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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.
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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 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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Machine Learning Engineer No Data Scientist – they don’t want that background Looking for 8+ years experience They want them still to be hands on with code, but able to mentor junior staff They use an open source model Dallas is the location – Dallas candidates are remote – but they can meet in person.
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Skilled in machine learning libraries (Sklearn, TensorFlow API) and data visualization tools (Power BI, Tableau, R-Shiny). Minimum 5 years of experience in Data Science, Data Engineering, or a closely related field, with a focus on using open-source software and Docker in a production environment.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) 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.
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Experience with open source vision and machine learning tools such as CUDA, Caffe, fastText, OpenCV, Parsey McParseface, SciKit, Torch, Tessaract, TensorFlow, Theano a plus. Intermediate or expert in one or more of image processing algorithms, machine learning, data mining, pattern matching and parallel processing using high performance computing paradigms such as GPGPU. Able to extend and improve existing algorithms to improve facial, speech, vision and gesture recognition technologies for better accuracy, robustness and ease of use.
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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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Lead Software Engineer- Cloud Platform. Lead Software Engineer. Our observability tools provide deep visibility into various technologies and distributed systems, enabling software engineering teams to proactively address issues, optimize performance, and enhance their infrastructure.
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6+ years of professional work experience in software development and/or operations. 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.
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This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid. Fully Remote (works exclusively from home) Strong coding skills in Python, Java, or C#, with a solid grasp of AI-focused libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and other frameworks that support generative AI development.
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In Disputes we build highly available and scalable, Machine Learning driven products that integrate with the broader Cash App ecosystem to help customers solve their problems. About the roleYou will be joining the Disputes Team in the United States, supported by and reporting to the Disputes Team Engineering Manager in West Coast USA.Your team will be responsible for one of three major work streams within the Disputes Team. You will work closely with the other work stream engineering teams, including Mobile Engineers, Product Managers, Designers and Machine Learning Engineers.
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New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, mental health benefits, a 401(k) plan and match, flex time-off, 11 paid holidays, volunteer time off, and other competitive benefits designed to improve the lives of our employees.
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Deep knowledge of generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs) like OpenAI's GPT series, BERT, and Transformer architectures.
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BTI360, an innovative software company based in Herndon, VA, is excited to announce several job opportunities that will contribute to driving the entire Open Source Intelligence (OSINT) value stream for our customers.
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