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PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers.
$159,100 - $309,400 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks.
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As a Machine Learning Engineer, you’ll develop ML-based metrics for evaluating an autonomous vehicle system offline at large scale. Machine Learning development experience.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow. As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions.
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Innovative Refrigeration Systems is looking to hire a Lead Machine Learning Engineer full-time onsite in Waynesboro, VA. You would be joining our software engineering department to build machine-learning models optimizing energy efficiency for heavy industrial refrigeration / cold storage facilities.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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5+ years of experience in machine learning engineering, data science, or a related field. Your responsibilities will include collaborating closely with product teams, contributing your expertise in machine learning technologies, and leveraging your full-stack capabilities to support the implementation of frontend components using React.
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Assist in the deployment of machine learning models into production environments, implementing monitoring and logging mechanisms for performance tracking. Collaborate with frontend developers to support the implementation of responsive and user-friendly web interfaces using React, integrating machine learning capabilities seamlessly into frontend applications.
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Knowledge of machine learning algorithms, statistical modeling, and data structures. Assist in the development and optimization of machine learning algorithms and models, providing guidance on best practices and methodologies.
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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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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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Proficiency in Python for machine learning and data analysis. Strong problem-solving mindset and a proactive attitude towards learning and self-improvement. Document technical solutions, processes, and best practices, and share knowledge with team members to facilitate learning and collaboration.
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We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. This role is based remotely but if you live within a 50-mile radius of Warren, MI, or Austin, TX, you are expected to report to that location three times a week, at minimum.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data. A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred.
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You will identify and address an applied machine learning problem in the enterprise co-pilot system, working with ML Engineers across the organization to adopt and productionize LLM usage.
InternExpandApply NowActive JobUpdated 8 days ago
machine learning jobs Title: principal Company: Servicenow
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