Highlights
Build scalable AI systems, automate workflows, partner with cross-functional teams, develop GenAI capabilities.
Description
Job Summary
pWe are seeking a Marketing AI / Machine Learning Engineer to join our Analytics Engineering team within Marketing Intelligence and Operations. This role involves building and operationalizing AI-driven systems that enhance marketing measurement, automate workflows, and streamline insight generation.
Responsibilities
- Design, develop, and deploy machine learning and generative AI solutions for marketing use cases
- Build 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
Required Skills
- Python programming
- Data pipeline development
- Machine learning model deployment
- Data preparation techniques
- GenAI concept understanding
Required Skills Explained
- Strong foundation in machine learning techniques including regression, classification, and clustering.
- Proficiency in Python and SQL for data manipulation and model development.
- Familiarity with standard ML/data libraries such as Pandas, NumPy, and Scikit-learn.
- Experience with GenAI concepts like prompting, embeddings, vector search, and evaluation.
- Exposure to modern data platforms like Snowflake, Databricks, and BigQuery, along with version control tools like Git.
Who is this for
pThis role suits candidates with a passion for AI and its applications in marketing. Ideal candidates have experience in machine learning, data science, or software engineering and are keen to work on cutting-edge projects that drive business efficiency.
Why This Job is a Good Opportunity
ulliTo be at the forefront of AI-driven marketing solutions that directly impact business outcomes.liA chance to collaborate across teams and drive impactful changes in marketing intelligence.liOpportunity to work with cutting-edge technologies and contribute to a rapidly evolving field.liPotential for growth within a hybrid work environment, balancing remote and in-person collaboration.
Interview Preparation Tips
- Prepare examples of how you've successfully implemented machine learning models or automated workflows in previous roles.
- Research the company's marketing strategies and goals to understand how your skills can contribute.
- Be ready to discuss your experience with GenAI concepts, including prompting and vector search.
- Showcase your ability to work cross-functionally by providing examples of successful collaborations.
Career Growth in This Role
pThis role offers opportunities for career growth as you'll have the chance to build and scale AI-driven systems that significantly impact marketing operations. You can expect to advance into more leadership roles, overseeing larger projects or leading teams focused on AI and ML initiatives. Additionally, with a focus on MLOps and LLMOps, there's potential to specialize in these areas, making you a valuable asset in the field of AI engineering.
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Skills
Frequently Asked Questions
What is the role scope of this position?The role involves building and operationalizing AI-driven systems that enhance marketing measurement, automate workflows, and streamline insight generation.
What kind of cross-functional collaboration can I expect in this role?You will collaborate with Marketing, Analytics, and Engineering teams to translate business needs into technical solutions.
Is there an opportunity for growth within the company?Yes, Morningstar offers opportunities for professional development and career advancement within a supportive work environment.
