The Lead AI Engineer will design and deploy advanced machine learning models to optimize digital analytics and improve conversion rates. They will also build and manage A/B testing pipelines using tools like Adobe Target and Google Optimize to deliver actionable insights.
Experience Range: 4 to 6 years of experience in AI/ML engineering, including hands-on expertise in digital analytics optimization Key Responsibilities:
Design and implement advanced AI and machine learning models to optimize digital analytics and enhance customer journey processes, achieving measurable improvements in conversion rates and user engagement
Develop, validate, and deploy algorithms for digital marketing analytics, ensuring robust performance and actionable business insights
Utilize platforms such as Tableau, Adobe Analytics, and Optimizely to analyze and visualize digital data, delivering data-driven recommendations to stakeholders
Configure and manage A/B testing platforms including Adobe Target and Google Optimize to support experimentation and drive data-driven decision-making
Monitor, refine, and scale statistical models to maintain accuracy and performance within digital optimization initiatives
Lead AI/ML project delivery, ensuring alignment with organizational goals and timely completion
Research and adopt emerging technologies in AI, machine learning, and digital analytics to continuously improve optimization strategies
Required Skills:
Proficiency in Tableau for data visualization and analytics
Advanced knowledge of statistics and statistical modeling
Hands-on experience with Optimizely for experimentation and personalization
Experience with Adobe Target for A/B testing and personalization
Technical expertise in digital marketing analytics platforms
Advanced skills in Adobe Analytics for data collection and reporting
Experience with Google Optimize for digital experimentation
Programming skills in Python or R for machine learning model development
Preferred Skills:
Experience with machine learning frameworks such as TensorFlow or PyTorch
Knowledge of cloud-based analytics platforms (AWS, Azure, GCP)
Familiarity with advanced data engineering techniques for large-scale analytics
Expertise in predictive modeling for digital marketing optimization
Background in integrating AI solutions with CRM or marketing automation tools
Desired Qualifications:
Bachelor's degree in Computer Science, Information Technology, Data Science, or a closely related discipline
Certification in AI/ML technologies such as TensorFlow Developer Certificate or AWS Certified Machine Learning Specialty
Certification in digital analytics platforms such as Adobe Analytics Expert or Google Analytics Individual Qualification
