Highlights
Leverage cutting-edge technology to transform marketing workflows, collaborate on complex projects, and develop scalable AI systems.
Description
Job Summary
pWe are seeking a Marketing AI / Machine Learning Engineer to join our Analytics Engineering team within the Marketing Intelligence and Operations (MIOps) department. This role involves developing and operationalizing AI-driven systems that enhance marketing measurement, automate workflows, and scale insight generation.
Responsibilities
- Design, develop, and deploy machine learning and generative AI solutions for marketing use cases
- Build and maintain scalable data and model pipelines across the ML lifecycle (data prep, modeling, evaluation, deployment, monitoring)
- Develop GenAI capabilities including prompt workflows, embeddings, and retrieval-augmented generation (RAG) patterns
- Contribute to AI agents and automation workflows that streamline marketing analysis and operations
- Partner with Marketing and Analytics teams to translate business needs into technical solutions
- Perform data preparation, feature engineering, and validation across marketing and enterprise data sources
- Integrate AI outputs into dashboards, tools, and downstream workflows
- Document systems, models, and outputs to ensure transparency and usability
Required Skills
- Machine learning
- Data science
- Prompts & embeddings
- Data pipelines
- CI/CD in AI
Required Skills Explained
- Strong foundation in machine learning algorithms such as regression, classification, and clustering.
- Proficiency in Python for data manipulation using libraries like Pandas and NumPy.
- Experience with ML/data science libraries such as Scikit-learn.
- Familiarity with generative AI concepts including prompting, embeddings, and vector search.
- Exposure to modern data platforms like Snowflake or Databricks for managing large datasets.
- Ability to work cross-functionally and communicate technical concepts effectively.
Who is this for
pThis role suits individuals with a strong background in machine learning and data science, who are excited about building and operationalizing AI-driven systems. Ideal candidates should have experience working on cross-functional teams to translate business needs into technical solutions.
Why This Job is a Good Opportunity
ulliOpportunity to work on cutting-edge AI-driven systems that directly impact marketing measurement and decision-making processes.liPotential to scale automation workflows, reducing manual analysis and operational overhead for the marketing team.liPart of a dynamic team focused on integrating ML, GenAI, and analytics engineering into modern marketing intelligence ecosystems.liFlexible work environment that balances in-person collaboration with remote flexibility.liApart from technical challenges, you get to contribute to meaningful projects that drive business growth.
Interview Preparation Tips
- Prepare examples of your previous experience working on ML or GenAI projects and how they solved specific business problems.
- Be ready to discuss your familiarity with different ML/data science libraries and tools, especially Python-based ones.
- Highlight any exposure you have with modern data platforms like Snowflake or Databricks.
- PRACTICE EXPLAINING TECHNICAL CONCEPTS in a clear and understandable manner. This is crucial for cross-functional collaboration.
- Research the company's marketing strategies and AI initiatives to understand how your role will fit into their ecosystem.
Career Growth in This Role
pThis role offers significant opportunities for professional growth, especially if you're passionate about integrating advanced technologies like ML and GenAI into real-world applications. As a Marketing AI/Machine Learning Engineer, you can explore diverse avenues such as expanding your expertise in various AI frameworks, enhancing data pipeline management skills, or even venturing into MLOps/LLMOps to optimize model deployment and monitoring processes.pMoreover, the role's cross-functional nature allows for continuous learning across different domains including marketing analytics, software engineering, and data science. This exposure can lead to career advancements not only within the AI team but also in related areas like product development or strategic business analysis.
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Skills
Frequently Asked Questions
What is the job location?The position is based in Bangalore.
Is this a full-time role?Yes, it is a full-time opportunity.
What are the education requirements?A bachelor’s degree is required; master's preferred in a quantitative field.
