Machine Learning Engineer
Core
Design and implement data science approaches and real-time/batch decisioning solutions to translate business requirements into technical solutions.
Role type
Machine Learning Engineer
Builds
Real-time and batch decisioning solutions, data science pipelines, and integrated LLM architectures
Domain
Data Science / Machine Learning
Deliverable
production ML models
Required skills
Classification, regression, clustering, anomaly-detection algorithms, SQL, Hadoop, Spark, Python, Scala, Java, LLM architectures
Preferred skills
None stated
Technologies
Python, Scala, Java, SQL, Hadoop, Spark
Responsibilities
Engage with business teams to identify opportunities and translate requirements into technical solutions; Design data science approaches using established techniques or custom algorithms; Collaborate with data engineers and platform architects to implement decisioning solutions; Monitor production decision points and maintain operational and business metric health; Investigate adversarial trends and implement logic changes; Communicate analytical results to business partners and executives.
Seniority
Mid-level to Senior (implied by 'Design', 'Implement', 'Monitor', 'Investigate')
