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BSc or MSc in Computer Science, Engineering, or a related field with a focus on machine learning; - PhD is a plus. Work closely with the data infrastructure team to ensure seamless integration of machine learning models with our existing systems and data pipelines.
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Educational Background: Possession of a Master's or Ph. D. degree in Computer Science, Statistics, Artificial Intelligence, Machine Learning, Data Sciences, or related fields.
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For data Science/Machine learning. Presently, we are actively looking for ENTRY LEVEL MACHINE LEARNING ENGINEER with a driven mindset. Knowledge of Statistics, Python, data visualization tools.
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Advanced Degree in Computer Science or Machine Learning. A leading trading firm is looking to hire a Snr Machine Learning Research Engineer to join the firm as an early member of their ML Engineering team and work on innovative research on deep learning forecasting, building scalable training and inference pipelines, explore and develop open-source DL frameworks and work closely with the quant researchers.
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Collaborating closely with our outstanding data science, weld science, and software engineering teams, you will be instrumental in developing groundbreaking AI-driven robotic welding methods.
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We are currently looking for experienced Machine Learning Engineer familiar with Java, Python, Scala and GO programming languages to join the dynamic team of developers in order to strengthen the team capabilities in the are of BIG Data and Machine learning areas.
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Requires minimal Bachelor's degree or foreign equivalent in Computer Science, Electrical Engineering, or a closely-related field, and at least 4 years of experience as an software engineer and 3 years years of ML related programing as well as at least 1 year of Cloud DevSecOps experience or related occupation.
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BSc, MSc, Ph. D. degree from a reputed university in Computer Science, Machine Learning, Statistics, or related technical field. Experience building backend systems at scale with a focus on data processing/machine learning/analytics.
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One (1) year professional work experience in Machine Learning, Artificial Intelligence, Deep Learning, or Data Science. On the Cloud Engineering team reporting to the Senior Manager Cloud Platforms, you will support projects including projects for Hilton's Data Science, Distribution, and Call Center teams.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Collaborate with a cross-functional team of engineers, data scientists, and product managers to develop, test, and deploy machine learning models for personalization across Rappi’s customer app.
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2-4 years of experience developing Machine Learning Applications in Python using popular Machine Learning and Data Science packages and frameworks such as Keras, Scikit-learn, Pandas, PyTorch, Flask etc.
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What you'll doConduct innovative research and development at the intersection of Generative AI and TypographyDesign, architect and build data insight tools and models for improving Typographic layout with Generative AIAbility to convert a research idea/paper to code in Python and typical machine learning development toolkits.
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Deep familiarity with one or more of the following areas at scale: Lucene-based search systems (ElasticSearch or Solr), search ranking and retrieval, data science, or information taxonomy.
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As a Machine Learning Engineer - Regulatory, you’ll prototype and implement ML models and applications for the surveillance of financial markets, which generate terabytes of new data every trading day.
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data science jobs Title: machine learning engineer
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