Mumbai, Maharashtra, India
Information Technology
Full-Time
AB InBev GCC India
Overview
Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s 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
As a Data Scientist you will work at the intersection of
We dream big to create future with more cheers.
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
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
- Academic degree in, but not limited to, Bachelors or master's in computer application, Computer science, or any engineering discipline.
- Minimum 3 years of relevant experience.
- 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.
- APIs: Experience with FastAPI or Flask.
- Software Development: Understanding of software development lifecycle (SDLC) and Agile methodologies.
We dream big to create future with more cheers.
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