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Proficiency in statistical methods (eg, linear regression, logistic regression, survival analysis, ARIMA), AI/machine learning techniques (eg, Random Forest, XGboost, Clustering, Neural Network, NLP, Image Recognition) and programming languages (eg, Python, R, SAS, SQL.
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Experience with robotics, AI and machine learning, and PLC programming. Continuous improvement focused on improving machine utilization and achieving delivery targets. The Automation Equipment Engineer will lead in the development and implementation of manufacturing process with a focus on automated and manual sheet metal fabrication.
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The Scientific Software Engineering & Data Management Group in the X-Ray Science Division (XSD) at the Advanced Photon Source (APS) ( invites applicants for a postdoctoral position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments.
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We're looking for someone who has a passion for building scalable machine learning and MLOps platforms using technologies such as Python, Databricks, Spark, AWS, Airflow, Terraform, etc.
$110,000 - $142,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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You'll serve as the technical lead to drive some ML initiatives, and you will work closely with our teams to infuse AI and machine learning capabilities into our products. As a member of the Lucid Motors perception team, you will play a key role in driving the research and development of the machine learning models which will push the state of the art in perception algorithms.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Common machine learning toolkits including iPython, Jupyter, Sagemaker, and Azure ML; (II) Experience in video data processing using ROS bag and frame extraction; (III) Demonstrated proficiency in SQL in the context of machine learning development; (IV) Background a.
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Dexian is seeking a Machine Learning Engineer/AI Engineer for an opportunity with a client located in San Francisco, CA. Data Science / Machine Learning => 5/10 experience.
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The Director, Analytics Engineering is responsible for leading development, implementation, and operations of the company's Artificial Intelligence and Machine Learning program. Build Company's Analytics Engineering practice to support Artificial Intelligence, Machine Learning, and related advanced analytics initiatives.
$170,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. Experience with front-end development using HTML, CSS, and JavaScript frameworks (e.g., React, Angular, Vue.js.
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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models.
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To make this vast amount of information more accessible, we have built a variety of tools including a search engine, a machine-learning-driven search intent classifier, an LLM-driven question -answering system and an ontology/ taxonomy all supported by reference data about companies, industries, and our analysts.
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Ph. D. in computer science, machine learning, computational biology, systems biology, or a related discipline. You will be part of a cross-functional team of life scientists, data scientists, bioengineers, software engineers, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity.
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We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization. Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.
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machine learning jobs Title: expert Company: Dxc
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