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Builds and maintains enterprise-grade data pipelines using Python, Pandas, and NumPy to ingest, process, and transform large datasets for scalable analytics and business insights.
AIML Cloud Developer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard
The Software Engineer will design and optimize data ingress/egress pathways and analytics workloads using Python, Java, Apache Spark, and Apache Airflow. This role requires an active TS/SCI with Polygraph clearance.
Develop and extend simulation tools and models in C++ and Python for complex systems, integrating hardware/software interfaces and validating results.
The Principal Generative AI Engineer will lead the design and deployment of LLM-based automation and intelligent operations platforms within Citi's Consumer Operations Technology division. The role focuses on architecting RAG pipelines, implementing AI governance frameworks, and ensuring production-grade reliability for financial services applications.
Designs and builds scalable Salesforce data pipelines, models, and integrations to ensure clean, secure data for analytics and CRM operations.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Lead embedded software engineer designing and developing C/C++ applications and algorithms (signal processing, real-time control, sensor fusion/tracking) for medical devices.
Senior Software Analyst/Engineer analyzing the performance of the Missile Defense Agency's C2BMC-G space command and control system, using Python, Bash, and JupyterLab for data analysis and automation of test data post-processing pipelines. On-site in Colorado Springs, CO.
Build and standardize ML Ops services, data pipelines, and automation in Python and Java on AWS/Databricks to support model deployment, monitoring, and AI/ML lifecycle governance at a financial services firm.
Build and deploy ML/AI models for logistics optimization, fleet analytics, and real-time decision systems using Python, Google Cloud, Kafka, and LLMs.
Oversees data product development for fintech applications, ensuring data quality, security, and usability for analytics/AI. Bridges business needs with technical teams to modernize data infrastructure, document requirements, and enable natural language querying and AI integration.
Lead end-to-end AI/ML development for payments, building generative and agentic systems on cloud infrastructure while ensuring scalable, secure, and compliant production deployment.
Builds and maintains data pipelines using SSIS/Fabric to extract, transform, and load data for business reporting; ensures data quality and collaborates with analysts to deliver dashboards and insights.
The Lead Data Scientist will develop and implement advanced machine learning and statistical models to analyze aftermarket data from connected equipment. This role involves leading cross-functional projects to drive business insights and requires expertise in Python and cloud-based analytics.
The Software Engineer will support Army aviation data initiatives by applying AI/ML principles to big data storage, manipulation, and analysis. The role involves modeling and predicting outcomes using machine learning frameworks and statistical analysis tools.
The Senior Data Scientist will develop predictive models and perform advanced statistical analysis on healthcare datasets to improve patient outcomes and clinical workflows. The role requires expertise in Python, SQL, and big data frameworks to build AI-powered healthcare applications.
We're growing fast and pushing boundaries across the EU. What began as a local Croatian idea has evolved into one of the leading European fintech platforms that brings a wide range of financial services to millions…
COMPANY OVERVIEW We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new…
Mid-level Data Scientist building machine learning and applied AI solutions for clients using Python, Databricks, and cloud platforms (GCP, Azure) in a remote, Americas-collaborative role.
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