Full-Time

Staff Mlops Engineer

Confirmed live in the last 24 hours

Bazaarvoice

Bazaarvoice

1,001-5,000 employees

User-generated content for eCommerce marketing

Consumer Software
Consumer Goods

Senior, Expert

Belfast, UK

Hybrid position based in Belfast.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
LLM
Kubernetes
Python
Airflow
Apache Kafka
AWS
Scala
Jenkins
Terraform
Natural Language Processing (NLP)

You match the following Bazaarvoice's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Strong Python Proficiency: Excellent skills for developing, deploying, and maintaining our machine learning systems.
  • Language Versatility: Experience with statically-typed or JVM languages. Willingness to learn Scala is highly desirable.
  • Cloud Engineering Skills: Extensive experience with Cloud Platforms & Services, ideally AWS (e.g., Lambda, ECS, ECR, CloudWatch, MSK, SNS, SQS).
  • Infrastructure as Code: Proficiency in IaC, particularly Terraform.
  • Kubernetes Expertise: Strong hands-on experience with managing clusters and deploying services.
  • Data Orchestration: Experience with ML orchestration tools (e.g., Flyte, Airflow, Kubeflow, Luigi, or Prefect).
  • CI/CD: 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.
Responsibilities
  • Design, implement, and maintain robust MLOps platforms 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.
  • 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 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.
Desired Qualifications
  • 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.

Bazaarvoice enhances consumer experiences and drives sales by leveraging user-generated content, such as customer reviews, ratings, and visual content. The company provides tools that allow retailers and brands to collect, manage, and distribute this content, integrating it into their online stores and marketing strategies. Bazaarvoice stands out by offering a powerful content engine that amplifies the reach of client content across a vast retail network and integrates with social media platforms. The goal is to empower brands and retailers to use customer opinions and visual content to inspire confidence and increase sales.

Company Stage

IPO

Total Funding

$19.4M

Headquarters

Austin, Texas

Founded

2005

Growth & Insights
Headcount

6 month growth

4%

1 year growth

4%

2 year growth

4%
Simplify Jobs

Simplify's Take

What believers are saying

  • AI-driven personalization tools enhance user experience and increase engagement.
  • Growing concern over fake reviews boosts Bazaarvoice's authenticity verification processes.
  • Partnership with Attentive expands communication channels for personalized consumer interactions.

What critics are saying

  • Fake reviews and fraudulent content threaten Bazaarvoice's credibility and consumer trust.
  • Economic downturn reduces consumer spending on non-essential items, impacting demand.
  • Integration of Granify introduces risks in aligning AI-driven contextualization with existing systems.

What makes Bazaarvoice unique

  • Bazaarvoice leverages user-generated content to enhance consumer experiences and drive sales.
  • The company offers a powerful content engine that amplifies client content reach.
  • Strategic partnerships with social media platforms turn visual content into actionable purchase points.

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Benefits

Mental wellness matters - All team members get access to the Modern Health platform, which provides resources for personal/professional coaching, therapy, and meditation.

Improve your community and b:generous - We believe in investing our time and money to support our communities globally.

Embrace wellness and reward others - Through our YouEarnedIt platform, achievements, wellness, volunteering, and coaching is celebrated and rewarded, and everyone has a voice.

Paid sabbaticals - We reward employees for hard work. After five years with Bazaarvoice, you can apply for an eight-week paid sabbatical.

Recognition-based culture - We provide opportunities for annual merit rewards, company bonus schemes, and growth within your role.

Flexible work from home policies - The working world has changed. So have we.