Pubblicata il 25 ago 2026 · Abbiamo verificato il 25 ago 2026 che è ancora attiva
At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia , India , Lithuania, France, Germany and the UK ! Senior ML/AI Engineer Full-Time Who we are: 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. Where AI/ML is key: Our solutions enable brands to connect with consumers and collect valuable user-generated content (UGC), at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve: Brands and retailers struggle to make real connections with consumers. It’s a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn’t attract new consumers, convert them, or earn their long-term loyalty. At Bazaarvoice, over the past 15 years our software has been at the core of commerce on the web for some of the world’s biggest brands and retailers. The result is an absolutely massive amount of data, at scales comparable to the most high-traffic individual websites out there. It is critical to the future success of Bazaarvoice that we continue to find ways to leverage that data and turn it into valuable insights for our clients, and better experiences for consumers. We’re looking for a Senior ML Engineer to join our Machine Learning team. You’ll work closely with a team of engineers to create AI/ML solutions on top of our extensive syndication network data. These features will increase our Annual Recurring Revenue (ARR), reduce client churn, and make our Bazaarvoice User Generated Content (UGC) central to AI Shopping. 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. Required Skills and Experience: Strong Python Proficiency: Excellent skills for developing, deploying, and maintaining our machine learning systems. Language Versatility: 5+ Years of Experience with statically-typed or JVM languages. Willingness to learn Scala is highly desirable. Cloud Engineering Skills: 5+ years experience with Cloud Platforms & Services, ideally AWS (e.g., Lambda, ECS, ECR, CloudWatch, MSK, SNS, SQS). Infrastructure as Code: 3+ Years Proficiency in IaC, particularly Terraform. Kubernetes Expertise: 5+ years of hands-on experience with managing clusters and deploying services. Data Orchestration: 5+ years of Experience with ML orchestration tools (e.g., Flyte, Airflow, Kubeflow, Luigi, or Prefect). CI/CD: 5+ Years of Expertise in pipelines, especially GitHub Actions and Jenkins. Networking: Knowledge of concepts and implementation. Streaming: Experience with Kafka and other streaming technologies. ML Monitoring: Familiarity with observability tools (e.g., Arize AI, Weights and Biases). NLP/LLMs: Experience with NLP, LLMs, and RAG systems in production, or strong desire to learn. CLI & Shell Scripting: Proficiency in scripting and command-line tools. APIs: Experience with deploying and managing production APIs. Software Engineering Best-Practices: Knowledge of industry standards and practices.
AWS AI Services: Hands-on experience with AWS SageMaker and/or AWS Bedrock. Data Processing: Experience with high-volume, unstructured data processing. ML
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