Lead AI Engineer I – R01571482

Brillio; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Brillio in Bengaluru, India seeks an AI/ML engineer with 4–6 years of experience to design and deploy models that optimize digital analytics and improve customer journeys. You will work on scalable solutions for analytics-driven optimization across channels.

Leveraging Tableau, Optimizely, Adobe Analytics and Google Optimize, you will analyze data, run tests, and deliver measurable gains in conversion and engagement while collaborating with cross-functional teams.

Qualifications

• 4–6 years of AI/ML engineering experience.
• Hands-on experience in digital analytics optimization.
• Design and deploy ML models for marketing analytics.
• Proficiency in Python or R for model development.
• Familiarity with AB testing tools like Adobe Target or Google Optimize.
• Strong data visualization with Tableau and analytics platforms.
• Knowledge of Adobe Analytics for data collection and reporting.

Responsibilities

• Design and implement AI/ML models to optimize digital analytics and customer journeys.
• Develop, validate, and deploy algorithms for digital marketing analytics.
• Utilize Tableau, Adobe Analytics, and Optimizely to analyze data and recommend actions.
• Configure and manage A/B testing platforms such as Adobe Target and Google Optimize.
• Monitor, refine, and scale statistical models for digital optimization.
• Lead AI/ML project delivery aligned with organizational goals.
• Research and adopt emerging AI/digital analytics technologies.

Skills

Statistics

Python or R

Education

Bachelor’s degree in Computer Science/IT/Data Science

TensorFlow/PyTorch certification or AWS ML Specialty

Adobe Analytics/CGA Analytics certifications

Tools

Tableau

Optimizely

Adobe Target

Adobe Analytics

Google Optimize

AWS/Azure/GCP

Digital marketing analytics platforms

Job description

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