Senior Machine Learning Engineer

About

Become a Senior Machine Learning Engineer and transform AI capabilities in marketing. Develop and maintain scalable systems that reliably support data-driven marketing initiatives globally.

As part of your responsibilities, you'll lead the full lifecycle of machine learning model production, from architecture to deployment. Joining a collaborative team, you'll ensure seamless integration of predictive models and effective data pipeline engineering, contributing significantly to forecasting accuracy. Your technical expertise will play a key role in implementing CI / CD and drift detection processes.

Utilize your machine learning skills to drive innovation and enhance marketing performance through effective systems and processes.

Key Responsibilities

• Build robust visual AI integration layers
• Convert concepts into resilient production microservices
• Create high-throughput data pipelines for processing
• Collaborate on improving forecasting efficiency
• Implement CI / CD and model reliability processes

Requirements

• Proven leadership in ML systems development
• Familiarity with hyperscaler platforms like AWS or Azure
• Competence in frameworks such as TensorFlow
• Strong skills in Python and PySpark required
• BS / MS in Computer Science or equivalent