Artificial Intelligence Engineer

5 - 9 years

0 Lacs

Posted:17 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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 Title:

Location:

Reporting to:


PURPOSE OF ROLE

We are seeking a professional with expertise in applying Generative Artificial Intelligence to join our procurement technology project team. As a team member, you will be responsible for developing and implementing innovative solutions globally, primarily using generative AI technologies, directly contributing to optimize our business operations and transform customer experience through advanced technological solutions.


KEY TASKS AND ACCOUNTABILITIES

  • Design, develop, and maintain

    end-to-end software solutions using generative AI technologies and machine learning within the logistics technology department
  • Utilize low/no-code tools as accelerators for development and solution implementation
  • Basic understanding of

    Model Context Protocol (MCP)

    and its role in enabling structured data exchange between applications and ML models
  • Develop and deploy applications using

    Python

    and

    Machine Learning (ML) stack

    to automate invoice validation, anomaly detection, and data analysis
  • Collaborate with cross-functional teams to gather requirements, propose technical solutions, and align deliverables with business needs
  • Implement and maintain

    deployment pipelines

    , leveraging

    Azure DevOps

    for CI/CD automation
  • Ensure solutions meet compliance, security, and performance standards
  • Conduct

    code reviews

    and enforce best practices in software engineering
  • Maximize scalability, performance, usability, and reliability of developed applications
  • Document technical designs, workflows, and processes for both technical and non-technical stakeholders
  • Support and troubleshoot production issues, ensuring minimal downtime and quick resolution
  • Systematically analyze continuous improvement opportunities in already developed systems
  • Demonstrate initiative for autonomous learning and constant updates on emerging technologies
  • Actively participate in Scrum events and ensure commitment to agreed schedules and deliveries


QUALIFICATIONS, EXPERIENCE, SKILLS

Education:

  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field.


Experience:

  • 5 to 9 years of hands-on experience as a Software Engineer, with a proven track record of delivering high-quality, scalable, and maintainable solutions in a collaborative team environment.


Technical/Functional Skills:

Mandatory Skills:

  • Strong proficiency in Python
  • Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Familiarity with containerization (Docker, Kubernetes)
  • Experience in application development and deployment in production environments
  • Strong problem-solving skills and ability to work with large datasets
  • Basic understanding of Model Context Protocol (MCP)


Preferred (Good to have) Skills:

  • Experience in the Consumer-Packaged Goods (CPG) sector
  • Previous work under Agile methodology and Scrum framework
  • Familiarity with

    Azure DevOps

    and CI/CD pipelines
  • Knowledge of procurement systems and processes
  • Ability to work collaboratively in a fast-paced, agile environment
  • Familiarity with

    SAP

    systems


And above all of this, an undying love for beer!

We dream big to create future with more cheers.

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