Dir – Machine Learning Eng

Dir – Machine Learning Eng

Requirements

• Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space
• Ability to lead and inspire a team, excellent interpersonal skills, and the capacity to communicate complex machine learning concepts and their influence / impact on the data space clearly and effectively to stakeholders at all levels
• A deep understanding of machine learning models, frameworks, and algorithms, with hands-on experience in model development, deployment, and optimization complemented with a good understanding of the big data technologies and challenges
• Strategic thinking capabilities, with a proven track record of leveraging AI to solve complex business challenges and drive growth
• Passionate about the ethical and responsible use of AI/ML, ensuring solutions meet the highest standards of transparency and fairness
• Typically requires a Master’s degree in applied machine learning, artificial intelligence, or data science. A PhD is preferred.

Responsibilities

• Lead a team of applied scientists and data / systems engineers in designing, building and maintaining core capabilities with Adobe Experience Platform focused on big-data management (petabytes) and compute abstractions (Spark, Kubernetes, etc)
• Drive the transformation of a data engineering group toward a world where AI/ML is an integral part and heavily influencing the innovation in the data engineering space
• Provide strong leadership to the engineering team, fostering a culture of collaboration, innovation, and continuous improvement
• Drive technical excellence, operational maturity, and code quality within your team
• Attract, recruit, hire, and develop a high-performing group with the right mix of skills to support the AI/ML, data and operational excellence needs

Preferred Qualifications

No preferred qualifications provided.