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 production-ready. The ideal candidate has strong hands-on experience in ML model development, deployment, and MLOps practices, with familiarity in data exploration and feature engineering.
Key Responsibilities:
Qualifications
Required:
Preferred:
McDonalds Values:
Our shared values create the foundation for how we work:
Equal Opportunity Statement:
McDonalds believes in equal opportunity and a workplace where everyone belongs. We welcome candidates from all backgrounds and are committed to creating a diverse, inclusive environment where everyone can thrive.
Manager, AI/ML Engineering • Hyderabad, India
We are a forward-thinking technology company dedicated to pushing the boundaries of artificial intelligence.Our mission is to innovate and create solutions that enhance business operations and impr... Show more
We are seeking an experienced Senior AI Engineer to join our dynamic team, driving innovation in AI-driven solutions with a global impact.This role is specifically tailored for a highly motivated p... Show more
The ideal candidate should have strong experience in.Python, data science, and modern ML frameworks.LLMs and real-world production systems.AI solutions (NLP, Computer Vision, or LLMs).Work with lar... Show more
Fine-tune and optimize LLMs such as LLaMA and OpenAI GPT using advanced prompt.Design and implement end-to-end RAG pipelines with vector search (FAISS, hybrid.Build autonomous AI agents using LangC... Show more
Lead AI/ML Engineer (Agentic Systems).This role sits at the intersection of.Agentic Systems Architecture & Core Engineering.Design and build multi-agent workflows:.State, memory, and long-running e... Show more
Lead end-to-end development of AI/ML solutions from problem definition to production deployment.Architect scalable and efficient ML pipelines and data workflows.Design and implement advanced models... Show more
The ideal candidate should have strong experience in.Python, data science, and modern ML frameworks.LLMs and real-world production systems.AI solutions (NLP, Computer Vision, or LLMs).Work with lar... Show more
Lead end-to-end development of AI/ML solutions from problem definition to production deployment.Architect scalable and efficient ML pipelines and data workflows.Design and implement advanced models... Show more
Hands-on experience with Python/R, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn) Experience deploying models on cloud platforms (Azure / AWS / GCP) Strong understand. Show more
Lead end-to-end development of AI/ML solutions from problem definition to production deployment.Architect scalable and efficient ML pipelines and data workflows.Design and implement advanced models... Show more
We are seeking a Lead Machine Learning and MLOps Engineer focused on Generative AI to join our ML team within the Data Science Center of Excellence at S&P Global.In this role, you will lead enginee... Show more
AI Engineering, ML, AI, or GenAI roles (hands-on).Ability to bring order and clarity to complex engineering environments.Strong GenAI understanding (RAG, agents, evaluations, data flows).Excellent ... Show more
Design and implement production-grade AI/ML and Agentic AI solutions that drive end-to-end transformation across pricing, underwriting, and sales.Partner with Cloud, AIOps, Data Science, LOB IT, En... Show more
As an AI/ML Engineer, you will be responsible for architecting, developing, and deploying production-grade Generative AI and Agentic AI solutions, including LLM-powered systems, autonomous workflow... Show more
The ideal candidate should have strong experience in.Python, data science, and modern ML frameworks.LLMs and real-world production systems.AI solutions (NLP, Computer Vision, or LLMs).Work with lar... Show more
Hands-on experience with Python/R, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn) Experience deploying models on cloud platforms (Azure / AWS / GCP) Strong understand. Show more
AI Engineering, ML, AI, or Gen AI roles (hands-on).Ability to bring order and clarity to complex engineering environments.Strong Gen AI understanding (RAG, agents, evaluations, data flows).Excellen... Show more
Grade Level (for internal use):.Kensho is S&P Global's hub for AI innovation and transformation.With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P ... Show more
AI Engineering, ML, AI, or GenAI roles (hands-on).Ability to bring order and clarity to complex engineering environments.Strong GenAI understanding (RAG, agents, evaluations, data flows).Excellent ... Show more
Lead AI/ML Engineer (Agentic Systems).This role sits at the intersection of.Agentic Systems Architecture & Core Engineering.Design and build multi-agent workflows:.State, memory, and long-running e... Show more
