About Bazaarvoice 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 in the , , , Lithuania, France, Germany and the !
Key Responsibilities
Design, implement, and maintain robust MLOps platforms and tooling for both batch and streaming ML and manage monitoring and observability solutions for ML DevOps practices, including CI/CD pipelines and Infrastructure as Code (IaC).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 in feature engineering and model optimization to improve ML system in the full ML lifecycle, from data preparation to model deployment and and refactor existing systems for improved performance and reliability.
Participate in technical initiatives and best practices in both MLOps and ML Skills and ExperienceStrong Python Proficiency: Excellent skills for developing, deploying, and maintaining our machine learning Versatility: 3+ Years of Experience with statically-typed or JVM languages. Willingness to learn Scala is highly Engineering Skills: 3+ years experience with Cloud Platforms & Services, ideally AWS (e.g., Lambda, ECS, ECR, CloudWatch, MSK, SNS, SQS).Infrastructure as Code: Beginner- or intermediate-level proficiency in IaC, particularly Expertise: 3+ years of hands-on experience with managing clusters and deploying Orchestration: 3+ years of Experience with ML orchestration tools (e.g., Flyte, Airflow, Kubeflow, Luigi, or Prefect).CI/CD: 3+ Years of Expertise in pipelines, especially GitHub Actions and : Knowledge of concepts and : Experience with Kafka and other streaming 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 & Shell Scripting: Proficiency in scripting and command-line : Experience with deploying and managing production Engineering Best-Practices: Knowledge of industry standards and QualificationsAWS AI Services: Hands-on experience with AWS SageMaker and/or AWS Processing: Experience with high-volume, unstructured data Applications: Familiarity with NLP, Computer Vision, and traditional ML Migration: Previous work in refactoring and migrating complex Certification: AWS Solution Architect Professional or Associate QualitiesPassionate about building developer-friendly platforms and in a terminal-based development about creating production-grade, robust, reliable, and performant afraid to dive into and improve complex existing player who works well with ML Engineers, Data Scientists, and problem-solving and communication skills.
Why join Bazaarvoice? Customer is keyWe see our own success through our customers’ outcomes.  We approach every situation with a customer first mindset. Transparency & Integrity Builds TrustWe believe in the power of authentic feedback because it’s in our DNA. We do the right thing when faced with hard choices. Transparency and trust accelerate our collective performance. Passionate Pursuit of PerformanceOur energy is contagious, because we hire for passion, drive & curiosity. We love what we do, and because we’re laser focused on our mission. Innovation over ImitationWe seek to innovate as we are not content with the status quo. We embrace agility and experimentation as an advantage. Stronger TogetherWe bring our whole selves to the mission and find value in diverse perspectives. We champion what’s best for Bazaarvoice before individuals or teams.  As a stronger company we build a stronger community. Commitment to diversity and inclusion Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers.