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Understanding of machine learning fundamentals, including deep learning, generative models, NLP techniques, such as sentiment analysis, and entity recognition and disambiguation.
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The Senior Machine Learning Engineer will work on building AI/ML solutions across a wide range of business applications. TITLE: Senior Machine Learning Engineer. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Senior Machine Learning Engineer. 8+ years of experience in developing business applications for Machine Learning and Data Science workloads.
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Extensive experience with statistical modeling, machine learning algorithms (regression, classification, clustering), deep learning frameworks (TensorFlow, Keras, PyTorch), and NLP techniques (transformers, LSTM.
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In-depth knowledge of statistics and algorithms used in machine learning, text analytics, deep learning, and/or predictive modeling their appropriate use. 8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer.
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. Strong background in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, transformer, reinforcement learning, etc.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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CUDA, Bash, and/or SQL), machine learning / deep learning methods, data analytics, and medical image analysis. Experience with common open-source scientific computing/machine learning libraries (e.g., PyTorch / TensorFlow), containerization, and cloud-native technologies (Docker & Kubernetes) is preferred.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Experience with one or more of the following would be desirable but not required: o Relational (e.g. MySQL) or non-relational (MongoDB)databasing o Signal processing (filtering and feature detection) o Machine learning o Computer vision (object detection and feature extraction) o Hardware integration (e.g. Serial port communication, microcontrollers, closed-loop control) o Fluorescence Microscopy o GPU computation (CUDA, Tensorflow/PyTorch.
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We are currently seeking an experienced Machine Learning Engineer/Software Developer to join the Big Data and Advanced Analytics department. Title: Machine Learning Engineer/Software Developer.
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Do you have a deep understanding of machine learning, deep learning, and Generative AI models? Develop and implement cutting-edge AI solutions using natural language processing (NLP), deep learning, large language models (LLM), and Gen AI.
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Demonstrable experience with one or more of the following technical areas: autonomous navigation and localization algorithms, machine learning and deep learning, modeling and simulation, IoT device management and data analytics, Industry 4.0.
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Proficient in Python, machine learning libraries & frameworks (TensorFlow, PyTorch, scikit-learn) Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
$170,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago
machine learning deep jobs Title: manager in Houston, CT, Nebraska
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