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A masters degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 7 years experience in data science or a similar role. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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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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As part of the compiler engineering team, you will be responsible for developing and maintaining ahead-of-time (AOT) and just-in-time (JIT) compilation for quantum computing, including quantum machine learning and quantum chemistry.
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Educational Requirements:Bachelor's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline required.
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Data science, machine learning, optimization models, 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.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
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Two years applied machine learning experience in a professional setting, familiar with at least one mainstream deep learning framework, such as TensorFlow or PyTorch. The Senior machine Learning Engineer will be working on different aspects of recommendation and user growth new initiatives, and the product will greatly impact Weee.
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Years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM.
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Kafka, HDFS, Hive, Cloud computing, machine learning, LLMs, NLP & Web development experience is a plus. Strong computer science fundamentals including data structures and algorithms.
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A Research Scientist at Numerica should possess an M.S. or Ph. D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.
$164,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Skills: Proficiency in programming languages (e.g., Python, R), machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and data analysis tools. Adjunct - Data Science or Computer Science.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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Bachelor’s or master’s degree in Computer Science , Information Systems, Engineering, Machine Learning, or related fields. Cloud Computing Platforms : Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) for AI development, deployment, and scaling.
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Johnson & Johnson Innovative Medicine is recruiting for a Principal Scientist, Discovery Data Science to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Discovery.
$195,500 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning computer science cloud computing applied jobs Title: sr researcher in Anoka, Minnesota
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