Machine Learning Engineer

August 22

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Kargo

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Kargo creates memorable experiences for advertisers that go beyond the first impression to captivate consumer attention$1. .$1

Mobile Advertising

201 - 500

Description

• The Data Science team researches, develops, deploys and maintains ML models to deliver solutions integral to revenue goals. • Collaborate with teams to optimize auction dynamics, predict advertising outcomes, and recommend content. • The ML Engineer will design, develop, deploy, and maintain ML models.

Requirements

• BS/MS degree in Computer Science, Data Science, or a related field preferred. • In-depth knowledge of machine learning principles and best practices. • 3+ years of experience in a machine learning or data science role. • Strong background in machine learning, data engineering, and cloud technologies. • Experience in building end-to-end ML pipelines, from data ingestion to model deployment and monitoring. • Strong experience with AWS services (S3, EC2, Lambda, SageMaker, etc.) for machine learning and data engineering tasks. • Strong experience with Big Data platforms (AWS Stack, Snowflake, Databricks). • Proficiency in Spark for large-scale data processing. • Excellent command of Git and version control best practices. • Highly proficient in SQL and Python. Spark and Go skills are a plus. • Hands-on experience in automating the provisioning and management of cloud infrastructure. • A strategic thinker with a deep interest in advertising, media, analytics, and/or marketing. • AdTech & Digital advertising experience preferred. • Highly organized and detail-oriented, capable of juggling several tasks at once. • A strong communicator, with both technical and non-technical audiences. • Able to work independently and as part of a team.