Lead AI Engineer I - R01571481
Brillio
- Location
- Onsite (Bangalore, Karnataka)
- Employment
- Full-time
- Level
- Mid Level
Posted 1 week ago
About the Role
Brillio is an Enterprise AI Accelerator helping Fortune 1000 companies scale AI impact through its ADAM platform. The Lead AI Engineer role focuses on designing advanced machine learning models to optimize digital analytics and enhance customer journey processes.
Skills
Tableau
Adobe Analytics
Optimizely
Adobe Target
Google Optimize
Python
R
Machine Learning
Statistical Modeling
Digital Marketing Analytics
Data Visualization
Predictive Modeling
TensorFlow
PyTorch
Data Engineering
CRM Integration
Full job details
Lead AI Engineer I
\n- 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
- 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
- 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
- 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
Experience Range: 4 to 6 years of experience in AI/ML engineering, including hands-on expertise in digital analytics optimization Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
Additional Information: Immediate joiner required