Ai Engineer

Description:

J.D. Power is a global leader in consumer insights, advisory services and data and analytics. A pioneer in the use of big data, artificial intelligence (AI) and algorithmic modeling capabilities to understand consumer behavior, J.D. Power has been delivering incisive industry intelligence on customer interactions with brands and products for more than 50 years. The world's leading businesses across major industries rely on J.D. Power to guide their customer-facing strategies.

The Role:

JD Power is at the forefront of industry reinvention in a number of industries including automotive. We help clients reimagine how they serve their connected customers and operate their complex enterprises. We’re looking for an experienced artificial intelligence engineer to join the revolution, developing and using deep learning and other advanced AI/ML algorithms (including Generative AI) to help us improve various business outcomes and drive innovation.

The Impact You Will Have In This Role

This engineer will join an experienced data science team helping to shape AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

What You'll Be Doing In This Role
 

• Create and manage the AI/ML development and production infrastructure
• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures
• Understand company and client challenges and how integrating AI capabilities can help lead to solutions
• Conduct and interpret analyses to help guide JDPA’s organizational development process and decisions
• Automate processes within the infrastructure to enhance efficiencies for model creation, productionizing, monitoring, and improvement
• Build AI models and help product managers with their evaluation and implementation
• Transform AI models into APIs for integration into wider data processes
• Collaborate across teams to help with AI adoption and implementation of best practices and high ethical standards
   

Qualifications Of This Role
 

• Two or more years of experience in applying AI to practical and comprehensive technology solutions
• Experience with using, developing, and applying ML, deep learning, TensorFlow, and some approach to MLOps
• Knowledge of basic ML algorithms, object-oriented and functional design principles, and best-practices in AI/ML, and its development and implementation environments
• Experience in REST API development and RDBMS design and optimizations
• Advanced skills and experience with Python, SQL
• Experience with managing cloud and large data environments and the challenges associated with them including automation & monitoring. AWS is the most preferred, followed by Google.
• 4-6 years of overall full-time quantitative analytics professional (non-academic) experience and quantified business impact