Machine Learning Engineer (MLE-3)
Core
Building and deploying end-to-end machine learning models to translate business needs into scalable ML solutions.
Role type
Senior Machine Learning Engineer
Builds
Production ML models and end-to-end ML pipelines
Domain
Media analytics and audience engagement
Deliverable
production ML models
Required skills
Python, SQL, distributed computing (Spark), statistical analysis, LLMs/Generative AI, workflow orchestration (Airflow), ML platforms (MLflow), classification/regression/anomaly detection models, deep learning
Preferred skills
Data visualization, simulation problems on large datasets
Technologies
Spark, Airflow, MLflow
Responsibilities
Independently build, train, and deploy machine learning models; Design and maintain robust, end-to-end ML pipelines; Contribute to technical design discussions and system architecture; Collaborate with business and product teams to translate requirements into technical specifications; Write high-quality, production-ready code and participate in code reviews; Mentor interns or junior engineers
Seniority
Senior, hands-on IC with mentorship
