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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 design.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Machine Learning Engineer, you will lead the development and implementation of advanced data engineering solutions to support the deployment and optimization of AI models. The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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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 5 days ago - UpvoteDownvoteShare Job
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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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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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The Machine Learning Engineer, Sr. will be a key member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and lead the development of a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications.
$149,760 - $224,640 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - 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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Experience with data science, machine learning, and/or artificial intelligence. If this sounds like the kind of environment where you can thrive, keep reading Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers’ mission to defend against evolving threats around the world.
$118,300 - $213,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 5 days ago - UpvoteDownvoteShare Job
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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.
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What you'll do Lead and drive Generative AI Initiatives within the Cloud Platform team, play a central role in identifying and developing generative AI projects that innovate content creation, enhance decision-making processes, and provide predictive analytics, revolutionizing data interaction across business landscapes.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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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Ph. D. is preferred) At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
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Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow. NVIDIA is a Learning Machine.
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Machine Learning Engineering - Dallas, TX (Hybrid) Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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machine learning technical lead jobs Title: technical director
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