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Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies.
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As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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Remain adaptable and proactive in learning new technologies and techniques in AI and full-stack development to keep up with industry trends and advancements. Utilize your creative and technical skills to develop solutions that integrate AI and full-stack development, addressing complex challenges and improving application functionality.
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You'll work across the entire ML framework/compiler stack (e.g. JAX, XLA, Triton, and CUDA), as well as system-efficient deep learning models. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, Maps and Research, ensuring greater degrees of consistency and repeatability, and addressing the "last mile" of getting models into production and managing them once they are in place.
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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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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Create and maintain technical documentation, run books, code, and best practices for data and machine learning engineering on the AWS Stay up-to-date with the latest advancements in machine learning, Databricks, and MLOps, and propose innovative solutions to enhance our capabilities.
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The Allen School has two outstanding opportunities for a full-time Technical Applications Lead. - Extensive experience with full-stack web development, VCS including Git, Docker and Cloud Native deployment, networking, security best practices.
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Stay current with advancements in machine learning by actively researching and interpreting relevant scientific and technical journals. Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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Must have both development & production support experience in Azure technologies & worked as a technical lead for atleast 3 years. Has to support the delivery teams as a technical lead, in a hands-on capacity troubleshooting with other engineers & developers, developing integration pipelines.
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Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement. Experience with AI, predictive analytics and the machine learning landscape is a huge plus.
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The qualified candidate for this position will support TSL Applied Research and Development (ARD), Developmental Test & Evaluation (DT&E) projects, and/or Internal Research and Development (IRaD) projects with data science applications, such as machine learning and artificial intelligence, as well as software-related technical services.
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machine learning technical lead full stack jobs Company: Mavinsys
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