Sr. Machine Learning Engineer

Software Development Engineer

Strong background in software development, machine learning, and experience with time series databases such as Prometheus, Big Query, Splunk, Kafka, and Graphite. The ideal candidate will also have experience with Golang development and knowledge of time series models, anomaly detection, forecasting, and autoscaling.

Responsibilities:

• Design, develop and maintain software applications that utilize machine learning models to solve complex data problems.
• Collaborate with cross-functional teams to identify and implement solutions that improve data processing, analytics, and automation.
• Build and manage data pipelines, integrating data from multiple sources and ensuring data accuracy and completeness.
• Design and implement data models and schemas for time series databases such as Prometheus, BigQuery, Splunk, Kafka, and Graphite.
• Develop and deploy scalable, fault-tolerant distributed systems for data processing and analytics.
• Implement systems to support time series models, anomaly detection, forecasting, and autoscaling algorithms to enable proactive monitoring and alerting.
• Ensure the availability, reliability, and performance of data systems and applications.
• Stay up to date with industry trends and best practices in machine learning, data engineering, and software development.

Qualifications:

• 5+ years software development experience, preferably in Golang, with data structures/algorithms.
• Experience with software design and architecture.
• Experience testing, maintaining and/or launching software products.
• Experience with ML algorithms, tools, and end-to-end ML systems.