Data Scientist

Job Description

Dreaming big is in our DNA Its who we are as a company Its our culture Its our heritage And more than ever, its our future A future where were always looking forward Always serving up new ways to meet lifes moments A future where we keep dreaming bigger We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential The power we create together when we combine your strengths with ours is unstoppable Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology The teams are transforming Operations through Tech and Analytics, Do You Dream Big We Need You, Job Description Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)s Supply Analytics is responsible for building competitive differentiated solutions that enhance brewery efficiency through data-driven insights We optimize processes, reduce waste, and improve productivity by leveraging advanced analytics and AI-driven solutions, As a Data Scientist you will work at the intersection of Conceptualize the analytical solution for the business problem by implementing statistical models and programming techniques, Application of machine learning solutions, Best in class cloud technology & micro-services architecture, Use DevOps best practices that include model serving, data & code versioning, Key tasks & accountabilities Develop and fine-tune Gen AI models to solve business problems, leveraging LLMs, and other advanced AI techniques, Design, implement, and optimize AI-driven solutions that enhance automation, efficiency, and decision-making, Work with cloud-based architectures to deploy and scale AI models efficiently using best-in-class microservices, Apply DevOps and MLOps best practices for model serving, data and code versioning, and continuous integration/deployment, Collaborate with cross-functional teams (engineering, business, and product teams) to translate business needs into AI-driven solutions, Ensure model interpretability, reliability, and performance, continuously improving accuracy and reducing biases, Develop internal tools and utilities to enhance the productivity of the team and streamline workflows, Maintain best coding practices, including proper documentation, testing, logging, and performance monitoring, Stay up to date with the latest advancements in Gen AI, LLMs, and deep learning to incorporate innovative approaches into projects, Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or master's in computer application, Computer science, or any engineering discipline, Previous Work Experience Minimum 3 years of relevant experience, Technical Skills Required Programming Languages: Proficiency in Python, Mathematics and Statistics: Strong understanding of linear algebra, calculus, probability, and statistics, Machine Learning Algorithms: Knowledge of supervised, unsupervised, and reinforcement learning techniques, Natural Language Processing (NLP): Understanding of techniques such as tokenization, POS tagging, named entity recognition, and machine translation, LLMs: Experience with Langchain, inferring from LLMs and fine tuning LLMs for specific tasks, Prompt Engineering, Data Preprocessing: Skills in data cleaning, normalization, augmentation, and handling imbalanced datasets, Database Management: Experience with SQL and NoSQL databases like MongoDB and Redis, Cloud Platforms: Familiarity with Azure and Google Cloud Platform, DevOps: Knowledge of CI/CD pipelines, Docker, Kubernetes, Other Skills Required APIs: Experience with FastAPI or Flask, Software Development: Understanding of software development lifecycle (SDLC) and Agile methodologies, And above all of this, an undying love for beer! We dream big to create future with more cheers,