Lead AI Engineer I - R01571481

Brillio 2

Bangalore +1 more

On-site

Who this role is best for

A natural match if you have hands-on AI/ML experience in digital analytics optimization and are based in Bangalore.

Best fit for

Candidates with 4–6 years of AI/ML experience in digital analytics and a track record of leading optimization projects
— “4 to 6 years of experience in AI/ML engineering, including hands-on expertise in digital analytics optimization”
Professionals skilled in deploying AI models for customer journey enhancement and conversion rate improvements
— “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”
Individuals with strong proficiency in Adobe Analytics, Tableau, and A/B testing platforms like Adobe Target and Google Optimize
— “Utilize platforms such as Tableau, Adobe Analytics, and Optimizely to analyze and visualize digital data, delivering data-driven recommendations to stakeholders”

Things to consider

Immediate availability is required, which may limit options for those needing transition time
— “Immediate joiner required”
The role demands leadership in AI/ML project delivery, not just technical execution
— “Lead AI/ML project delivery, ensuring alignment with organizational goals and timely completion”

How to stand out

Highlight measurable improvements in conversion rates or user engagement from past AI/ML projects
— “achieving measurable improvements in conversion rates and user engagement”
Emphasize experience with Adobe Target and Google Optimize in your A/B testing and personalization capabilities
— “Configure and manage A/B testing platforms including Adobe Target and Google Optimize”
Demonstrate your skill in deploying algorithms for digital marketing analytics with business impact
— “Develop, validate, and deploy algorithms for digital marketing analytics, ensuring robust performance and actionable business insights”
Include experience with predictive modeling for digital marketing optimization in your resume or interview narrative
— “Expertise in predictive modeling for digital marketing optimization”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

design and implement advanced AI and machine learning models to optimize digital analytics and enhance customer journey processes

Typical background

4 to 6 years of experience in AI/ML engineering

Skills & requirements

Required

Proficiency In Tableau For Data Visualization And AnalyticsAdvanced Knowledge Of Statistics And Statistical ModelingHands-on Experience With Optimizely For Experimentation And PersonalizationExperience With Adobe Target For A/B Testing And PersonalizationTechnical Expertise In Digital Marketing Analytics PlatformsAdvanced Skills In Adobe Analytics For Data Collection And ReportingExperience With Google Optimize For Digital ExperimentationProgramming Skills In Python Or R For Machine Learning Model Development

Preferred

Experience With Machine Learning Frameworks Such As Tensorflow Or PytorchKnowledge Of Cloud-based Analytics Platforms (aws, Azure, GCP)Familiarity With Advanced Data Engineering Techniques For Large-scale AnalyticsExpertise In Predictive Modeling For Digital Marketing OptimizationBackground In Integrating AI Solutions With CRM Or Marketing Automation Tools

Stack & domain

PythonRTableauAdobe AnalyticsOptimizelyAdobe TargetGoogle OptimizeTensorFlowPyTorchAWSAzureGCPDigital Marketing Analytics PlatformsPredictive ModelingAI Solutions With CRM Or Marketing Automation ToolsTensorflow Developer CertificateAWS Certified Machine Learning SpecialtyAdobe Analytics ExpertGoogle Analytics Individual QualificationAIMLDigital AnalyticsData VisualizationA/B Testing

About the role

Original posting from Brillio 2 via Lever

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:
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 strategiesRequired 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 developmentPreferred 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 toolsDesired 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 QualificationAdditional Information: Immediate joiner required

Source: Brillio 2 careers (Lever)