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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$113,200 - $205,500 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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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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As part of the Data Engineering team, the Lead Python Data 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.
$91.24 - $109.48 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Apply extensive experience with statistical modeling, machine learning algorithms (e.g., regression, classification, clustering), deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), and NLP techniques (e.g., transformers, LSTM.
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. Design and develop solutions that utilize generative AI, leveraging Machine Learning (ML) and Large Language Models (LLM), tailored to business needs.
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The Workplace Investing Data Engineering and Exchange AI Delivery Chapter team is looking for a Senior Machine Learning Engineer to joinour team to help deliver customer facing AI models into production.
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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Design and implement frameworks and tools to streamline the machine learning process. Work directly with Business domain experts and Data Scientists to develop high quality, reliable, scalable, machine learning systems.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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We are a high-tech engineering firm with a laboratory in central Houston, TX. We are currently seeking a Machine Learning Engineer/A.I. Data Scientist to contribute to the development of payloads for unmanned aerial vehicle (UAV) projects.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Within this group, you will be exposed to a diverse array of electrical and computer related applications (i.e., telecom networks, 5G, 6G, LTE Advanced, Wi-Fi, industrial control systems, robotics, medical devices, artificial intelligence (AI), machine learning (ML), mesh neural networks, deep learning, cloud computing, virtual machines, operating systems, computer architecture, cybersecurity, blockchain, image and video processing, etc.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Experience in testing, packaging, and deploying machine learning models. Convert research-based machine learning models into production-ready software. Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3.
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We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. Role : Lead Python Data Engineer. Knowledgeable of ML platform technologies including Apache Airflow, Kubernetes, Dask, Ray, and MLFlow.
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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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machine learning jobs Company: Glocomms in Houston, WA, Ohio
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