Manager, AI/ML Engineering

Company Description: McDonalds is scaling its global data platform to deliver real-time, actionable insights that enhance operations and elevate customer experience. Through Enterprise Data, Analytics, and AI (EDAA), were enabling a smarter, more connected ecosystemdriven by cloud technology, automation, and intelligent data engineering. The Opportunity: We are looking for aMachine Learning Engineer to develop, train, and deploy machine learning models, ensuring they are accurate, scalable, and reliable. This role will be responsible for designing, developing, and implementing AI/ML solutions that drive business outcomes. Key Responsibilities: • Develop, train, and deploy machine learning models using various algorithms and techniques. • Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems and processes. • Design and implement data pipelines to collect, process, and analyze large datasets. • Work closely with stakeholders to understand business requirements and develop AI/ML solutions that meet those needs. • Stay up-to-date with the latest advancements in AI/ML and apply this knowledge to improve our solutions. • Develop and maintain technical documentation for AI/ML models and pipelines. • Participate in code reviews and ensure adherence to coding standards. • Troubleshoot and debug AI/ML models and pipelines as needed. The Ideal Candidate: We are looking for a highly motivated and experienced Machine Learning Engineer who has a strong passion for AI/ML and is eager to contribute to the development of innovative solutions. Requirements: • Bachelor's or Master's degree in Computer Science, Data Science, or related field. • 3+ years of experience in machine learning engineering with a focus on developing and deploying AI/ML models. • Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning methods. • Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. • Familiarity with cloud-based technologies such as AWS, Azure, or Google Cloud. • Strong programming skills in languages such as Python, R, or SQL. • Excellent problem-solving skills and attention to detail. • Ability to work effectively in a fast-paced environment and prioritize tasks accordingly. Benefits: • Competitive salary and benefits package. • Opportunities for professional growth and development. • Collaborative and dynamic work environment. • Access to cutting-edge technologies and tools.