Sr AI Engineer at PepsiCo

Overview We Are PepsiCo Join PepsiCo and Dare for Better! We are the perfect place for curious people, thinkers and change agents. From leadership to front lines, we're excited about the future and working together to make the world a better place. Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries. Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years. A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you. No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world. Know more: PepsiCoJobs Join PepsiCo, dare for better. Responsibilities The Opportunity We are seeking an AI/ML Engineer with expertise in full stack development, DevOps practices, and AI/ML technologies to integrate AI/ML solutions into R&D digital products. This role is pivotal in establishing robust CI/CD pipelines and managing AI/ML solution deployment processes on Microsoft Azure, ensuring seamless integration of AI/ML capabilities into PepsiCo cloud infrastructure. Your Impact As Sr AI Engineer your scope would consist of Frontend Responsibilities 1. Developing User Interfaces: Designing and implementing intuitive and engaging user interfaces using React and JavaScript. 2. Integrating AI/ML Features: Incorporating AI/ML functionalities into the frontend to enhance user experience, such as chatbots, recommendation systems, and data visualization Backend Responsibilities 1. Server and Database Management: Developing and maintaining servers and databases to ensure functionality and efficiency 2. API Development: Designing and implementing APIs for communication between frontend and backend systems, including AI model endpoints 3. Data Management: Handling data storage, retrieval, and manipulation using SQL and NoSQL databases DevOps and AI/ML specific Responsibilities 1. CI/CD Pipelines: Establishing and maintaining continuous integration and continuous deployment pipelines to automate testing and deployment 2. Cloud Deployment: Managing deployment processes on Azure cloud platforms 3. Monitoring and Maintenance: Monitoring application performance and implementing updates and fixes as needed 4. Developing AI/ML Models: Designing, training, and deploying AI/ML models to solve specific problems, such as rule based engine, natural language processing, and computer vision 5. Optimizing AI/ML Algorithms: Fine-tuning AI/ML algorithms for performance, scalability, and accuracy 6. Integrating AI/ML Solutions: Seamlessly integrating AI/ML models into the overall application architecture Qualifications Who Are We Looking For? 1. Proficiency in programming languages such as Python (Dash & Flask frameworks), Java, PySpark, and SQL 2. Proficiency with version control systems (Git). 3. Ability to write clean, maintainable, and well-documented code. 4. Familiarity with RESTful API integration and asynchronous programming 5. Hands-on experience with modern JavaScript frameworks/libraries such as React, Angular, or Vue.js. 6. Proven experience in setting up CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent tools. 7. Strong understanding of containerization with Docker and orchestration with Kubernetes, particularly in an Azure context (e.g., Azure Kubernetes Service). 8. Knowledge of automated testing frameworks and deployment strategies tailored for Azure environments. 9. Two plus year of work experience in AI, specializing in the implementation of AI and Generative AI solutions. 10. Proficiency in leading GenAI technologies, including but not limited to Hugging Face, LangChain, and OpenAI. 11. Hands-on experience in developing RAG chatbots to enhance information discovery and search efficiency. 12. Work experience in building and deploying AI Agent applications. If this is an opportunity that interests you, we encourage you to apply even if you do not meet 100% of the requirements. What can you expect from us: Opportunities to learn and develop every day through a wide range of programs. Internal digital platforms that promote self-learning. Development programs according to Leadership skills. Specialized training according to the role. Learning experiences with internal and external providers. We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others. Financial wellness programs that will help you reach your goals in all stages of life. A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle. And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a work force and innovation for the organization.


The Opportunity We are seeking an AI/ML Engineer with expertise in full stack development, DevOps practices, and AI/ML technologies to integrate AI/ML solutions into R&D digital products. This role is pivotal in establishing robust CI/CD pipelines and managing AI/ML solution deployment processes on Microsoft Azure, ensuring seamless integration of AI/ML capabilities into PepsiCo cloud infrastructure. Your Impact As Sr AI Engineer your scope would consist of Frontend Responsibilities 1. Developing User Interfaces: Designing and implementing intuitive and engaging user interfaces using React and JavaScript. 2. Integrating AI/ML Features: Incorporating AI/ML functionalities into the frontend to enhance user experience, such as chatbots, recommendation systems, and data visualization Backend Responsibilities 1. Server and Database Management: Developing and maintaining servers and databases to ensure functionality and efficiency 2. API Development: Designing and implementing APIs for communication between frontend and backend systems, including AI model endpoints 3. Data Management: Handling data storage, retrieval, and manipulation using SQL and NoSQL databases DevOps and AI/ML specific Responsibilities 1. CI/CD Pipelines: Establishing and maintaining continuous integration and continuous deployment pipelines to automate testing and deployment 2. Cloud Deployment: Managing deployment processes on Azure cloud platforms 3. Monitoring and Maintenance: Monitoring application performance and implementing updates and fixes as needed 4. Developing AI/ML Models: Designing, training, and deploying AI/ML models to solve specific problems, such as rule based engine, natural language processing, and computer vision 5. Optimizing AI/ML Algorithms: Fine-tuning AI/ML algorithms for performance, scalability, and accuracy 6. Integrating AI/ML Solutions: Seamlessly integrating AI/ML models into the overall application architecture


Who Are We Looking For? 1. Proficiency in programming languages such as Python (Dash & Flask frameworks), Java, PySpark, and SQL 2. Proficiency with version control systems (Git). 3. Ability to write clean, maintainable, and well-documented code. 4. Familiarity with RESTful API integration and asynchronous programming 5. Hands-on experience with modern JavaScript frameworks/libraries such as React, Angular, or Vue.js. 6. Proven experience in setting up CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent tools. 7. Strong understanding of containerization with Docker and orchestration with Kubernetes, particularly in an Azure context (e.g., Azure Kubernetes Service). 8. Knowledge of automated testing frameworks and deployment strategies tailored for Azure environments. 9. Two plus year of work experience in AI, specializing in the implementation of AI and Generative AI solutions. 10. Proficiency in leading GenAI technologies, including but not limited to Hugging Face, LangChain, and OpenAI. 11. Hands-on experience in developing RAG chatbots to enhance information discovery and search efficiency. 12. Work experience in building and deploying AI Agent applications. If this is an opportunity that interests you, we encourage you to apply even if you do not meet 100% of the requirements. What can you expect from us: Opportunities to learn and develop every day through a wide range of programs. Internal digital platforms that promote self-learning. Development programs according to Leadership skills. Specialized training according to the role. Learning experiences with internal and external providers. We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others. Financial wellness programs that will help you reach your goals in all stages of life. A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle. And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a work force and innovation for the organization.