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Senior Machine Learning Engineer

8-13 Years
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Job Description

  • 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

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Indian

About Company

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. Our diverse portfolio of well over 500 beer brands includes global brands Budweiser®, Corona® and Stella Artois®; multi-country brands Beck’s®, Hoegaarden®, Leffe® and Michelob ULTRA®; and local champions such as Aguila®, Antarctica®, Bud Light®, Brahma®, Cass®, Castle®, Castle Lite®, Cristal®, Harbin®, Jupiler®, Modelo Especial®, Quilmes®, Victoria®, Sedrin®, and Skol®. Our brewing heritage dates back more than 600 years, spanning continents and generations. From our European roots at the Den Hoorn brewery in Leuven, Belgium. To the pioneering spirit of the Anheuser & Co brewery in St. Louis, US. To the creation of the Castle Brewery in South Africa during the Johannesburg gold rush. To Bohemia, the first brewery in Brazil. Geographically diversified with a balanced exposure to developed and developing markets, we leverage the collective strengths of approximately 167,000 colleagues based in nearly 50 countries worldwide

Job ID: 124148121

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