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Machine Learning Scientist Sr I would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically requires at least 7 years of related work experience.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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As a Senior Data Scientist, you will play a crucial role in our People Analytics department, utilizing your expertise in building causal inference machine learning models to drive data-driven decision-making.
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The Data Science and Machine Learning team at Lucid is on the mission to design, develop, and deploy AI solutions to help make safe and sustainable products and services on par with Lucids Luxury brand.
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Leveraging deep learning, an advanced form of AI, FLYR is helping airlines, cargo, and hospitality businesses around the globe elevate their results. You will work closely with data scientist teams on ML feature engineering and build model inference pipelines and model training set generation pipelines.
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Absorb machine learning literature, particularly in natural language processing, and quickly prototype new techniques by engaging with relevant research papers and textbooks. Currently enrolled in or a recent graduate of a PhD or Master degree program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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Responsible for improving the workflow of model training and serving, data pipelines, and resource management for the multi-tenancy machine learning systems. Experience on improving core machine learning infrastructure (TensorFlow, Pytorch, and Jax.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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Proven publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields. Contribute to research that enables learning the semantics of data (images, video, text, audio and other modalities.
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The Principal Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization.
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Requires a Master's degree in Computer Science, Artificial Intelligence, Operations Research, Applied Mathematics, Robotics, Industrial Engineering, or related field and 5 years' experience as an AI Scientist, AI Engineer, Machine Learning Engineer, Optimization Engineer, Automation Engineer, Data Scientist, Operations Research Analyst or closely related occupation.
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As a Data Scientist, you will provide support for the customer's machine learning model development and deployment efforts specific to its cyber focus and targets. As a Data Scientist, you will provide support for the customer's machine learning model development and deployment efforts specific to its cyber focus and targets.
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Proven prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role. Stay up to date with the latest advancements in machine learning and data science to ensure our solutions are cutting-edge and effective.
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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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machine learning jobs Title: sr data scientist Company: Apple
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