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Lead Software Engineer (Sitecore Stream)
SitecoreGreecefull_timeVerifiedPosted 25 Feb 2025
About the role
About Us: Sitecore’s mission is to provide cutting-edge DXP solutions that enable the world’s greatest brands to craft truly unforgettable experiences for their customers. A highly decorated industry leader, Sitecore brings content, commerce, and data into one connected platform that delivers millions of digital experiences every day. Thousands of blue-chip companies, including American Express, Porsche, Starbucks, L’Oréal, and Volvo Cars, rely on Sitecore to provide more engaging, personalized customer experiences. Under the leadership of our new product-centric CEO, we are poised to continue to push the boundaries of marketing technology and shape the future of customer engagement. Learn more at Sitecore.com. About the Role: We are looking for a Lead Python Engineer who thrives on building systems leveraging AI and machine learning. As an engineer and expert in machine learning applications, you will be working as part of a team to define and execute GenAI/AI solutions. You will proactively drive GenAI research in the Engineering team and collaborate with product management teams to operationalize your solutions into product features. What You’ll Do:
- Work with implementation teams to define, design, prototype and validate GenAI / AI and advanced analytics solutions focusing on customer outcomes and business value
- Analyze customer data sets to define/determine algorithms that enable highly relevant personalization, predictions, and other insights
- Work across the organization to enhance data collection, build ETLs, data processing and validation
- Help build and maintain a rigorous experimental platform and establish data-driven methodologies for offline and online testing
- Build and maintain robust systems with a focus on quality and customer outcomes.
- Strong experience in software development using Python
- Architectural understanding of web applications, including performance, quality and security aspects
- Knowledge of AI & Machine Learning methods and industry applications
- Exposure to LLM models
- Experience with FastAPI, Flask, Pydantic and other frameworks
- Experience with Docker and RabbitMQ/Eventhub
- Experience with relational and non-relational databases.
- Experience in applying ML and AI to solve business-critical problems.
- Experience in contextual help, GenAI / AI assistant is desired.
- Affinity in either recommender systems or personalization is desired.
- Experience building solutions in Azure.
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