AI Engineer [T500-19607]

About McDonald’s:

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Company Description:

McDonald’s is on a mission to build a data- and AI-powered organization that scales innovation and accelerates the Arches. The AI Hub, part of the Enterprise Data, Analytics, and AI (EDAA) team, is central to that mission—designing, deploying, and scaling AI-driven products that improve guest experiences, restaurant operations, and business decision-making. The Opportunity We’re seeking a Manager, AI/ML Engineering focused on the development, refinement, and deployment of AI models and algorithms that power enterprise AI initiatives. With an emphasis on aligning technical solutions with business strategy, this position plays a pivotal role in delivering scalable AI products across domains. The role collaborates with cross-functional teams to design machine learning models, optimize performance, and guide delivery from prototype to production. The role contributes directly to evolving AI architectures and drives innovation in enterprise AI solutions.

Key Responsibilities:

Design and build scalable end-to-end AI Systems, focusing on backend development Design, develop, and refine advanced AI models and algorithms, especially generative AI approaches. Includes writing code on AI product component modules, or prototypes, typically in python, but also leveraging database technologies including vector, relational, NOSQL, messaging queues, front end interfaces, etc. Will make heavy use of various GenAI platform API’s.
Lead the execution of AI model lifecycle activities from development to deployment, including training, validation, and tuning
Ensure alignment with enterprise AI architecture and evolving AI strategy
Collaborate with data scientists, LLMOps / MLOps engineers, product managers, and business stakeholders to translate use cases into deployable AI solutions
Contribute to the development of scalable AI pipelines and model deployment workflows across cloud or hybrid infrastructure
Monitor model performance in production and implement updates or retraining processes to ensure continued relevance and accuracy
Apply best practices for reproducibility, version control, documentation, and ethical AI considerations
Mentor junior AI engineers and foster continuous learning and knowledge sharing within AI teams
Stay current with advances in AI/ML research and tools, translating new capabilities into practical enterprise use
Coach and mentor junior AI engineers and support cross-functional teams in AI product delivery
Support enterprise AI governance and model risk management processes

Qualifications Required:

Bachelor’s degree in computer science, Data Science, or a related field; master’s or PhD preferred
5+ years of experience in AI/ML model development or AI System engineering (backend or full stack)
Strong expertise in some variety of programming languages, with an emphasis on Python. Advanced proficiency with some AI/ML frameworks (e.g., Lang Chain, TensorFlow, PyTorch)
Deep understanding of machine learning algorithms, statistical modeling, data structures and distributed systems
Experience working with cloud AI platforms and services (e.g., AWS SageMaker, Google AI Platform, Azure ML)
Familiarity with MLops including model versioning, reproducibility, and monitoring
Ability to clearly communicate technical concepts to both technical and non-technical stakeholders
Strong collaboration skills with cross-functional teams in fast-paced environments
Demonstrated ability to contribute to innovation and continuous improvement in AI practices

Our Commitment to Values: