DepartmentAI & Data Engineering, AI & Data Engineering : Data Science
Company size5,001–10,000 people
PostedSep 22, 2026 · 2w ago
Verified live14h ago
At a glanceSummarised by Seekless from the posting.
Must have12
4 to 6 years of experience in AI/ML engineering, including hands-on expertise in digital analytics optimization
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
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
Nice to have5
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
Skills
Tableau
Adobe Analytics
Optimizely
Adobe Target
Google Optimize
Python
R
TensorFlow
PyTorch
AWS
Azure
GCP
Lead AI Engineer I
Job requirements
Experience Range: 4 to 6 years of experience in AI/ML engineering, including hands-on expertise in digital analytics optimization Key Responsibilities:
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