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Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built…
Job Title: AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: None Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local Anticipated Posting…
Job Title: Cloud Data Scientist- SOCEUR Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular-Long Term Assignment Percentage of Travel Required: Up to 10% Type…
Job Title: AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular-Long Term Assignment Percentage of Travel Required: Up to 10% Type of Travel:…
The Data Scientist at EXLService.com, LLC in New York, NY, will be part of the digital team within EXL Health building healthcare cloud platforms. Develop and convert legacy processes to AI-based healthcare products.…
About Samsung Austin Semiconductor Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are…
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At…
A hands-on, early-career Optical System Integration Engineer joins Lyte AI's System Optics Team to build, align, and validate optical subsystems (lenses, lasers, detectors) and characterize performance metrics like beam profile, M², and wavefront error. Core tools include free-space optical alignment techniques and Python for test automation, instrument control, and data analysis.
Data Analyst II at Inter builds and maintains dashboards, writes SQL and Python analyses, and supports international product decisions using Tableau, SQL, and Python.
Leads Inter's Decision Modelling team (Brazil's first digital bank) building and maintaining credit and collections models — approval/recovery scores, limit optimization, income estimators. Day to day: technical leadership, model governance and production monitoring, MLOps, and stakeholder alignment using Python, SQL, scikit-learn, MLflow/Airflow and cloud platforms.
Owns fluid system prediction models for space-satellite infrastructure, using 1D fluid network modeling, CFD, and Python/MATLAB to analyze pressure drop, flow capability, and thermal performance of propulsion and vehicle fluid systems across design, test, and flight.
Senior/staff data engineer designing scalable ETL/ELT pipelines for structured and unstructured data (sensor, image) and building agentic AI orchestration workflows (MCP, LangChain, multi-agent systems) at semiconductor company Infineon in Spain, collaborating with data scientists on AI and advanced analytics initiatives.
Designs and maintains Python-based systems software for scientific instruments and data pipelines in Linux environments, focusing on reliability, testing, and cross-team collaboration.
Develops advanced models and algorithms for detecting, attributing, and quantifying trace gases/emissions using spectroscopic data; bridges research and engineering to improve Picarro’s industrial emissions monitoring solutions.
Build and deploy ML models to optimize driver assistance services using Python and AWS SageMaker, collaborating with cross-functional teams to improve operations and customer satisfaction.
Develops and deploys C++ algorithms for inertial navigation and sensor fusion in autonomous vehicles, improving positioning accuracy using real-world driving data and advanced estimation techniques.
Develops and deploys machine learning models to improve autonomous driving behaviors, ensuring safety and performance at scale using C++ and Python.
Data Scientist who owns the bridge between wet-lab science, automation, software, and AI at LILA Sciences in Cambridge, MA — translating bench experiments into analyses, building reproducible Python-based bioinformatics and data pipelines, and integrating them with the company's data lake and AI platform.
Description Purpose Contributes to the overall success of the Credit Risk Technology team ensuring specific individual goals, plans, initiatives are delivered in support of the team’s business strategies and…
Build and deploy a Python-based EO/IR object-detection app into Kubernetes, integrating research code with operational systems using Protocol Buffers and container tooling.
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