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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business.
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Our investments in technology such as Custom API, trading systems and data science is to enable easy access to financial services that were previously inaccessible or difficult to understand.
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Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science/AI/ML platform.
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Good programming skills and knowledge of data science tools and libraries in Python or R and experience with Deep Learning frameworks such as TensorFlow. As an ML Engineering Intern, you will have the opportunity to work on cutting-edge machine learning projects, collaborate with experienced professionals, and gain valuable hands-on experience in the field of artificial intelligence and data science.
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Opportunity: Machine learning experts on our team can utilize applied science and software development skills to help tweak Foundation Models that help us address some of the hardest problems towards our vision in making insights from complex Industrial data simple & easy to access.
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Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
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Ph. D. degree in Computer Science, Electrical Engineering, Data Science, or a related field, with a focus on computer vision, machine learning, or a related discipline. Proficiency in Python is a must, along with experience with related libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn.
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Certified Specialist in Predictive Analytics (CAS) or other data science related certifications. Experience with TensorFlow, PyTorch, transformers, LangChain, numpy, pandas, polars, and related.
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Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. As a staff engineer, you will partner closely with our data science, product partners, and other ML + data engineers on the team to execute on these opportunities in order to improve the Host and Guest product experience on Airbnb.
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Knowledge of industry standard technologies in the Data Science and Machine Learning space. Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, TensorFlow, transformers.
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We are looking to hire a staff machine learning engineer to join our RVO Health data science team. 6+ yrs of professional experience in a data science role with a preference for holding an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
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Doctorate degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, or Software Engineering. Master's degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, or Software Engineering.
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As the Data Science Director, you will provide strategic direction and collaborate with cross-functional stakeholders to harness the power of data in enhancing decision-making processes.
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Develop data science solutions based on tools and cloud computing infrastructure. Experience with deep learning frameworks and infrastructure like TensorFlow or PyTorch. Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
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Creates and delivers AI algorithms to drive operational improvements, automate tasks, augment human performance, provide predictive analytics, risk scoring and surveillance solutions using large datasets and an array of advanced data science technology.
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