Lead AI Engineer I - R01571481
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Key details
- Location
- Bengaluru, KA, India
- Work style
- Onsite
- Level
- Mid level
- Experience
- 4–6 yrs
- Function
- Data & ML
- Focus area
- AI / ML
- Posted
- 3w ago
Skills
a/b testingadobeai/mlalgorithmsawsaws certifiedazurecrmdata collectiondata engineeringdata visualizationdigital marketinggcpgoogle analyticsmachine learningmarketing automationpredictive modelingpythonpytorchrstatistical modelingtableautensorflow
About the 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
- 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
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
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