Requirements:

Advanced degree or equivalent experience in Computer Science, Machine Learning, Data Science or a related field, with hands-on experience in software engineering
Experience with proficiency in building and deploying scalable ML models, including NLP applications
Technical Skills: Strong coding skills in Python, Java. Familiarity with API design, RESTful services, CI/CD pipelines, and backend development is crucial. Working Experience with RAG architectures and frameworks (e.g., LangGraph, LlamaIndex, Autogen or Crew.ai). Knowledge of monitoring and observability tools for AI systems
Leadership & Communication: Excellent leadership abilities to guide projects from ideation to implementation

Nice-to-have Skills:

Experience with conversational AI, text generation, sentiment analysis
Experience with TensorFlow, PyTorch, scikit-learn, pandas, NumPy, SQL/NoSQL databases, and cloud infrastructure

Innovate: Design and implement scalable AI/ML solutions, focusing on APIs, RAG architectures, and agent frameworks. Integrate these technologies into Adobe’s ecosystem
Collaborate: Work with multi-functional teams consisting of data scientists, researchers, product managers, and software engineers to deliver innovative projects
Lead: Mentor team members and drive key ML initiatives from concept to deployment, ensuring robust and scalable solutions
Engage: Connect with customers to understand their needs and implement personalized solutions that align with business objectives
Represent Adobe: Share insights at industry conferences, publish thought leadership content, and showcase your work internally and externally

Adobe is an Equal Employment Opportunity employer, committed to encouraging a diverse and inclusive work environment
We offer a culture of innovation, collaboration, and recognition through innovative AI/ML technologies
If you're passionate about leading in AI/ML and driving digital transformation, join us at Adobe