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Programs on 5G, quantum computing, artificial intelligence, deep learning, quantum computing and from artificial intelligence and deep learning to cyber. programs on 5G, quantum computing, artificial intelligence, deep learning.
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As a machine learning engineer, you’ll have the opportunity to immediately drive a huge, direct impact for Propel! Lead Propel in building machine learning infrastructure that all teams can take advantage of.
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Proven ability to Formulate data science and machine learning strategies to align with business objectives. Advanced experience developing Machine Learning models or ML Ops processes.
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As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. We are looking for Staff Machine Learning Engineers of all skill levels or experienced engineers from other disciplines who may be looking to make the move to a big data environment.
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You’ll be spearheading Propel’s work to leverage machine learning algorithms across our teams. Continually source new machine learning and recommender system innovations from industry, academia, etc.
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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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Email DBA Web Sr Developer (Machine Learning, Distributed Ledger Technology, NLP, Image Analytics, Python, R, Hadoop, AWS) in McLean, VA AWS, Distributed Ledger Technology, Hadoop, Image Analytics, Java, Machine Learning, Natural Language Processing, Python, R Location: Virginia Job Function: Developer Date Of Job Posting: 07-11-2018.
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Have expertise in Machine Learning best practices (e.g. model evaluation and hyperparameter tuning, A/B test, feature engineering, feature/model selection), algorithms (e.g. gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization and recommendation, anomaly detection.
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A law firm is seeking a highly skilled Machine Learning Technology Specialist to join its team in San Diego, CA. The ideal candidate will be responsible for drafting patent applications, corresponding with patent offices, advising patent litigation teams, and conducting interviews with inventors.
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Keywords: Chicago IL Jobs, Quantitative Researcher, Python, Machine Learning, C. Quantitative Researcher, Machine Learning - Work From Home. - Practical experience applying machine learning techniques for trading applications is preferred.
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Strong knowledge of probability, statistics, and machine learning for time-series data. - Stay up to date on cutting-edge machine learning techniques. - Translate machine learning algorithms into code.
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Develop and implement train machine learning models using Google Vertex AI and Typescript, Express. Design, build, deploy machine learning models and microservices on the Google Cloud Platform.
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Bachelor's degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred. Experience using tools such as Azure's Machine Learning and Cognitive Services; AWS's SageMaker, Polly and Rekognition; DataRobot; or H2O.ai.
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TDD, CI/CD, Linux, Trading, HPC, SLURM, Orchestration, Containerization, Financial, Programmer Analyst, Programming, Software Developer, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting.
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The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.
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