The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As a Senior Software Engineer on the Data Platform team, you will collaborate and partner with Data Scientists and Machine Learning teams to accelerate innovation by enabling rapid deployment and iteration of machine learning models, thus fostering a more agile and responsive environment for developing and refining cutting-edge technologies.
The impact you will have here:
- Streamline and automate the TRM machine learning life cycle, focusing on deploying, monitoring, and maintaining ML models to ensure their efficient and reliable performance in production environments.
- Reduce the costs associated with experimentation, training, and testing of machine learning models by implementing efficient methodologies and tools that streamline these processes and optimize resource allocation.
- Play a key role in enhancing the freshness, correctness, and completeness of the Feature Store, and reduce the time to add new features, ensuring that machine learning models are powered by the most accurate, up-to-date, and comprehensive data available.
What we’re looking for:
- Bachelor's degree (or equivalent) in Computer Science or a related field;
- A proven track record, with 5+ years of hands-on experience in building ML infrastructure, guiding projects from initial ideation through to successful production deployment.
- Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL;
- Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink;
- Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog;
- Proven ability in loading, querying, and transforming extensive datasets
Learn more on TRM's career page: https://www.trmlabs.com/careers-list?gh_jid=5051368004
TRM Labs
