, languages can be learned: we care much more about your general engineering skill than knowledge of a particular language or framework. • Versatility. Experience across the entire spectrum of data engineering, including: • Data stores (e.g., ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j) • Data pipeline and workflow orchestration tools (e.g., Airflow, DBT, Luigi, Azkaban, Storm) • Data processing technologies and streaming workflows (e.g., Spark, Kafka, Flink) • Deployment and monitoring infrastructure in public cloud platforms (e.g., Docker, Terraform, Kubernetes, Datadog) • Loading, querying and transforming large data sets • AI and ML Integration tools like MLflow, Feast, ONNX, Apache Beam • You're comfortable working with noisy, dirty, and unstructured data to cleanse, scrape and convert it into structured data • A high degree of initiative and ownership, combined with the ability to navigate ambiguity and adapt quickly to change. • Exceptional ability to structure problems and identify the most critical issues to prioritize. • Ability to communicate complex ideas effectively to both technical and non-technical audiences, verbally and in writing. • Experience working collaboratively in a cross-functional environment with a diverse group of people at all levels in an organization • Passion for building a safer financial system for billions of people. • Interest in virtual currencies, applications, and their use in financial networks and blockchain analysis is a plus.