Staff Machine Learning Engineer

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 The Role We are seeking a highly experienced and strategic Staff Machine Learning Engineer to join our AI Data Science team This is a senior-most individual contributor role where you will be responsible for owning the end-to-end Machine Learning Development Lifecycle MDLC You will architect build and deploy production-grade scalable ML systems that transform massive volumes of user-generated content into actionable insights for our customers This position requires a proven track record of solving complex unstructured data challenges and a deep expertise in building robust high-performance systems on the AWS cloud What You ll Do Responsibilities Architect and Innovate Lead the design development and deployment of complex production-grade ML systems and data pipelines particularly for Natural Language Processing NLP and Generative AI applications Solve High-Complexity Problems Serve as a domain expert in the application of AI to solve core business challenges including sentiment analysis content moderation product recommendations and personalized search Technical Leadership Drive innovation by identifying and addressing high-impact technical challenges and long-standing technical debt within our ML and data infrastructure Mentorship and Standards Provide technical mentorship to other engineers on the team and beyond raising the bar for engineering excellence maintainability and best practices across the organization Cross-Functional Collaboration Collaborate closely with Data Scientists Product Managers and other engineering teams to translate complex business requirements into robust data-driven ML solutions Operational Excellence Implement and oversee MLOps practices including automated CI CD pipelines model monitoring and governance to ensure our systems are reliable reproducible and performant at scale Observability Implement robust observability frameworks to proactively detect and diagnose issues like model drift data quality anomalies and performance degradation in production What You ll Bring Required Skills Experience Experience Minimum of 8 years of experience in Machine Learning Engineering Applied Machine Learning or a related field with a proven track record of building and maintaining production models MLOps AWS Expert proficiency with the AWS ecosystem for MLOps including a deep understanding of how to architect solutions using key services like Amazon SageMaker S3 AWS Step Functions AWS CloudFormation Amazon CloudWatch Amazon Managed Streaming for Apache Kafka MSK and Amazon Bedrock Technical Expertise Deep expertise in building and deploying scalable solutions for NLP including experience with challenges such as sarcasm detection polysemy and managing multilingual data Experience with a variety of ML algorithms and models including traditional supervised and unsupervised learning deep learning and modern Generative AI techniques e g LLMs RAG Prompt Engineering Proficiency with ML frameworks and libraries such as PyTorch TensorFlow and scikit-learn with an ability to adapt and tune open-source or pre-trained models Software Engineering Observability A strong understanding of core software engineering principles including design patterns data structures testing security and version control Experience with continuous integration CI CD and regression testing You should be able to apply model observability practices for faster issue detection and root cause analysis Problem-Solving The ability to translate complex business problems into viable technical solutions and communicate findings to stakeholders in non-technical terms Software Engineering A strong understanding of software engineering principles including design patterns data structures testing security and version control LI-Hybrid 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 As part of our hiring process a background check will be conducted This will be done with your consent and will only include information relevant to the job