Want Job Alerts? Join UsAbout AB InBev Careers 2025
As a company, we dream big to create a future with more cheers. We are always looking to serve up new ways to meet life’s moments, move our industry forward and make a meaningful impact in the world. We are committed to building great brands that stand the test of time and to brewing the best beers using the finest ingredients.
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AB InBev Careers 2025 Details
| Company Name | AB InBev |
| Job Role | Data Scientist |
| Job Type | Full Time |
| Job Location | Bangalore |
| Education | BE/ B.Tech/ ME/ M.Tech |
| Career Level | 0 – 1 Years |
| Salary | Not Mentioned |
| Company Website | www.ab-inbev.in |
Job Description For AB InBev Careers 2025
Purpose of the role
The Global GenAI Team at Anheuser-Busch InBev (AB InBev) is tasked with constructing competitive solutions utilizing GenAI techniques. These solutions aim to extract contextual insights and meaningful information from our enterprise data assets. The derived data-driven insights play a pivotal role in empowering our business users to make well-informed decisions regarding their respective products. In the role of a Machine Learning Engineer (MLE), you will operate at the intersection of:
- LLM-based frameworks, tools, and technologies
- Cloud-native technologies and solutions
- Microservices-based software architecture and design patterns
As an additional responsibility, you will be involved in the complete development cycle of new product features,encompassing tasks such as the development and deployment of new models integrated into production systems. Furthermore, you will have the opportunity to critically assess and influence the product engineering, design,architecture, and technology stack across multiple products, extending beyond your immediate focus.
Key Tasks And Accountabilities
- Design, develop, and implement innovative Language Model applications using Azure OpenAI and Redis as a vector database.
- Collaborate with cross-functional teams to integrate LangChain, OpenAI Python SDK, LammaIndex, OLamma,and other technologies into the application architecture.
- Implement and optimize machine learning models for natural language processing tasks.
- Ensure the scalability, performance, and reliability of language model applications.
- Integrate and configure observability tools such as mlflow, langsmith, langfuse, weight and bias, etc., for monitoring and improving application performance.
- Collaborate with data scientists, software engineers, and other stakeholders to enhance and refine language models based on user feedback and evolving requirements.
- Stay current with industry trends and advancements in language models, AI, and related technologies.
- Working knowledge of Fast API and Celery with experience in backend services
Qualifications, Experience, Skills
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
- Proven experience in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database.
- Solid understanding of language model technologies, including LangChain, OpenAI Python SDK, LammaIndex,OLamma, etc.
- Proficiency in implementing and optimizing machine learning models for natural language processing.
- Experience with observability tools such as mlflow, langsmith, langfuse, weight and bias, etc.
- Strong programming skills in languages such as Python and proficiency in relevant frameworks.
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Excellent problem-solving and communication skills.
AB InBev Careers 2025 Application Process
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We wish you the best of luck in your AB InBev Careers 2025. May your talents shine, and may you find the perfect opportunity that not only meets your professional goals but also brings joy to your everyday work.
