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Experience with big data technology (Spark) and experience with cloud platforms (AWS, Google Cloud) is desirable. Proficient in creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, natural language processing, decision trees, neural networks, etc.
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Job DescriptionGen AI Solution Architect/Delivery Lead -DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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Has expert knowledge of standard data science and statistical techniquesHas a track record of successful deployment of machine learning models, frameworks, and their training, prediction time, and implications on production systemsHas strong knowledge of two of causal inference techniques, Gen AI (LLM) implementation, or contextual banditsExperience implementing scalable systems (Google Cloud preferred.
$165,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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As a Lead Data Scientist on the Network Configuration team, you will play a crucial role in developing cutting-edge machine learning solutions. 2+ years of experience with Google Cloud Platform services like Vertex AI and Kubeflow or comparable services like Airflow, Argo, etc.
$118,450 - $267,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender's proactive deepfake and AI-generated content detection technology is developed by a leadership team with over 20 years of experience in applied research at the intersection of machine learning, data science, and cybersecurity.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying machine learning models. Ph. D. or Master’s degree in Computer Science, Electrical Engineering, Statistics, or a related field with a focus on machine learning or artificial intelligence.
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The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
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The successful candidate will possess expertise in quantitative finance, a profound grasp of fixed income markets, and a strong foundation in machine learning and data science.
$175,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Published research and/or academic/industry partnerships in machine learning, computer vision, robotics, computer science or a related field. Strong proficiency and recent hands-on experience in Python, standard data science libraries (numpy, pandas), and one or more ML libraries (PyTorch, Tensorflow, Keras, scikit-learn, Huggingface, Weights & Biases, Tensorboard, etc.
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The ideal candidate will have a strong background in AI, machine learning, and data science, with a proven track record of designing and implementing AI systems. Proficiency in AI and machine learning frameworks such as TensorFlow, PyTorch, or similar.
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Proficiency in AI and machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch). Architectural experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
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Experience working with large scale Machine Learning Infrastructure and Data. Google Cloud Platform, CI/CD, Slurm, Python Environment, IT Background. M.S. in Computer Science or related field.
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We’re rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
$135,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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More than 10 years of hands-on Experience with Big Data frameworksPractical experience with Machine Learning and Deep Learning, GenAI techniquesExperience developing data products, technologies and platformsExperience with Public Cloud technologies such as AWS or Google CloudExcellent communication skills: Ability to translate technical and analytical metrics into simple content and present to business partners as well as senior leadership.
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