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Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Knowledge of software applications and technical processes within a technical discipline (e.g. artificial intelligence, machine learning, mobile, etc.
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Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with machine learning concepts and frameworks is a plus. Hands-on experience with Databricks and Snowflake for data engineering and analytics.
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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. Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
$221,625 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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We focus on 4G, 5G, IoT, M2M, machine learning, automation, RF, networking, and virtualization technologies, pushing the boundaries of what's possible in telecommunications and networking to deliver seamless connectivity and high performance.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
InternExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with machine learning concepts and frameworks is a plus. Implement data pipelines and ETL processes using Databricks and Snowflake. Data Engineer with Databricks. Experience with cloud platforms such as AWS, Azure, or GCP.
Full-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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As a dedicated Senior Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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You will also spearhead innovation efforts in artificial intelligence (AI) and machine learning (ML), leveraging cutting-edge technologies to advance Gainwell's payment integrity capabilities.
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We want Data Science, Machine Learning, Data Analyst, and Java Full Stack candidates. For Data Science/Machine Learning Positions. Machine Learning Engineers.
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
ExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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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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Strong understanding of automation technologies, such as robotic process automation (RPA), artificial intelligence (AI), digital factory and machine learning (ML). Ensure our automation strategies align with our safe factory imperatives and drive our global machine/process guarding initiatives.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Basic knowledge in modern data mining, quantitative research, and data science techniques (e.g., decision trees, regressions, machine learning, string similarity, behavioral analytics, look-a-like models.
Full-timeExpandApply NowActive JobUpdated 20 days ago
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