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4+ years of hands-on experience in AI/ML model development, including supervised and unsupervised learning, with a strong focus on Natural Language Processing (NLP) for unstructured data.
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Quality Assurance (QA), Test and Evaluation (T&E), privacy requirements, cybersecurity, assessment of opportunities to incorporate Artificial Intelligence ("AI") and/or Machine Learning ("ML") into ODRR Test and Evaluation which may include, Predictive Analytics, Natural Language Processing (NLP) and Large Language Models (LLM), Generative AI, Training models, navigating access, compliance, privacy, and security concerns across all applicable platforms, data types, and use cases.
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Applies database, statistical, machine learning, and natural language processing (NLP) algorithms to analyze large volumes of data, identify patterns, and uncover potential vulnerabilities and threats within the supply chain.
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A bit about us: As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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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.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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Experience and/or proficiency in Machine Learning, Artificial Intelligence, and/or Natural Language Processing. Experience developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
$144,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Knowledge of applying machine learning to ASIC verification flow. Mission: Groq is a machine learning systems company building easy-to-use solutions for accelerating artificial intelligence workloads.
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
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Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Train machine learning (ML) models for the creation of MT and natural language processing (NLP) models. Improves artificial intelligence/machine learning (AI/ML) tools and other applications in the client’s work environment, such as machine translation, speech or text recognition, input methods, keyboard/swipe technology, advancing searching, and other areas of human-machine interactions related to languages.
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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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Work with strategic analytics, data science, and data engineering personnel to evaluate and implement emerging solutions such as machine learning, artificial intelligence, and predictive analytics.
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machine learning natural processing jobs Title: specialist Company: Deloitte in Mclean, VA
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