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Intern software engineer collaborates on embedded software for real-time tactical radio systems, using C++, Python, and RTOS across Windows/Linux.
Who Are We? RZR is an AI-native advertising platform built for the next era of performance marketing. We operate at the intersection of machine learning, programmatic media, and full-funnel mobile growth, powering…
Build and scale low-latency data pipelines and distributed systems to deliver real-time security insights using cloud data platforms like Snowflake and Databricks.
Builds and optimizes cloud-native, mission-critical analytics platforms using Java/Kubernetes/Hadoop/Accumulo for national security data processing, collaborating with cross-functional teams to solve complex technical challenges.
Overview Systems Engineer Warrenton / Tysons, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable…
Applies machine learning and advanced analytics to solve supply chain problems including demand forecasting, route optimization, and inventory management, using Python, SQL, and big data tools.
Builds and maintains big data pipelines, processes large-scale data using Hadoop/Spark, and develops/optimizes ETL workflows with Python/SQL. Supports existing systems and implements new requirements in a remote Agile environment.
Build predictive models and analytics systems using Python, R, and SQL; lead a team of data scientists and collaborate with engineering/product teams.
Builds and optimizes data pipelines using PySpark, SQL, and the Hadoop ecosystem to process large datasets and support business analytics.
Mô tả công việc: Nội dung công việc ● Implement, monitor, and maintain data pipelines for market, transaction, reference, and other data. ● Perform all needed data cleansing and transformation to improve data quality.…
Candidates must already possess an active Top Secret/SCI to be considered. Summary: • Manage cloud infrastructure and automate deployment processes. • Develop solutions using Kubernetes, AWS, Terraform, Ansible,…
Lead algorithm development and analyze complex datasets for clients in sectors like national intelligence using machine learning, NLP, and statistical analysis.
A mid-level Data Scientist who provides statistical and mathematical support to analyze data, design analysis projects, and generate insights for leadership to inform strategic decisions, using tools like SQL, Pandas, and Jupyter Notebook.
The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure for Singapore government agencies. The role involves data extraction, transformation, and integration using cloud-based tools and big data frameworks.
Senior Data Scientist designing and implementing ML solutions for anomaly detection, root cause analysis, and predictive models on terabytes of streaming datacenter network data using Python, Golang, and big data tools like Spark and Flink.
The Lead Software Engineer will architect and build large-scale, cloud-native marketing platforms using Java, Spring Boot, AWS, and data processing technologies. The role involves leading engineering teams, driving cloud modernization, and integrating GenAI to enhance platform performance and development efficiency.
The Senior Software Test Engineer will design and execute manual and automated test plans for a large-scale big data analytics platform supporting U.S. Government intelligence missions. The role requires expertise in testing web-based, distributed systems using tools like Python, JavaScript, and various automation frameworks within an Agile environment.
Develops and maintains deployment tooling (APIF/VCPCTL) for distributed server apps, automating packaging, validation, and installation on Virtual Compute Platforms using Python, Ansible, and Azure Pipelines.
Full stack developer supporting a backend team on middleware and backend services, using Java, Solr/Elasticsearch, big data tools (Hadoop, Spark, HBase), and AWS in a cleared government environment.
Lead the design and build of scalable batch and real-time data pipelines using Python, SQL, and cloud platforms like AWS/Azure/GCP for analytics and AI solutions.
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