(Urgent) Manager, Ai/ml Engineering

About McDonalds in India 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 About McDonalds One of the worlds largest employers with locations in more than 100 countries McDonalds 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 McDonalds 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 missiondesigning deploying and scaling AI-driven products that improve guest experiences restaurant operations and business decision-making The Opportunity Were 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 APIs 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 Bachelors degree in computer science Data Science or a related field masters 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 Serve Customers and people first Inclusion Everyone is welcome Integrity We do whats right Community We give back Family We support each other Work location Hyderabad India Work pattern Full time role Work mode Hybrid