Lead AI Engineer I
Brillio · Bengaluru · onsite · Posted 28d ago
Undisclosed4–6 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Lead AI Engineer I
Job requirements
- 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
- Bachelors 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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Automationcrmamazon web servicesbusiness insightsai engineeranalytics platformsAnalyticsTargetData EngineeringcloudData CollectionAlgorithmsAWS CertifiedAi SolutionsMicrosoft AzureData ScienceArtificial Intelligence
About Brillio
Brillio
IT Services & Consulting
3.7k+
employees
2014
12 years old
Dallas, US state of Texas
CU
About
Brillio offers comprehensive digital transformation services, focusing on customer experience, AI, and product engineering to drive business innovation.
Industries
IT Services & ConsultingAnalytics & KPO
Employee ratings
1,318 reviews
3.4/ 5
Culture
3.2
Career growth
2.8
Work-life
3.4
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