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GenAI Solutions Data Scientist Job Opening In Bengaluru – Now Hiring AB InBev GCC India


Job description

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 (Gen AI Experience)

Location: Bengaluru

Reporting to: Senior Manager - Analytics



1.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 Data Scientist, 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.



2.Key tasks & accountabilities



  • Large Language Models (LLM):

Experience with LangChain, LangGraph

Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler


  • Multi-modal Retrieval-Augmented Generation (RAG):

Expertise in multi-modal AI systems (text, images, audio, video)

Designing and optimizing chunking strategies and clustering for large data processing

  • Streaming & Real-time Processing:

Experience in audio/video streaming and real-time data pipelines

Low-latency inference and deployment architectures


  • NL2SQL:

Natural language-driven SQL generation for databases

Experience with natural language interfaces to databases and query optimization


  • API Development:

Building scalable APIs with FastAPI for AI model serving


  • Containerization & Orchestration:

Proficient with Docker for containerized AI services

Experience with orchestration tools for deploying and managing services


  • Data Processing & Pipelines:

Experience with chunking strategies for efficient document processing

Building data pipelines to handle large-scale data for AI model training and inference


  • AI Frameworks & Tools:

Experience with AI/ML frameworks like TensorFlow, PyTorch

Proficiency in LangChain, LangGraph, and other LLM-related technologies


  • Prompt Engineering:

Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting

Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy

Strong understanding of context window management and optimizing prompts for performance and efficiency


3.Qualifications, Experience, Skills


Level of educational attainment required

  • Bachelor's or Masterʼs degree in Computer Science, Engineering, or a related field.


Previous work experience required

  • Proven experience of 3+ 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 cheers

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your GenAI Solutions Potential: Insight & Career Growth Guide


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at AB InBev GCC India adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for GenAI Solutions Data Scientist Job Success

AB InBev GCC India interview tips for GenAI Solutions Data Scientist

Here are some tips to help you prepare for and ace your GenAI Solutions Data Scientist job interview:

Before the Interview:

Research: Learn about the AB InBev GCC India's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

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Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the AB InBev GCC India's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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