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This role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks such as Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments and also being part of customer success teams.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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In this role, you will collaborate with ML researchers, technical artists, and simulation engineers to build realistic, accurate and detailed 3D models using machine learning from a variety of data sources.
$111,000 - $121,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop internal APM product utilizing the latest anomaly detection machine-learning algorithms for predicting machine failures. Work with plant engineers located globally to solve business challenges related to forecasting the breakdown of the machines using sensor data analysis techniques such as Vibration Analysis, Motor Circuit Analysis, Oil Analysis, and Infrared Thermography.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Apply machine learning techniques including LLMs, deep learning including generative models, natural language understanding, sentiment analysis, topic modeling, and named entity recognition to analyze large sets of HR-related text data, and design and launch pioneering cloud based machine learning architectures.
$136,800 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Write high-quality, performant, and maintainable codeImprove rendering and tooling for generating photoreal data at scale. Experience automating 3D content pipelines using apps like Houdini, Maya, or Blender.
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Developing and deploying machine learning pipelines using Vertex AI and Kubeflow for data processing, feature engineering, model training, evaluation at scale in production on GCP ensuring data quality, integrity, and security.
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Python, Machine Learning, nlp, Linguistics, Data science, Artificial intelligence, Instructional design, Data, Algorithm, Learning management. Experience training machine learning algorithms for data classification and speech recognition.
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Chick-fil-A Supply Chain is utilizing advanced analytics and machine learning to help Chick-fil-A restaurants, distributors, and suppliers make data-driven planning decisions. Experience with forecasting methodologies, data science, or machine learning concepts.
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Demonstrated knowledge and experience with machine learning platforms from major providers (AWS, Microsoft Azure and Google Cloud) Required to have worked in at least one of the following areas of Healthcare data processing, Large scale GPU infrastructure for ML training and Inferencing, building pipelines from ML models etc.
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They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$234,700 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Proven experience conducting large scale data analysis and utilizing big data tools such as Maltego, Palantir, Tableau, etc. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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Support large scale, data science projects that leverage data transformation and machine learning models. Machine learning algorithms (e.g., clustering, logistic regression.
$88,600 - $181,900 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
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