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Forward Deployed Engineer - Physical AI Cloud Platform
Senior engineer embedded with customers to design, build, and deploy cloud infrastructure that runs physical AI workloads like simulation, training, and inference on Nebius's AI cloud platform.
Partner Solutions Architect
Designs and implements AI/ML cloud integrations with strategic partners, enabling joint customers to deploy GPU-accelerated solutions efficiently using modern frameworks and cloud infrastructure.
Senior Machine Learning Engineer, Model Training and Reinforcement Learning
Senior ML Systems Engineer builds and maintains distributed AI training infrastructure for large-scale model training and reinforcement learning experiments using PyTorch, Megatron-LM, and DeepSpeed in Palo Alto.
Senior Data Analyst (Hardware Automation)
Senior Data Analyst at Nebius builds and owns data pipelines, dashboards, and analytics for automating global hardware infrastructure, using Python, SQL, and cloud tools to drive operational decisions.
Forward Deployment Engineering Manager
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through…
DevOps Engineer (Agentic Search)
Build and run the Kubernetes-based infrastructure that powers Tavily’s agentic search API, including CI/CD, observability, and multi-region deployments handling billions of daily events.
Technical Project Manager
Technical project manager leads hospital pharmacy data integrations, validating and loading EMR/ADC data into the Bluesight platform while coordinating internal teams and customer stakeholders.
Informatica Cloud (IICS) Data Engineer
Senior-level Data Engineer building mass ingestion pipelines and data warehouse models using Informatica Cloud (IICS), integrating Oracle and RESTful API sources into Snowflake data lakes via ELT processes.
Software Engineer (Ray Data)
Work on Ray Data, a Python-native data processing engine for AI workloads, improving performance, scaling data pipelines across heterogeneous environments, and building data loading solutions for production ML training.
Sr. Python Developer
Builds and maintains Python-based data pipelines and Power BI dashboards to migrate and integrate systems for the NC Chief Medical Examiner’s office.
Data Scientist
Onsite Data Scientist in Charlotte, NC on contract, focused on data analysis, statistical modeling, and machine learning using Python and SQL.
Data Engineering Intern – Platform & Product
Intern helping build and test Snowflake data pipelines using SQL and Python. You will contribute to AI semantic layers and deliver trusted datasets for analytics.
Information Governance Systems Analyst
Administer and maintain information governance systems (primarily iManage) at a law firm, ensuring data integrity, processing data with SQL and Python, and supporting system integrations and reporting.
Cloud Data Test Engineer
Designs and runs automated tests for cloud-based data pipelines and warehouses, validating data accuracy, completeness, and transformations using SQL, PySpark, and Azure Synapse.
Power BI & Data Pipeline QA Engineer
Validates data pipelines, ETL/ELT processes, and Power BI dashboards to ensure data accuracy and high quality for business users, collaborating with teams to resolve issues.
Data And Analytics Test Engineer
Validates data pipelines, analytics solutions, and Power BI dashboards to ensure accuracy and reliability for business users, including ETL testing and defect management.
Data & Analytics Test Engineer
Validates data pipelines, analytics solutions, and Power BI dashboards to ensure accuracy and reliability for business users, including testing ETL processes and resolving defects collaboratively.
Data & Analytics Quality Assurance Engineer
Validates data pipelines, analytics tools, and Power BI dashboards for accuracy, ensuring ETL/ELT processes and cross-source data reconciliation meet quality standards through testing.
Data Engineer - Mid
Builds and maintains data pipelines and databases to enable real-time analytics for insurance pricing models in Property & Casualty products, collaborating with business leaders to solve complex data challenges using SQL, Python, and dimensional modeling.