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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java). Lead the design and development of advanced machine learning models to solve business challenges, leveraging techniques such as deep learning, reinforcement learning, natural language processing, and computer vision.
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Machine Learning: SparkSQL, Java, Scala, Python, Jupyter. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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Stay up to date with emerging technology and learn new technologies/libraries/frameworks Learn and partner with peers across multiple disciplines, such as computer vision, machine learning, and systems design Deliver on time with a high bar on quality of research, innovation, and engineering Must-Have Qualifications: 3+ years of experience with frontend frameworks (React Native, Typescript and React) 3+ years of experience building customer facing mobile applications.
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4 years experience as an Machine Learning Engineer, Applied Scientist, or similar role. As a Senior Machine Learning Engineer II, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations.
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Practical experience working with data and developing optimization solutions and machine learning models using cloud technologies (data lake, Microsoft Azure, AzureML, Databricks) Knowledge of at least one computer programming/scripting language (e.g. Python, R, Java, C.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Develop and implement machine learning models and algorithms to solve complex business problems. Solid understanding of machine learning techniques and algorithms. Proficiency in programming languages such as Python, R, or Java.
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At least six (6) years of experience in implementing intelligent automation projects using market-leading tools in the suite of automation capabilities, including robotics, workflow management, OCR, virtual agents, natural language processing, machine learning and emerging technologies.
$139,800 - $319,400 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Machine learning proficiency TensorFlow, Keras, and Scikit learn. Significant past Python, Java/JPA/Java Spring/Angular and SQL hands on experience. Demonstrates ongoing personal development and self-learning.
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Our MTD and award-winning machine learning-based engine protects against device, network, phishing and application attacks for IOS, Android and Windows devices, using a non-intrusive approach to always protect privacy of users.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Prefer experience with React, Java Spring, middleware and asynchronous processing. 3+ years of Java, Python and other programming languages with experience in Object Oriented Analysis, Design and testing best practices.
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As we continue to expand, we are looking for a Data Engineer (PySpark) to support our growth in the field of big data and machine learning. Collaborating with the data science team to deploy and optimize machine learning models.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Flexing across the entire machine learning model development lifecycle, including EDA, data pipelines, feature engineering, model productionisation and monitoring. The role will have a high degree of autonomy and will have the opportunity to touch all areas of the stack (full stack machine learning, Client operations and API development.
Full-timeExpandApply NowActive JobUpdated 10 days ago
machine learning java jobs in Dallas, TX
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