Senior Data Engineer, Attribution Expansion (Xico)

Join to apply for the Senior MLOps Engineer role at TRM Labs. TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and general security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. Whether analyzing blockchain data, developing cutting-edge tools, or collaborating with global organizations, you'll have the opportunity to make a meaningful and lasting impact.

Impact and Responsibilities

• Build and enhance AI/ML model performance.
• Ensure data accuracy, consistency, and reliability, leading to better model training and inference.
• Build low-latency, high-throughput pipelines to enable real-time AI applications.
• Enable AI-powered insights for quick decision-making.
• Integrate and evaluate new AI technologies, accelerating innovation.
• Help optimize operational costs while adding value.
• Collaborate with data science, engineering, and business teams to shift focus on model building instead of data wrangling by embedding AI models into applications and platforms.

Qualifications

• 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.
• Comfortable working with noisy, dirty, and unstructured data to cleanse, scrape and convert it into structured data.
• 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.

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