Ad Platform Machine Learning Platform Teamis responsible for providing a machine learning platform in AWS, Databricks for the data engineering, data science, machine learning research teams to build upon. We cover a wide range of machine learning and AI tools and support these as well as the production environment. The individual we are looking for will provide leadership in all these areas.

Key Responsibilities

• Lead team planning and coordination within each sprint

• Coordinate with the other Ad Platform engineering and research teams

• Build and maintain machine learning platform (Tensorflow, Pytorch, XGboost, etc.) supporting ML/AI model development 

• Build and maintain Spark and Flink data pipelines supporting machine learning/AI application 

• Troubleshoot issues between teams with respect to project initiatives and technicaldependencies

• Mentor team members and participate in their growth as engineers.

• Guide technical solutions to ensure they align with business needs and timelines

Basic Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

• 2+ years engineering management experience

• 8+ years of software development experience with python, Go or Scala

• 4+ years of machine learning engineering experience

• 4+ years of big data development experience

• Demonstrable analytical/problem solving skills

• Great communication, collaboration skills and a strong teamwork ethic with bothtechnical and non-technical audiences

Preferred Qualification:

• Experience with Tensorflow, Pytorch, XGboost

• Experience managing Spark and/or Flink on Databricks or on Kubernetes/EKS

• Experience with GenAI and LLM

• Experience with AWS

• Experience managing Databricks environments on AWS

• Experience with Apache Airflow

• Ad Tech industry experience