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Everyone who goes through SynergisticIT's program learns all the skills necessary to succeed in many IT fields ranging from Java to Machine Learning. SynergisticIT continues to work with hundreds of satisfied American clients with our software programmers working on our projects and after gaining hands on experience on cutting edge technologies moving to contribute their skills to great clients like Apple, Google, Client, Ebay, Paypal, Kroger, the Walt Disney Company and hundreds more.
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Captivation Software is looking for a mid level software engineer who will be responsible for designing, developing, and sustaining pipelines that enable machine-learning model training as well as large scale inference in a Kubernetes-based environment.
$125,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The Director of Business Intelligence will lead our efforts in dashboard development, predictive analytics and machine learning programs along with managing a team of Data Scientists, Engineers & Developers to provide insight into business performance & opportunity.
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Development using machine learning (e.g., LLM, Classifiers, Clustering, Regression) We look forward to learning more about you – apply today! As part of this highly visible and fast-paced prime contract, you'll enjoy a competitive benefits package including four or more weeks of Paid Time Off, Flexible Schedules, Discounted Stock Purchase Plans, Education and Training Support, Parental Paid Leave, and more.
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Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics. Develop feature vectors for input into machine learning algorithms.
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As an AI/ML Process Engineer on our team you will support a customer organization’s effort to enable artificial intelligence and machine learning (AI/ML) across their mission architecture.
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Provide software engineering support to implement and manage GPU-enabled data science software stacks and cybersecurity data flowsRefactor software solutions based on customer needs and research priorities and integrate, test, and refine AI and machine learning-based cybersecurity softwareWhat we'd like you to have.
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Overview Leads data science and machine learning initiatives for enterprise front office program in the staffing industry. Overview Leads data science and machine learning initiatives for enterprise front office program in the staffing industry.
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If you are organized, team-oriented, enjoy learning, and bring positive energy, we want to hear from you! We have a beautiful operation and looking for someone that appreciates a well oiled machine and is willing to contribute to promoting a healthy culture for the company.
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Familiarity with Machine Learning. Develop analytics based off artifacts, enrich data with various corporate sources, summarize data, and formulate results for downstream analytics and queries.
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The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.) Experience with machine learning, algorithm analysis, and data clustering.
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Azure ML is building the machine learning development platform that makes it easy for all data scientists and AI developers to create and deploy robust and highly scalable ML and AIsolutions in the cloud using the best of the open-source ecosystem and innovation from inside the company along with the latest breakthroughs in research.
$94,300 - $198,600 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience in delivering machine learning results from cloud packages such as AWS Sagemaker, Google Vertex AI, or equivalent. Utilized infrastructure as code within one of the cloud environments AWS CDK, Terraform, or equivalent.
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Fluency with one or more modern Object-Oriented Programming Languages (Python, Typescript, Java)Experience with user administration hierarchies leveraging IAM technologies. We are looking to hire a Cloud Engineer who can support robust and repeatable cloud designs in support of data manipulation, large-scale infrastructure for data ingestion, and data visualization for custom client applications.
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Strong background in data science, data engineering, and data preparation for machine learning training, evaluation, and deployment. Background in data science, data engineering, and machine learning applications.
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