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Builds and maintains AI-driven data products for travel platforms, designing scalable cloud-native systems and pipelines to power analytics, reporting, and personalized travel experiences.
Build and maintain high-volume healthcare data systems that process millions of transactions daily, using languages like C# and Java, while integrating responsible AI tools to improve reliability and patient outcomes.
Develops AI features and cloud-native applications for government intelligence systems, integrating data streams and applying DevSecOps practices in an agile environment.
Senior AI software engineer building generative-AI features for government systems in Springfield, VA, using Python/Java/Scala, cloud-native stacks, and DevSecOps practices.
Builds and maintains scalable data pipelines for Blackline Safety’s IoT-enabled safety ecosystem, processing real-time and batch datasets from global devices to ensure accuracy, security, and timely delivery for product and engineering teams.
Build and own Snowflake’s distributed billing platform, metering AI product usage and shaping pricing models while collaborating with finance, product, and AI teams.
Build and deploy ML systems for healthcare analytics, automating model lifecycle management, CI/CD, and cloud infrastructure to improve patient care and operational efficiency.
Leads user understanding for Netflix’s ad-supported tier by building ML systems that analyze multimodal signals (content, viewing behavior) to improve ad targeting, ranking, and bidding. Shapes data strategy and partners across Ads ML teams.
Oversees data infrastructure, pipelines, and governance for a major financial institution, ensuring secure, scalable, and efficient data collection, storage, and analysis to drive business insights and operational efficiency.
At Acxiom, our vision is to transform data into value for everyone. Our data services enable marketers to recognize, better understand, and deliver highly applicable messages to consumers across any available channel.…
Designs and builds scalable data platforms and pipelines (GCP, AWS, Azure) using Python, Scala, Spark, and Kafka to transform complex datasets into actionable insights for clients like KLM and KNMI.
The Staff Data Scientist will lead projects and mentor junior staff while building complex statistical models and production-ready code to support global security initiatives. The role utilizes Python, Spark, and advanced statistical techniques to solve ambiguous problems within a financial services environment.
Position Title Big Data Senior Developer, Marketing & Advertising Data (French Services) (Telework/Hybrid) Status Of Employment Contractee Long-Term (Durée déterminée) Position Language Requirement French Language…
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand.…
Sony Interactive Entertainment is seeking a Staff Software Engineer – Data to help design and evolve the Real-Time Analytics Platform at PlayStation. You will lead distributed systems, mentor engineers, and collaborate…
The Senior Engineer will design and build scalable APIs and SDKs for Generative AI models within a financial services environment. The role focuses on optimizing training and inference pipelines, implementing AI safety guardrails, and ensuring high-performance data-intensive system architecture.
The Junior Data Engineer will design and maintain data systems, build pipelines, and deploy machine learning models to support data science and engineering teams. The role involves working with SQL, Python, and Azure to transform data for analysis and optimize data architecture.
The Data Engineer designs and maintains data systems, builds ETL pipelines, and deploys machine learning models to support data initiatives. The role involves collaborating with software engineers and data scientists to optimize data architecture and ensure data integrity.
The Data Analyst will design, deploy, and maintain end-to-end data, AI/ML, and cloud solutions while managing enterprise data platforms. The role involves developing ETL processes and collaborating with stakeholders to implement data-driven solutions using Agile methodologies.
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