Brillio

Lead AI Engineer I - R01571482

Brillio  •  Bengaluru, IN (Onsite)  •  3 hours ago
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Job Description

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
  • 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
Brillio

About Brillio

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Founded in 2014 as a digitally native full-service digital transformation services and consulting firm, we apply our expertise in customer experience transformation, data analytics, Artificial Intelligence (AI), platform and product engineering, cloud infrastructure, and security to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.

Headquartered in Dallas, Texas, we are powered by a diverse global team of world-class professionals across the U.S., the UK, Romania, Canada, Mexico and India, and are certified a Great Place to Work®. We help clients harness the transformative potential of the four superpowers of technology: cloud computing, Internet of Things (IoT), AI, and mobility. We bring deep expertise across the full spectrum of digital capabilities:

• Accelerating customer experience transformation to drive growth, customer advocacy, and superior customer experience

• Powering intelligent enterprises by harnessing the potential of data, analytics, and AI

• Crafting products of relevance with a product mindset and high-performance engineering

• Enabling enterprise agility with resilient cloud infrastructure and security

To learn more, please visit https://www.brillio.com/ and follow us here or @brillioglobal.

Industry
Unknown
Company Size
5,001-10,000 employees
Headquarters
Dallas, Texas
Year Founded
Unknown
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