Kargo creates breakthrough cross-screen ad experiences for the world’s leading brands and publishers. Every day, our 600+ employees bring the power of their creativity and diversity to radically raise the bar on what mobile, CTV, AI, social, and eCommerce can do to wow consumers and build businesses. Now 20 years strong, Kargo has offices in NYC, Chicago, Austin, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Humble brag: In 2024, Kargo was recognized as a Best Place to Work by Ad Age and Built In.

QUALIFICATIONS :

• BS/MS in Computer Science, Statistics, or a related field preferred.
• In-depth understanding of machine learning principles and best practices.
• 3+ years of experience in building and deploying machine learning models in production environments.
• Experience building both offline and online training and inference pipelines for real-time systems.
• Strong experience with AWS (S3, EC2, Lambda, SageMaker), Snowflake, and other cloud-based tools for machine learning and data engineering.
• Familiarity with the MLOps stack, including Databricks, Feature Stores, Kubernetes, Kubeflow, MLflow etc
• Expertise in Spark for large-scale data processing and distributed workflows.
• Proficient in Git and version control best practices.
• Highly skilled in SQL and Python; experience with Go is a plus.
• Hands-on experience in automating the provisioning and management of cloud infrastructure.
• Strong interest in advertising, media, analytics, and marketing, with AdTech or digital advertising experience preferred.
• Highly organized, detail-oriented, and able to manage multiple tasks effectively.
• Excellent communication skills, able to convey complex technical concepts to both technical and non-technical audiences.
• Able to work independently and collaboratively within a team environment.

Please refer the Job description for details