McDonald's

Data Engineer

Chicago, IL US
GCP Python API PyTorch
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Description

Company Description

McDonald's evolving Accelerating the Arches growth strategy puts our customers and people first and demonstrates our competitive advantages to strengthen our brand. We are recognized on lists like Fortune’s Most Admired Companies and Fast Company’s Most Innovative Companies.

Doubling Down on the 4Ds (Delivery, Digital, Drive Thru, and Development)

Our growth pillars emphasize the critical role technology plays as the best-in-class, global omni-channel restaurant brand. Technology enables the organization through digital technologies, and improving the customer, crew and employee experience each and every day!

Global Technology forging the way

Leading the digitization of our business is the Technology organization made up of innovation specialists who build industry defining tech using the latest innovations and platforms, like AI and edge computing to deliver on the next set of groundbreaking opportunities for the business. We take on technology innovation challenges at an incredible scale, and work across global teams who are always hungry for a challenge! This provides access to compelling career paths for technologists. It’s bonus points when you get to see your family and friends use the tech you build at their favorite McD restaurant.

Job Description

In this role, will be working with software and data to drive Generative AI solutions at McDonald's. Generative AI is opening up powerful new capabilities for building enterprise solutions, and you will be able to help advance their implementation and value at McDonald's.

Responsibilities

1. Technical Solution Development:

  • Design and develop AI-powered solutions using the technical stack on Google Cloud Platform (GCP), including Vertex AI, Gemini models, and Python.
  • Work extensively with Python, LLM/GenAI frameworks and various AI/ML tools to develop end-to-end solutions. 
  • Developing CI/CD pipelines, containerizing and deploying LLM models on cloud platforms, testing models, and ensuring their ongoing maintenance throughout the ML model lifecycle.
  • Design and implement ETL/ELT pipelines, with proficiency
  • Collaborate with Data engineers to implement AI algorithms to solve business problems.
  • Collaborate with a team to drive Generative AI solutions forward to solve business problems
  • Design prototypes and proof-of-concepts (POCs) to demonstrate the feasibility and value of solutions.
  • Research, design, build, and train innovative applications of LLMs that provide architectural solutions for complex real-world problems.
  • Ensure the scalability, reliability, and performance of the technical solutions to meet the needs of various stakeholders.

2. Performance Monitoring and Optimization:

  • Monitor the performance of GenAI-powered products and analyze key metrics to assess their impact on Customers, Corporate, Restaurants, and Markets.
  • Identify opportunities for optimization and improvement based on data-driven insights and user feedback.
  • Iterate on product features, user experiences, and business processes to continuously enhance the value delivered by GenAI solutions.

3. Business Requirements Analysis:

  • Work closely with business stakeholders from Customers, Corporate, Restaurants, and Markets to understand their needs, challenges, and opportunities.
  • Collaborate with cross-functional teams to deploy solutions on major cloud platforms, with a preference for GCP expertise.
  • Identify key performance indicators (KPIs) and success criteria for evaluating the effectiveness of GenAI-powered products.

Qualifications

  • Bachelor’s Degree in Computer Science or equivalent background with at least 5+ years of software development experience.
  • Strong proficiency in Python programming; familiarity with other languages is a plus.
  • Passion for software development with Generative AI capabilities, with experience using LangChain and at least 2 models spanning major openings (Gemini, OpenAI, Anthropic, hugging face, etc) and vector database technology such as Pinecone.
  • Minimum of 2+ years of experience with major cloud platforms, preferably with a background in Google Cloud Platform (GCP).
  • Exceptional communication skills with the ability to convey complex concepts to non-technical stakeholders.
  • Proven ability to thrive in a fast-changing environment and contribute to team discussions.
  • Hands-on experience with Python, 2+ years of experience with Schell scripting, 1+ years of experience building and maintaining scalable API solution.
  • 2+ years of professional experience with NLP, 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia,  Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database.

 

    Additional Information

    McDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis.

    McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

    Nothing in this job posting or description should be construed as an offer or guarantee of employment.

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