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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Engineer SME based in the United States. The AI/ML Engineer SME will serve as a…
Навыки: ORM, Нейронные сети, TensorFlow, Git, PostgreSQL, Keras, PyTorch, NumPy, Pandas, Python. Квалификация: Senior. Специализации: ML разработчик. True Engineering – аккредитованная российская ИТ-компания,…
Overview The Staff Gen AI Scientist will apply knowledge and experience to real world problems and seek to improve health quality outcomes and reduce the cost of healthcare. With access to dedicated on premise and…
Promise Robotics is pioneering Physical AI for homebuilding — a rapidly growing, venture‑backed company bringing together AI, robotics, and manufacturing to help the homebuilding industry meet the ... We’re looking for…
Architect scalable AI/ML solutions for an enterprise modernization initiative, focusing on cloud infrastructure, MLOps, and the full ML lifecycle.
Build and maintain Power BI dashboards, Python data pipelines, and ML models for a major EU client, ensuring data quality and security while collaborating with business teams.
Design and implement AI-driven intelligent manufacturing systems, robotics, and IoT solutions for EU-funded R&D projects, focusing on production-line optimization and green technologies.
Job Responsibilities Design and develop AI/ML models using Python, TensorFlow, PyTorch, or similar frameworks. Work with structured and unstructured data to build intelligent systems. Develop and implement models for…
Worker Type Supplemental Job Description Summer Internship Program Our paid Summer Internship Program is designed to provide students with an immersive, hands-on experience within the aerospace and defense industry.…
Summary Vertical Relevance is looking for an AWS Machine Learning Consultant, to join our team as a full-time employee in our New York or New Jersey office or work remotely. This person is responsible for the…
Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our…
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. The Role and Team: As an Audio Machine Learning Data Engineer on the…
We don’t just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast,…
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading…
This AI Specialist designs and delivers AI solutions, focusing on foundation and large language models, leveraging tools like TensorFlow, PyTorch, Keras, and Hugging Face. The role involves building cognitive solutions for data analysis and managing projects from research to production, utilizing Python and cloud platforms.
Location: Europe only Employment type: Full-time, Remote About the Role We're looking for a Middle/Senior Generative AI / Machine Learning Engineer to help build production-grade AI systems from classical ML and…
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…
Data Scientist applying ML to marketing problems (MMM, forecasting, attribution) at a media advisory firm in Barcelona. Day to day involves building models in Python, writing SQL, managing ELT pipelines, and presenting findings to clients.
Builds and improves ML models (NLP, tabular data, and optionally CV) using Python, PyTorch/TensorFlow, and SQL; writes production-ready code and translates business needs into ML tasks.
Build and maintain ML infrastructure including data pipelines, ETL workflows, and model deployment using Python, Docker, Kubernetes, GCP/Azure, and orchestration tools like Airflow or Kubeflow.
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