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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Provide technical leadership and guidance in AI technologies, including machine learning, deep learning, natural language processing, and GenAI. 10+ years of designing solutions utilizing key data providers and hyperscalers (e.g., Snowflake, Databricks, AWS Sagemaker/Bedrock, GCP AI Platform/Vertex AI, and Azure.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Experience working with embedded systems•Experience with Bazel•Experience implementing microservices•Experience with CI/CD practices and containerization•Experience in AWS, GCP, or Azure Public Cloud•Experience working with Machine Learning, AI, automated speech recognition (ASR), or audio products•We think the knowledge acquired earning a Bachelor’s Degree in Computer Science would be of great value in this position, but if you're smart.
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2+ years in cloud data engineering experience in Azure Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools is a plus. You'll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company.
$167,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Capable of applying the latest technologies and methodologies in machine learning, data mining, and predictive analytics to correlate disparate datasets and events, and derive value. To be successful in the role, you will have sound knowledge and experience Statistical Models, Data Mining, Machine Learning, building analytical solutions to deliver insights, insights communication and presentation, as well as demonstrating the ability to combine advanced analytics skills with exceptional business acumen.
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Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.
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Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. Exposure to Okta, Infoblox, Veeam, Commvault, or Microsoft SCCM.
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C#, computer science, javascript, machine learning, photonics, python, software. In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
$240,350 a yearFull-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The ideal candidate should be proficient in statistical analysis, machine learning techniques, and programming languages such as Python or R. Experience with Google Cloud Platform (GCP) is a must, and a GCP ML Engineer certification is highly preferred.
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Machine Learning Techniques, Artificial intelligence, Process Automation, Robotic Process Automation, Natural Language Processing (NLP) Developing AI and machine learning models, Reinforcement Learning, Siamese Networks, Logistic Regression, Linear Regression, Support Vector Machines, Hidden Markov Models, Gaussian Mixture Models, Conditional Random Fields, Latent Dirichlet allocation (LDA), deep learning frameworks such as TensorFlow, PyTorch or Keras.
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Optomi, in partnership with a Machine Learning and AI focused organization is seeking a Rust Developer to join their team in the Plano, TX Area. Optomi, in partnership with a Machine Learning and AI focused organization is seeking a Rust Developer to join their team in the Plano, TX Area.
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5 years of experience in one or more of the following areas machine learning engineering including deep learning recommendation systems pattern recognition data mining or artificial intelligence.
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machine learning jobs in Plano, OK, Nebraska
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