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.
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Job Title: Senior Data Scientist

Location: Bangalore

Reporting to: Senior Manager Analytics

Purpose of the role

We seek a highly skilled Senior Machine Learning Engineer / Senior Data Scientist to design, develop, and deploy advanced machine learning models and systems. The ideal candidate will have deep expertise in machine learning algorithms, data processing, and model deployment, with a proven track record of delivering scalable AI solutions in production environments. This role requires strong technical leadership, collaboration with cross-functional teams, and a passion for solving complex problems.

Key tasks & accountabilities
Model Development: Design, develop, and optimize machine learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics.
Data Pipeline Management: Build and maintain robust data pipelines for preprocessing, feature engineering, and data augmentation to support model training and evaluation.
Model Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance using tools like Docker, Kubernetes, or cloud platforms preferably Azure.
Research and Innovation: Stay updated on the latest advancements in machine learning and AI, incorporating state-of-the-art techniques into projects to improve performance and efficiency.
Collaboration: Work closely with data scientists, software engineers, product managers, and other stakeholders to translate business requirements into technical solutions.
Performance Optimization: Monitor and optimize model performance, addressing issues like model drift, bias, and scalability challenges.
Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices for software development and version control (e.g., Git).
Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation within the team.

3. Qualifications, Experience, Skills

Level Of Educational Attainment Required

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. PhD is a plus.

Previous Work Experience

5+ years of experience in machine learning, data science, or a related field.
Proven experience in designing, training, and deploying machine learning models in production.
Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).

Technical Skills Required

Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face.
Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning, reinforcement learning, optimization).
Experience with big data technologies (e.g., Hadoop, Spark, or similar) and data processing pipelines.
Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD for ML workflows.
Knowledge of software engineering principles, including object-oriented programming, API development, and microservices architecture.

Other Skills Required

Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
Experience with generative AI models or large language models (LLMs).
Familiarity with distributed computing or high-performance computing environments.

And above all of this, an undying love for beer!
We dream big to create future with more cheers

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