Senior AI/ML Engineer

About This RoleAI processing…

Key Responsibilities

• 1
  Develop and deploy sequential deep learning models and traditional machine learning systems to power growth and marketing initiatives
• 2
  Build predictive models using large-scale financial, transactional, and behavioral datasets to improve personalization and member engagement
• 3
  Partner cross-functionally with Growth & Marketing, Product, and Engineering teams to drive strategic AI/ML initiatives
• 4
  Design and improve infrastructure for training, serving, and monitoring large-scale ML and deep learning systems in both batch and real-time environments
• 5
  Generate insights and recommendations that improve growth effectiveness and the overall member experience
• 6
  Contribute to experimentation frameworks, optimization strategies, and scalable ML platform capabilities
• 7
  Help identify technology gaps and opportunities where AI/ML solutions can create measurable business impact

Requirements

• Deep expertise in building sequential and deep learning models, especially outside of traditional NLP applications and within financial or behavioral data domains
• Strong experience across the end-to-end ML lifecycle, including training, experimentation, optimization, deployment, and monitoring
• Experience working with large-scale transactional, financial, or behavioral datasets to develop predictive models
• Hands-on experience with AWS and modern ML infrastructure tools such as SageMaker, Kafka, Airflow, Redis, Snowflake, and Spark
• Strong proficiency in Python, SQL, and distributed computing and model training frameworks such as PyTorch and PySpark for scalable ML development
• A strong MLOps mindset with experience deploying and maintaining production-grade ML systems
• The ability to operate independently, collaborate cross-functionally, and move quickly in ambiguous environments

Perks & Benefits