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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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Familiarity with the deployment of scalable machine learning models in a production environment. This role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like 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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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$199,300 - $247,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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5+ years of experience in data science, machine learning, or related fields, with a proven track record of leading successful data science projects from inception to delivery.
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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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QUALIFICATIONS:Minimum education and experience required: Bachelor’s degree in Applied Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field of study plus 7 years of experience in the job offered or as Software Engineer, Senior Java Developer, Associate / Software Engineer, Consultant, or related occupation.
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Tools and methodologies used by the Avionics Engineer includes Model Based System Engineering, laboratory analysis hardware, software development environments, and Agile methodologies. Specifically, the Avionics Engineer develops integrated system-level designs, and hardware and software subsystems designs.
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As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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As a Senior Machine Learning Engineer, you will lead the development and implementation of sophisticated data engineering solutions to support the deployment and optimization of AI models.
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Relevant certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, Certified Kubernetes Administrator) are a plus. Experience with Python and/or JavaScript Development Documentation would be a huge plus.
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Experience with production cost modeling simulation software is a plus. Contribute to artificial intelligence/machine learning (AI/ML) and data modeling projects. Bachelor’s plus 3 years or Master’s plus 1 year experience is a plus.
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We are seeking a product-focused Tech Lead Frontend Engineer with 10+ years of experience to join our Onboarding Team. Our team plays a crucial role in enabling sellers to onboard and adopt Square’s ecosystem.
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Application spaces of algorithm development include graph theory optimization and quantum machine learning. Typical summer projects may include programming on a commercially available quantum hardware platform, quantum simulations, software analysis, and algorithmic development.
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Proficient in building and deploying web applications using Streamlit, Flask, and FastAPI. Familiarity with the deployment of scalable machine learning models in a production environment.
$110,000 - $130,000 a yearExpandApply NowActive JobUpdated Today
machine learning software engineer a plus science jobs Title: software in Atlanta, GA
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