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Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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3 years industrial experience in Machine Learning, Artificial Intelligence AI/ML, Deep Learning, Cloud Computing, Applications Development, Cybersecurity, IT, Computer Science, System Support, Databases/Fulfillment, Storage, Electrical Systems, Software Design/Development, Programming or Robotics required.
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Current-Hands on modern-cloud DevOps Skills with a current-hands-on Focus on Machine Learning Applications support, stand-up, security, automation, monitoring, high availability, source code control/external-client-specific version control, release management and experience setting up/standing up environments for ML/AI Software Engineers to code and test on.
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Cloud, artificial intelligence, machine learning, mobile, In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies: Angular, TypeScript, CSS, HTML Exposure to cloud technologies: AWS.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Sr. Java Full Stack Developer - Onsite work (Only W2.
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We are seeking a talented Machine Learning Engineer with expertise in software engineering to join our team. As a Machine Learning Engineer, your primary responsibility will be to develop machine learning (ML) solutions that focus on technology process improvements.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc Preferred qualifications, capabilities, and skills.
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Develop predictive analytics ( hands-on-keyboard ) via statistical, machine learning, and mathematical models on Sysco s corporate data to get actionable business insights as the technical expert in the portfolio.
$130,000 - $150,000 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Hands-on coding experience using Typescript/Javascript, Java, Python, C, C.
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Our Deep Learning technology captures user behavior and utilizes machine learning to connect people with the products, content, and information they need. Write and maintain Java services written in Spring Boot (we use Java 17.
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Minimum Experience: 2 years of process engineering experience in a chemical or petrochemical environment; with at least 2 years of experience using timeseries tools such as SEEQ, natural language processing (NLP), building predictive maintenance machine learning productions and taking them to production, building machine learning solutions with cloud tools (AWS, Azure, Google cloud), and knowledge of applying overall equipment effectiveness (OEE) calculations.
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Design, Develop and Deploy advanced machine learning and Artificial Intelligence algorithms/predictive models for use in Underwriting, Customer Management, Marketing, and Operations; The Data Science team conceptualizes, develops, deploys, and maintains predictive models using advanced statistical and machine learning methods.
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A minimum of 6 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
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The Machine Learning Engineer will be responsible for designing, developing, and deploying artificial intelligence and machine learning models and digital products. Creating systems for storing, extracting, transferring, loading, and modeling data to be used for both production systems and machine learning projects.
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Strong Python knowledge Passion for developer experience and expertise in API design and usability Experience building and scaling large-scale analysis or machine learning tools Experience with modern data technologies (Postgres, Snowflake, Redshift, Airflow, dbt) Data visualization expertise (Plotly, Panel, Dash) Willingness to support and educate our researchers on best practices in software engineering Experience with a strongly typed or compiled language (e.g., Java, C.
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