Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role emphasizes high-quality code, mostly in Python, but prioritizes general engineering skills over specific languages. Versatility across data engineering tools is key.
Experience is needed with data stores like ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j; pipeline tools like Airflow, DBT; processing tech like Spark, Kafka, Flink; infrastructure like Docker, Terraform, Kubernetes, Datadog; and AI/ML tools like MLflow, Feast, ONNX, Apache Beam.
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You'll join a mission-driven, fast-paced team of experts in law enforcement, data science, engineering, and financial intelligence. The MLOps Team is newly established, working with multidisciplinary teams of blockchain experts, data scientists, and software engineers in an innovative environment focused on AI and blockchain intelligence.
Blockchain intelligence for financial crime detection
TRM Labs focuses on blockchain intelligence to assist financial institutions, cryptocurrency businesses, and government agencies in identifying and investigating financial crimes and fraud related to cryptocurrencies. The company utilizes advanced data engineering, data science, and threat intelligence to provide tools and insights that help clients combat illicit activities in the crypto sector. TRM Labs serves a wide range of clients, including banks and regulatory bodies, and generates revenue through subscription-based services and customized solutions. Its goal is to enhance the security and integrity of the global financial system by offering comprehensive blockchain analytics and investigative capabilities.