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Senior Data Scientist at an AI services firm, working across the full data lifecycle—cleaning, analyzing, and building ML models using Python, SQL, Databricks, and cloud platforms (Azure/AWS), with regular client-facing onsite work in DFW.
Senior Software Engineer on a mission-critical Navy meteorology/oceanography data dissemination project, performing full SDLC work including Python-based ETL/ELT pipeline development, cloud/AWS containerized deployments, and geospatial system integration.
Full-stack developer maintaining and modernizing the SATIS industrial data-acquisition and processing platform, working across Python, Java/Spring, C++, PySide6, Eclipse RCP, with DevOps (Docker, GitLab CI/CD, Linux) at a French aerospace research lab.
Build and deploy ML systems that reconstruct 3D lane lines and maps from noisy sensor data (cameras, LiDAR, radar, GPS/IMU) to power autonomous truck perception and HD mapping.
Build and deploy ML models for 3D scene reconstruction, lane detection, and HD map creation using LiDAR/camera data to auto-generate high-quality annotations for autonomous trucks.
Build and scale Torc Sim, a simulation platform that replays and evaluates autonomy models against real and synthetic driving data, enabling teams to debug and improve ML models for self-driving trucks.
The Machine Learning Engineer will provide MLOps support for autonomous trucking model development, including debugging pipelines, maintaining infrastructure, and collaborating with engineering teams. The role focuses on ensuring reliable model deployment using Python, PyTorch, and various MLOps orchestration tools.
About CFD Research: Since its inception in 1987, CFD Research has delivered innovative technology solutions within the Aerospace & Defense, Biomedical & Life Sciences, Intelligence & Sensing, and Energy…
A 1-year contract Software Engineer role in Singapore supporting public-sector digital transformation, involving backend and/or frontend development across the full software lifecycle with Java, Python, Node.js, React, Docker and cloud technologies.
Fraud Data Analyst developing and refining fraud detection strategies by analyzing complex datasets, partnering with engineering and data science teams to build scalable automated fraud prevention solutions using SQL and large-scale data analysis.
Build and deploy AI-driven simulation tools for engineering customers, integrating ML models into production systems using Python, PyTorch, and fastAPI.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack…
Design and implement enterprise-scale risk models—market risk, volatility/correlation, stress testing, and auto-liquidation—for a crypto prediction market's clearing operation, writing production Python code and leveraging AI tools.
Data Scientist Co-op developing AI/ML analysis and application software in Python for US National Security and Dept of Defense customers at MORSE Corp.
Data Scientist/AI Specialist building data-driven solutions using Python and R, training ML models with TensorFlow and Scikit-Learn, and performing statistical analysis for US federal government clients.
Senior Machine Learning Engineer at PhysicsX builds and deploys AI models for engineering simulation, working directly with customers to integrate ML into production tools using Python, PyTorch, and cloud/on-prem pipelines.
Senior ML Engineer builds and deploys AI-driven simulation tools for engineering workflows, focusing on geometry-aware models and robust pipelines using Python, PyTorch, and fastAPI.
Agile Data Engineer consultant at SFEIR, a French IT consulting firm. You'll work on client data projects across the full data pipeline—ingestion, transformation, and usage—using Python, SQL, cloud platforms (GCP/AWS/Azure), Airflow, and Spark.
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