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Familiarity with sensor fusion techniques and the integration of data from various sensors such as LiDAR, cameras, radar, and GPS. Expertise in computer vision, natural language processing, or reinforcement learning as applied to autonomous vehicles.
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Are you a passionate Machine Learning Engineer with a strong background in SageMaker, prompt engineering, and LLM (Large Language Model) model tuning? If you are an ambitious Machine Learning Engineer with a proven track record in SageMaker, prompt engineering, and LLM model tuning, we would love to hear from you.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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The common thread that binds us at Prescient Edge is a voracious passion for learning, but our team hails from a diverse array of backgrounds – government, international relations, law enforcement, consulting, and linguistics training, to name a few.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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The STE will serve as an Agile Coach who brings facilitation, collaboration, and Scaled Agile Framework (SAFe) expertise to facilitate Agile events and processes and help teams deliver value. Knowledge of risk and dependency managementStrong organization, facilitation skills, and interpersonal skillsIndependent Thinking with a thirst for continual improvement.
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Contribute to and lead in the development of group TA opportunities focused on facets of consumer education including the research, preparation and facilitation of webinars, peer learning groups, trainings, communities of practice, etc.
Full-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The Sponsor seeks to develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.
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Experience with Cloud-based systems and/or Artificial Intelligence/Machine Learning Development. Maximus delivers innovative business process management and technology solutions that contribute to improved outcomes for citizens and higher levels of productivity, accuracy, accountability and efficiency of government-sponsored programs.
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Experience utilizing CUDA and NVIDIA GPU accelerated libraries for AI, machine learning, and deep learning tasks. Experience with deep learning and machine learning libraries including PyTorch, TensorFlow, Keras, and scikit-learn.
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IBTCI specializes in monitoring, evaluation, research, and learning (MERL) and institutional support across many areas and sectors including, but not limited to, conflict and crisis, democracy and governance, agriculture, economic growth, food security, education, environment, and global health.
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. Experience with front-end development using HTML, CSS, and JavaScript frameworks (e.g., React, Angular, Vue.js.
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Proficiency in data analysis tools (Python, R), machine learning frameworks (TensorFlow, PyTorch), and data visualization tools (Tableau, Power BI). As a Healthcare IT Data Scientist, you will play a vital role in leveraging data analytics and machine learning to drive actionable insights and innovations that enhance patient care, improve healthcare operations, and support strategic decision-making.
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Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
$118,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago
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