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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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The perfect candidate for them possesses a deep grasp of machine learning principles and algorithms, with hands-on expertise in harnessing Databricks for model development and deployment.
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Machine Learning Engineer, Senior. You’ll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance. Implement Azure-based deployment pipelines for deploying machine learning models into production environments.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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This is an exciting opportunity as we combine the best of physics-based modeling with data analytics and machine learning to accelerate drug discovery and bring benefit to patients.
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We seek a collaborative and highly innovative computational scientist to join our Predictive Sciences team and develop predictive models using cutting-edge machine learning/artificial intelligence techniques to discover novel therapeutic opportunities.
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We are looking for a senior Machine Learning Engineer with deep expertise in attribution space (just like you!) Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus. Basic Qualifications:Bachelor’s Degree with 5+ years of academic / industry experienceOrMaster’s Degree with 3+ years of academic / industry experienceOrPh. D. and no experience required Preferred Qualifications: Ph. D. with 0- 2+ years of relevant fields with a focus in Artificial Intelligence or Machine Learning development and applications to molecular design.
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Massachusetts General Hospital (MGH) Department of Neurology and Harvard Medical School (HMS) is seeking a signal processing and machine learning post-doctoral fellow for a full-time position in the Gupta Lab. The fellow will be applying diverse methodologies to uncover information in multimodal data collected from individuals with common and rare neurodegenerative diseases.
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We are currently seeking an experienced Machine Learning Engineer/Software Developer to join the Big Data and Advanced Analytics department. As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
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Reporting to the Director of Machine Learning Engineering the role requires a skilled Machine Learning Engineer to design, build, and deploy machine learning models that will help us derive actionable insights and solve complex problems.
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Title: analytics engineer machine learning in Holdrege, Nebraska
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