Machine Learning Engineer
Granify
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Posted 6+ months ago
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!
We are seeking an experienced ML Engineer to join our Machine Learning team and maintain continuity of our critical AI-powered services.
This role combines hands-on model development with production system maintenance in a fast-paced, data-rich environment processing content at massive scale.
Core Responsibilities:
- Develop and enhance AI services including AI Insights pilot and AI Automated Answers using LLM/RAG architectures.
- Maintain and optimize our mission-critical Machine Moderation system using Python-based NLP models deployed on AWS (Lambda, ECS, SageMaker, SQS, SNS).
- Train, evaluate, and monitor machine learning models using orchestration tools (e.g. Flyte, Airflow).
- Manage ML pipelines on AWS with containerized services and CI/CD deployment via GitHub Actions.
- Implement streaming data processing using Kafka for real-time content moderation decisions.
- Monitor model performance and drift using observability tools (e.g. Arize AI).
- Collaborate with teams using Scala-based services and maintain API integrations for model serving.
- Conduct architectural reviews for ML pipeline design and Infrastructure as Code (Terraform).
- Research and implement novel LLM & NLP approaches for content moderation and consumer insights.
- Optimize batch and streaming ML workloads processing millions of reviews, questions, and answers daily.
Technical Requirements:
- Strong Python proficiency for ML model development and deployment.
- Experience with AWS cloud services (Lambda, ECS, ECR, SageMaker, MSK, SNS, SQS).
- Familiarity with ML orchestration platforms and CI/CD pipelines.
- Knowledge of streaming technologies (Kafka) and high-volume data processing.
- Experience with NLP, LLMs, and production ML monitoring tools.
- Ideally with strong a Software Engineering or Computer Science background.
- Willingness to work with Scala-based systems and learn as needed.
Key Technical Areas:
- Production ML system maintenance using cloud-native AWS infrastructure.
- Real-time and batch model serving with monitoring and alerting.
- Cross-functional API development and integration with existing services.
- Research and development of NLP applications for e-commerce content analysis.
#LI-EM1
Why join Bazaarvoice?
Customer is key
We see our own success through our customers’ outcomes.
We approach every situation with a customer first mindset.
Transparency & Integrity Builds Trust
We 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 Performance
Our 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 Imitation
We seek to innovate as we are not content with the status quo.
We embrace agility and experimentation as an advantage.
Stronger Together
We 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.
Please note: Candidates who are successful will be required to undergo a Basic level DBS (Disclosure and Barring Service) background check.
This job is no longer accepting applications
See open jobs at Granify.See open jobs similar to "Machine Learning Engineer" Work In Tech.
