Principal Engineer, ML/AI Platform

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Credit Acceptance, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Principal Engineer, ML/AI Platform at Credit Acceptance is a pivotal role focused on the design, development, and deployment of robust machine learning and artificial intelligence solutions. The selected candidate will lead cross-functional teams in creating state-of-the-art algorithms and platforms that drive actionable insights and enhance decision-making processes. Your expertise will be instrumental in advancing our analytics capabilities, ensuring high-performance standards, and fostering a culture of innovation within the organization.

Job Responsibilities

• Design and implement scalable machine learning algorithms and AI models that address business requirements.
• Collaborate with data scientists, engineers, and product managers to develop and deploy end-to-end machine learning solutions.
• Oversee the architecture of the ML/AI platform, ensuring integration with existing systems while optimizing performance.
• Lead research efforts to assess and identify advanced machine learning techniques applicable to business challenges.
• Mentor and provide guidance to engineering teams on best practices in machine learning and software development.
• Establish metrics to monitor and improve the performance of machine learning models and platforms.
• Stay abreast of industry trends, emerging technologies, and best practices to enhance the organization’s capabilities in machine learning and AI.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master’s or Ph.D. preferred.
• A minimum of 5 years of experience in machine learning, AI, or data science.
• Strong programming experience in languages such as Python, Java, or Scala.
• Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-Learn.
• Deep understanding of statistical analysis, predictive modeling, and algorithm design.
• Proven experience in cloud platforms such as AWS, Azure, or Google Cloud.
• Exceptional problem-solving skills and the ability to work within a collaborative team environment.

Technologies & Tools

The Principal Engineer, ML/AI Platform will utilize a variety of technologies and tools, including but not limited to machine learning frameworks like TensorFlow and PyTorch, cloud services such as AWS and Google Cloud Platform, data processing tools like Apache Spark, and containerization technologies like Docker and Kubernetes. Familiarity with databases (SQL and NoSQL) and DevOps practices will also be essential for the successful execution of this role.

Ideal Candidates

The ideal candidate for the Principal Engineer, ML/AI Platform position will possess a combination of technical prowess and leadership qualities. You should be an innovative thinker, capable of translating complex technical concepts into actionable strategies. A keen interest in learning and adapting to new technologies is vital, along with a strong ability to communicate effectively with diverse teams. Candidates should also demonstrate a commitment to fostering an inclusive environment that encourages collaboration and shared learning.