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Brillio

Lead AI Engineer I - R01571481

Bengaluru · Senior

Good timing - competition is buildingVerified listingPosted 12d ago

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

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What we know about this role

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Window passed - posted 12d ago

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Skills required

22 listed
Data-Driven Decision-MakingA/B TestingMachine LearningDigital MarketingAdobe AnalyticsDigital DataAdobe TargetGoogle Optimize+14 more
Data-Driven Decision-MakingA/B TestingMachine LearningDigital MarketingAdobe Analytics

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Job description

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 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
  • Additional Information: Immediate joiner required

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    Keep browsing

    All open roles at BrillioAll Machine Learning Engineer jobs in Bengaluru

    Two ways in

    Applicants who checked fit first are 3.1× more likely to hear back

    Your match scoreCalculated · locked
    86Overall
    64Skills
    97Experience

    Your score for this role already exists

    ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

    No credit card · 1 tap with Google

    Free · no signup

    Get tomorrow's jobs before you have to search

    Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

    Join WhatsAppJoin Telegram

    No spam. Just jobs and resources.

    Why people use ASAI

    Someone shared one job with you. ASAI keeps finding the rest.

    • Scored, not searched. Every role ranked against your actual profile.

    • Alerts as often as hourly. Reach new roles while the pile is still small.

    • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

    • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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