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Domain experience in autonomous vehicles, robotics, natural language processing, wireless communications, computer vision, or related AI fields preferred. Bachelor’s degree or graduate degree (MS/PhD) in Computer Science, Electrical Engineering, Data Science, Physics, or related technical field involving AI/ML.
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The Upward Bound Instructor is responsible for curriculum materials and augment existing, curriculum in developmental studies (Math, Science, English, Foreign Language, and Life Skills) through traditional, audio-visual, and computer assisted/managed instruction.
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Have experience in building forecasting model for trend analysisExcellent oral and written communication skillsPrior experience working in the healthcare industry is highly desirableExperience with deploying advanced natural language models and time-series model into production is highly desirableMS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience.
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Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, Management Information Systems and/or equivalent work experience. Qualifications: Proven work experience as a Mobile developer; Demonstrable portfolio of released applications on the App store or the Android market; In-depth knowledge of at least one programming language like Swift and Java; Experience with third-party libraries and APIs.
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You also have opportunities to research and develop applications in applied artificial intelligence using computer vision, natural language processing (NLP) and large language models (LLM.
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Bachelors or graduate education in Business, Computer Science, Economics, Finance or an Engineering field; Masters preferred. Knowledge of Machine Learning algorithms, Natural Language Processing (NLP), or other statistical algorithms would be preferred.
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In Computer Science, Information Systems, Electrical Engineering, Mathematics, or a related quantitative field. Proficiency in coding languages such as C#, VB, Java, Python, Ruby, GO, or any Object-oriented programming language, and familiarity with Terraform, ARM Templates, Pulumi, or Bicep.
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Bachelor’s degree in computer science or similar field with 10 years' experience as a data engineer, Database Administrator, or software developer. Master’s degree in computer science or related field.
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Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a closely related field (or equivalent experience) Understanding of neural networks, natural language processing, and computer vision.
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Master’s or PhD degree in Computer Science, Data Science, Machine Learning, Biomedical Engineering, or a related field. Strong experience building models using ‘classical’ ML algorithms (XGBoost, CatBoost, Random Forest, LightGBM) and neural network architectures (LSTM, GRU, transformers, language models.
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Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation.
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As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries.
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The Software Engineering Senior Associate, Valuation & Capital Market Analysis – Complex Financial Instruments will be a member of the Data Science team that builds Python based models and related infrastructure to speed up the development and deployment of machine language (ML), statistical and mathematical models at scale and bring game-changing impact to our client’s decisioning.
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Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
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The Director of Applied AI and Data Science will be expected not only to possess a deep understanding of these technologies but also to apply them innovatively to address complex challenges in the legal sector.
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