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The candidate will manage all aspects of the computational redesign campaign, and, as such, requires deep technical expertise in protein and structural biology/bioegineering or machine learning and simulation tools, and a willingness to gain complementary expertise.
$191,220 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD in Electrical Engineering, Computer Science, Robotics, or a related field, with a focus on sensor fusion, computer vision, signal processing, and/or machine learning. Expertise in programming languages and tools critical for high-performance computing and machine learning, including C.
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Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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The ideal candidate will be a pivotal part of the cross-functional teams, leading machine learning-based protein design initiatives and contributing to the development of lead drug candidates.
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Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement. Experience with Gen AI, LLMs, Predictive Analytics and Machine learning landscape is a huge plus.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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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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Swish is seeking a talented NLP Engineer to join our team and help us push the boundaries of what is possible with machine learning in the field of sports analytics. Design and implement machine learning models using Natural Language Processing (NLP) to analyze sentiment analysis around players to determine expected output.
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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.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google s Vertex AI, Azure s AI tools, and AWS s Machine Learning services.
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You will also address complex challenges and shape technical strategies that enhance our platform and New Relic product portfolio and foster cross-team collaboration. Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google s Vertex AI.Own and drive extensive technical efforts across multiple teams, ensuring projects are executed seamlessly and meet high standards.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are making manufacturing fast, accurate and cost-efficient by combining optical and atomic force microscopy with machine learning and artificial intelligence. Nanotronics is making manufacturing fast, accurate and cost-efficient by combining optical and atomic force microscopy with machine learning and artificial intelligence.
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We are seeking a Lead Software Engineer to spearhead our expansion into AI and ML technologies space, with a special focus on Generative AI. This pivotal role involves developing innovative Generative AI solutions that generate dynamic content, automate decision-making, anomaly detection, and provide predictive analytics,and transforming how businesses interact with data.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
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Evaluate and implement technologies incorporating machine learning, artificial intelligence, and music recognition technologies to further SME's content protection strategies. Knowledgeable about machine learning, artificial intelligence, and music recognition technologies.
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machine learning technical lead jobs Title: product manager Company: Delta Airlines in Us
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