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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Preferred Qualifications Knowledge of cross-platform development frameworks, such as Flutter/Dart. Knowledge of Typescript Understanding of modern SRE best practices.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval or reinforcement learning.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Bachelors Degree in in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science or related fields if accompanied by a Certificate in Data Science from an accredited college/university.
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Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go. 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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Provide technical expertise and guidance in AI/ML algorithms, data modeling, data engineering, and data governance and support the deployment across various domains (e.g., natural language processing, computer vision, predictive analytics.
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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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3+ years of demonstrated experience delivering real-world software solutions using Natural Language Processing, machine translation, or other related disciplines. Black Bear Technology is hiring a computational linguistic expert to improve the virtual assistant's Natural Language Processing (NLP) model by analyzing user data, troubleshooting false positives, and identifying new features.
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Experience with analytics tools like SAS, R, Python, and other advanced statistical software. Experience with Machine Learning, Artificial Intelligence, and Deep Learning algorithms.
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Significant experience programming in SAS, R, Python or other language. Master's degree in mathematics, statistics, data science, or related field, or the equivalent combination of education, training and experience.
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4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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