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Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
$247,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Design, develop, and implement machine learning models using advanced techniques such as Neural Networks and Transformer models, with a focus on tabular data and NLP applications. Relevant years of experience in machine learning, data science, or a related field, with a focus on Neural Networks, ML Models, tabular data, GenAI and NLP.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Lead Machine Learning Engineer. Serve as a subject matter expert in machine learning and fintech domains.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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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Experience analyzing clinical and other healthcare data and estimating the association of various interventions with clinical outcomes using epidemiological (or similar) methods that include causal analysis and machine learning.
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Minimum of 3 years of experience in machine learning or deep learning engineering or demonstrated proficiency in computer vision such as training of CNN based models, GAN or diffusion based models for data generation, optimizing trained models for deployment and signal processing and traditional computer vision algorithms such as those in OpenCV.
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Apply familiarity and skill with additional programming languages (e.g., Python, R), statistics, machine learning tools, data structure, data modeling, cloud computing, MS Azure, and Databricks to expand and enhance surveillance data value.
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Professional experience as a data scientist or statistical modeler in identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena.
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Have a solid theoretical and engineering foundation in computer science, machine learning or computer vision, and is familiar with up-to-date technologies including ML pipeline and infra, data mining, rule engine and distributed computing.
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Candidates also need to have a publication track record showing research experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning, deep learning, mathematical modeling, system identification, optimization, digital/mobile health, natural language processing, and data visualization.
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$137,000 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Our transformative solutions are powered by artificial intelligence, machine learning, learn from new insights, and seize new opportunities.
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