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 & 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
Level of educational attainment required (1 or more of the following)
Bachelor's or masters degree in Computer Science, Engineering, or a related field, Previous work experience required
Proven experience of 6+ years in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database, Technical skills required
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), And above all of this, an undying love for beer!
We dream big to create future with more cheer

Senior Machine Learning Engineer

Job Description

Required Skills