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Builds and scales production ML systems for Warner Bros. Discovery’s media brands, focusing on identity resolution, audience intelligence, and content affinity. Owns end-to-end ML pipelines, feature stores, and agentic AI workflows on Databricks/Snowflake/AWS to drive advertising yield, personalization, and engagement.
Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers…
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed…
Senior Staff Software Engineer responsible for building next-generation infrastructure and platforms at LinkedIn, including service delivery, data storage, graph infrastructure, analytics, and AI/ML systems. Works with distributed technologies, Kubernetes, and open-source projects like Apache Kafka and Pinot.
Senior Staff Software Engineer on LinkedIn's AI Infrastructure team, responsible for designing and optimizing large-scale distributed training and serving systems for AI models (e.g., LLMs, recommendation engines), using frameworks like PyTorch, TensorFlow, Horovod, and DeepSpeed to scale up to hundreds of billions of parameters and high-throughput GPU inference.
Design, build, and maintain scalable big data processing pipelines using Apache Spark, Databricks, and cloud platforms for an IRS project requiring MBI clearance and GFE.
Senior Data Engineer working on large Snowflake and ETL/ELT projects for NAVARA, combining data architecture with hands-on development in Python/Scala, Snowflake, and cloud platforms (Azure/AWS/GCP).
A Senior Data Engineer at DEPT® who translates business goals into concrete solutions, designs data systems and pipelines, and works with various databases and cloud platforms.
As a Senior Data Engineer at NAVARA, you design and build ETL/ELT processes, optimize cloud-based data pipelines, access data from various sources, manage AWS/Azure environments, and ensure data quality for analysis, focusing on Snowflake projects and ML integration.
Lead a team building scalable cloud data platforms and pipelines for Apple’s AI and analytics needs, using Python/Scala/Java, Spark, Kafka, and cloud services.
Builds and maintains full-stack web applications (frontend to API/data layers) with end-to-end ownership, including AWS infrastructure, CI/CD, and production debugging.
Designs and builds scalable data pipelines and cloud data platforms to process high-volume financial transactions using Python, Spark, and AWS.
Senior Data Engineer designing and developing scalable cloud-native data integration processes on GCP, leveraging BigQuery, Dataflow, and Dataproc to optimize data architectures for global clients.
Data Engineer maintaining and developing a DataHub using Scala, Spark, Hadoop, and cloud technologies, responsible for data pipelines, CI/CD, and migrating Hadoop infrastructure to cloud/Kubernetes.
Builds and maintains full-stack .NET applications for global fintech clients, collaborating with teams to design, develop, and improve software using C#, Angular/React, and Agile practices.
We are still looking for the very Top Talent…and we would be delighted if you were to join our team! More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place…
Solutions Architect at Databricks designs and advocates for the Data Intelligence Platform, engaging with media and gaming customers to solve complex data challenges and drive adoption through technical expertise and workshops.
Day-to-day tasks include modeling/visualizing data, developing ML models, hypothesis testing, data collection, feature engineering (time series), model selection, A/B testing, and supporting IT/business solutions. Core technologies: Python, SQL.
Builds real-time search and RAG (Retrieval-Augmented Generation) systems for Siri and Apple’s search products, focusing on query understanding, document retrieval, ranking, and ML model integration to deliver instant user experiences like weather, flights, sports, and stock data.
Azure Data Engineer role focusing on ETL processes using Azure DataFactory, Databricks, and Spark with Python/Scala, plus Oracle development and data warehouse/datalake projects.
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