The Coca-Cola Company
The Coca-Cola Company
The Coca-Cola Company वैश्विक पेय पदार्थों का व्यवसाय है, जिसकी स्थापना 1886 में हुई थी। इसके उत्पादों में कार्बोनेटेड पेय, पानी और अन्य हाइड्रेशन विकल्प, कॉफी और चाय, जूस, डेयरी पेय तथा पीने के लिए तैयार अल्कोहल उत्पाद शामिल हैं। इसके पोर्टफोलियो में 200 से अधिक ब्रांड हैं, जो 200 से अधिक देशों में बेचे जाते हैं। कंपनी का कार्य जल संरक्षण, टिकाऊ कृषि, उत्पादों में चीनी की मात्रा कम करने और The Coca-Cola Foundation के माध्यम से समर्थित सामुदायिक पहलों तक भी फैला हुआ है। बड़े अंतरराष्ट्रीय कार्यबल और विभिन्न बाजारों में रोजगार के अवसरों के साथ, The Coca-Cola Company अपने कार्यस्थल के दृष्टिकोण में समावेशन, पहुंच और सामाजिक प्रभाव को महत्व देती है।

Senior Manager, Data Science and Agentic AI – Mexico City

Lead predictive modeling and agentic AI development on Coca-Cola’s Azure and Microsoft Fabric platforms. Scale data-driven decisions across LATAM commercial and enterprise functions.

विवरण

  • Create and scale data science models and AI agents that convert LATAM data into actionable decisions
  • Develop predictive and prescriptive models for forecasting, elasticity, segmentation, and next-best-action recommendations
  • Move analytical use cases from proof of concept to production through experimental design, feature engineering, validation, and impact measurement
  • Examine complex, high-volume datasets to uncover trends, drivers, risks, and optimization opportunities
  • Build LLM-powered assistants, copilots, and multi-step agentic workflows
  • Use RAG, prompt and context engineering, tool and function calling, orchestration, multi-agent architectures, and semantic or ontology grounding
  • Deploy and operate agents with Azure AI Foundry, Microsoft Fabric, Azure ML, and the Nexus AI platform
  • Version agents and integrate them into business processes
  • Test and strengthen agents with evaluation sets and guardrails while monitoring accuracy, hallucinations, bias, drift, and token costs
  • Implement Responsible AI and governance practices covering lineage, auditability, and safe, compliant use
  • Collaborate with Commercial, Marketing, Finance, Supply Chain, Strategy, data engineering, and governance teams
  • Apply MLOps methods, including CI/CD, monitoring, and reproducible workflows
  • Turn technical findings into business narratives and recommendations for senior stakeholders
  • Mentor analysts, develop reusable patterns, and encourage experimentation and evidence-based decisions

आवश्यकताएँ

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Analytics, or a related discipline
  • At least five years of experience in data science, machine learning, or advanced analytics, including delivering production models
  • Hands-on experience developing generative AI and agentic applications using LLMs, RAG, prompt and context engineering, tool calling, and agent orchestration
  • Strong foundations in Python, pandas, scikit-learn, a modern deep learning or LLM framework, SQL, statistics, and experimentation
  • Experience with cloud data and AI platforms, preferably Azure, including Azure ML and Azure AI Foundry or OpenAI
  • Experience with Microsoft Fabric or Databricks, MLOps, and vector databases
  • Knowledge of Responsible AI and governance practices, including evaluation, guardrails, bias and drift monitoring, lineage, and cost management
  • Strong communication skills and commercial understanding
  • Ability to work across matrixed global teams while managing multiple priorities in a fast-paced setting
  • Familiarity with the beverage and system landscape, including RGM, Commercial, and Revenue, is advantageous
  • A master’s degree is advantageous
  • Knowledge of the EU AI Act and NIST AI RMF is advantageous

लाभ

  • Purpose-led work influencing LATAM growth and decision-making
  • Opportunity to work with Global DTS, Europe, and leading bottlers
  • Career development as a data science and agentic AI leader
  • Participation in a globally connected organization
  • Culture of continuous learning
  • Inclusive workplace guided by the company’s purpose

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