Adobe's Customer Solutions (ACS) organization is looking to build intelligent tools, workflows, data pipelines, and models to help their customers thrive by driving customer health, adoption, and value through data-driven insights and next-generation AI-powered solutions.
Requirements
- Strong proficiency in Python, SQL, and distributed computing frameworks like Spark.
- Hands-on experience with Databricks, Delta Lake, and cloud platforms (Azure, AWS, or GCP).
- Deep understanding of LLMs, agentic workflows, and GenAI tools (e.g., Copilot, Claude, Gemini, LLaMA, Databricks Genie).
- Proven track record of building and deploying ML models in production environments.
- Experience with model evaluation, tuning, and lifecycle management (e.g., MLflow).
- Familiarity with Adobe’s DX ecosystem is a plus (e.g., Adobe Experience Platform, Adobe Analytics, Customer Journey Analytics).
- Use Git, Databricks Repos, and CI/CD best practices to ensure reproducibility and collaboration.
Responsibilities
- Design, build, and maintain scalable data science workflows and GenAI/ML pipelines using Databricks, SQL, Python, and cloud-native tools.
- Develop and deploy LLM-powered agents and GenAI solutions that automate insights, optimize customer journeys, and surface proactive recommendations.
- Create and evolve models that predict customer health, churn risk, and value realization, integrating them into robust internal tools and dashboards.
- Collaborate with partners across ACS and DX to understand business needs and translate them into actionable data products.
- Conduct ad hoc and deep-dive analyses to uncover trends, anomalies, and opportunities in customer behavior and engagement.
- Evaluate, fine-tune, and maintain LLMs and ML models using platforms like Azure OpenAI, AWS Claude, and Google Gemini.
- Contribute to the architecture and evolution of our internal analytics ecosystem, ensuring reliability, performance, and scalability.
Other
- 8+ years of experience in data engineering, data science, ML engineering roles, or relevant experience.
- Excellent communication and collaboration skills, with the ability to work across technical and non-technical teams.
- A passion for innovation, experimentation, and building tools that make a real impact.
- Innovative thinking, perseverance, and an ability to deal with complex problems
- Demonstrated ability to work independently, navigate ambiguity, and deliver outcomes that will improve current states and business outcomes.
