Senior Machine Learning Engineer
Role Summary
Join Bazaarvoice as a Senior Machine Learning Engineer in Belfast, Germany, and help brands connect with consumers through innovative AI solutions.
About the Organisation
In an era of rising AI agents and consumer skepticism, Bazaarvoice sources, verifies and amplifies authentic consumer ratings, reviews and visual content at scale, making your products discoverable, trusted, and chosen.
We source, verify, and amplify authentic product ratings, reviews, photos, and videos at scale. Driving reach, traffic, and conversion.
We make products discoverable, trusted, and chosen, by shoppers and by AI.
We are the world’s most trusted network of authentic consumer voices.
Key Responsibilities
- Design, implement, and maintain robust AI/ML solutions and tooling for both batch and streaming ML pipelines.
- Develop and manage monitoring and observability solutions for ML systems.
- Lead DevOps practices, including CI/CD pipelines and Infrastructure as Code (IaC).
- Architect and implement cloud-based solutions on AWS (or similar public cloud providers).
- Collaborate with ML Engineers and Data Scientists to develop, train, and deploy machine learning models.
- Engage in feature engineering and model optimization to improve ML system performance.
- Participate in the full AI/ML lifecycle, from data preparation to model deployment and monitoring.
- Optimize and refactor existing systems for improved performance and reliability.
- Drive technical initiatives and best practices in both MLOps and ML Engineering.
Minimum Requirements
- AWS AI Services: Hands-on experience with AWS SageMaker and/or AWS Bedrock.
- Data Processing: Experience with high-volume, unstructured data processing.
- ML Applications: Familiarity with NLP, Computer Vision, and traditional ML applications.
- System Migration: Previous work in refactoring and migrating complex systems.
- AWS Certification: AWS Solution Architect Professional or Associate certification.
- Advanced Degree: Master's degree in ML / AI / Computer Science.
Eligibility Criteria
No specific eligibility statements found; sponsorship details are unclear.
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