Engineer – Marketing Data & AI
Electrolux Group (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted 22h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Electrolux Group
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Electrolux Group you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy AI-driven solutions focused on consumer engagement platforms like CDPs, marketing automation, and personalization.
- Develop prototypes, proofs of concept, and production-level AI models for audience segmentation, propensity scoring, content recommendations, and predictive analytics.
- Contribute to AI architecture decisions ensuring alignment with enterprise standards and cloud infrastructure; improve models through testing and feedback loops.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, NLP, data science, or related field.
- 5+ years of industry experience in AI or data science roles, preferably in MarTech, CX, or digital environments.
- Proficiency in programming languages such as Python, JavaScript, Node.js, and experience with REST APIs, microservices, and cloud-native application design.
- Location: Bangalore, India (full-time position).
Ideal Candidate Profile
- Experienced in developing scalable AI models that translate business needs into marketing and customer experience solutions.
- Comfortable working in cross-functional, distributed, global teams with Agile development practices.
- Demonstrates technical leadership in AI architecture and collaborative skills to influence diverse stakeholders.