3 hours ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design and implement AI and machine learning models to optimize digital analytics, customer journeys, conversion rates, and user engagement.
- Develop, validate, deploy, monitor, refine, and scale algorithms and statistical models for digital marketing analytics and optimization.
- Use Tableau, Adobe Analytics, Optimizely, Adobe Target, and Google Optimize for data analysis, visualization, experimentation, personalization, and reporting.
- Deliver data-driven recommendations and actionable business insights to stakeholders.
- Lead AI/ML project delivery in alignment with organizational goals and timelines.
- Research and adopt emerging AI, machine learning, and digital analytics technologies.
Requirements
- 4 to 6 years of experience in AI/ML engineering, including hands-on digital analytics optimization experience.
- Proficiency with Tableau and advanced knowledge of statistics and statistical modeling.
- Hands-on experience with Optimizely, Adobe Target, Adobe Analytics, and Google Optimize.
- Technical expertise in digital marketing analytics platforms and programming skills in Python or R for machine learning model development.
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a closely related discipline.
- Preferred experience with TensorFlow or PyTorch, AWS, Azure, or GCP; advanced data engineering; predictive modeling; and CRM or marketing automation integrations.
- Preferred certifications include the TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, Adobe Analytics Expert, or Google Analytics Individual Qualification.
Benefits
- Immediate joiner required.
Tech Stack
Categories
About Brillio
Brillio is a privately held digital engineering and enterprise AI services firm that helps Fortune 1000 companies modernize products, data, and infrastructure. It combines consulting and managed services with an accelerator platform (ADAM) across cloud, AI, data engineering, customer experience, and infrastructure workstreams. Founded in 2014 and headquartered in Dallas, it operates delivery centers across North America, Europe, and Asia, with focus areas that include healthcare and life sciences.