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Expérience avec les services infonuagiques de Microsoft Azure : Machine Learning, Databricks (ou Apache Spark), Data Factory et SQL Data Warehouse. Expérience avec les services infonuagiques de Microsoft Azure : Machine Learning , Databricks (ou Apache Spark), Data Factory et SQL Data Warehouse.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Relevant Keywords: Machine Learning, Robotics, Computer Vision, TensorFlow, PyTorch, Reinforcement Learning, Software Engineering, Deep Learning, Artificial Intelligence. Join us as a Machine Learning Engineer and be part of a team pushing the boundaries of AI and robotics.
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Proficiency in deploying scalable machine learning solutions in production environments, leveraging cloud platforms (AWS Cloud) and technologies like Docker and Kubernetes for containerization and orchestration.
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PhD in Computational Biology, Machine Learning or a related scientific field. Experience with any of the following machine learning topics would be a plus. InstaDeep is looking for Research Scientists to join our Research Team in London, working at the intersection of machine learning and life sciences.
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
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Partner with internal stakeholders from multiple departments to identify opportunities for applying data engineering, machine learning and AI solutions for a new flu vaccine manufacturing facility.
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Comprehensive technical expertise and a research track record in one or more of the following domains: artificial intelligence/machine learning; advanced cybersecurity methods and technologies; computer science and engineering; software engineering; modeling and simulation; model-based systems engineering; and/or computational science and engineering.
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Develop and deploy advanced machine learning and deep learning models to tackle complex problems in quantitative finance. Job Title : Machine Learning / Deep Learning Quantitative Researcher (Quant Finance.
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Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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Development & Support: Lead Data Engineer, Senior Machine Learning Engineer, Big Data Engineer, Senior Data Engineer, Principal AI Engineer, AI/ML DevOps Engineer. Specialise in sourcing top talent for cutting-edge roles in AI, machine learning, quantum computing and more—driving innovation across industries like finance, commerce and beyond.
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
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Job Title: Machine Learning Development Manager, Generative AILocation: Mississauga, Ontario, CanadaWork Model: Hybrid, 3 days in-office minimum; additional occasional/or regular in-office days may be required to support your team.
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Synechron is looking for a Vertex AI Machine Learning Engineer to join our Team in Irvine, TX.
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Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale. Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.
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machine learning jobs Title: public affairs manager Company: Meta in Belgrade, Montana
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