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Senior Machine Learning Engineer - AB InBev Growth Group
ML Engineer
Lead end‑to‑end ML solutions for a global consumer brand, building scalable pipelines on AWS, deploying models, and collaborating with cross‑functional teams to drive data‑driven growth.
About the role
Key Responsibilities
- Design, develop, and production‑grade ML models to solve business problems across B2B, DTC, and marketing domains.
- Build and maintain end‑to‑end data pipelines using Python, Spark, and AWS services (S3, Glue, SageMaker).
- Collaborate with data scientists, product managers, and engineers to translate business requirements into technical solutions.
- Deploy models to production, monitor performance, and iterate for continuous improvement.
- Document best practices, model artifacts, and performance metrics for internal knowledge sharing.
Requirements
- 5+ years of experience in machine learning engineering or related field.
- Strong proficiency in Python, SQL, and AWS cloud services.
- Hands‑on experience with deep learning frameworks (TensorFlow, PyTorch) and model deployment tools.
- Excellent problem‑solving skills and ability to work in a fast‑paced, cross‑functional environment.
- Effective communication skills in English, both written and verbal.
Skills
pythonmachine learningawsdeep learning