1 to 25 of 412 Natural Language Processing Jobs

ability to obtain a Public Trust clearance to be considered. As required by our governmental client, this position requires being a US Citizen. The Clinical Terminologist will focus on natural language processing, vocabularies, and decision support within HITSS/RPMS terminologies. Responsibilities include extending and enhancing IHS terminologies, collaborating with federal leads, software engineers, clinical specialists, and … and others. Proven record of accomplishment of successfully managing terminology services projects. Knowledge of relevant healthcare regulations, including HIPAA and standards compliance.Develop and maintain HITSS/RPMS terminologies for natural language processing and decision support. Evaluate, plan, and execute improvements to enhance the scope … and quality of IHS terminologies. Collaborate with federal leads, software engineers, clinical specialists, and product analysts. Identify appropriate terminology standards and map customer terminologies to these standards. Work with NLP experts and engineers to develop information extraction methods. Collaborate with decision support experts to create clinical decision support methods. Address customer, engineer, and business owner requests for terminology additions. Review More ❯

analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language. • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to support and automate entity recognition and extraction, summarization, in accordance with analytic tradecraft standards, to enhance advanced analytic integration … Review and edit translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards. • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability with existing knowledge modeling and knowledge graph … processes, access and integrate disparate data sets, and maintain internal tools for analytic production. • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to support and automate entity recognition and extraction, summarization, in accordance with analytic tradecraft standards, to enhance advanced analytic integration More ❯

research teams prototyping and developing AI/ML algorithms. You will support the development of AI/ML algorithms in a multitude of disciplines including object detection/classification, natural language processing, reinforcement learning, and large language models. You will be joining our team of AI/ML engineers and researchers to apply cutting-edge AI … Machine Learning, Computer Science, Mathematics, or related fields Experience leading an interdisciplinary team of researchers and software developers Experience with any of the following AI/ML domains: Large Language Models … and experience identifying ways to incorporate them into new areas and applications Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision Object detection algorithms such as YOLO and Faster-RCNN Natural Language Processing algorithms such as BERT Generative Adversarial Networks and Variational Autoencoders Reinforcement More ❯

e.g., AWS, Azure, Google Cloud). Experience with leveraging Large Language Models (LLMs) such as GPT, or similar frameworks for tasks like natural language processing (NLP), text generation, summarization, or conversational AI. Excellent problem-solving and communication skills. Desired Qualifications: Advanced degree (Master's or PhD) in Data Science, Artificial Intelligence, or a related field. Experience … with natural language processing (NLP) and computer vision techniques. Familiarity with Army Intelligence Enterprise data requirements and workflows. Knowledge of MLOps practices and tools for deploying and maintaining AI models. Clearance: Candidate must have an active TS/SCI clearance with the ability to obtain TS/SCI with Poly. More ❯

e.g., AWS, Azure, Google Cloud). Experience with leveraging Large Language Models (LLMs) such as GPT, or similar frameworks for tasks like natural language processing (NLP), text generation, summarization, or conversational AI. Excellent problem-solving and collaboration skills. Desired Qualifications: Advanced degree (Master's or PhD) in Machine Learning, Artificial Intelligence, or a related field. Experience … with natural language processing (NLP), computer vision, or reinforcement learning. Familiarity with Army Intelligence Enterprise data requirements and workflows. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Clearance: Candidates must have an active TS/SCI with the ability to obtain a TS/SCI with Poly. More ❯

extract insights from complex, high-volume datasets offering expertise in AI/ML, Large Language Models (LLM), Generative AL, and/or Natural Language Processing (NLP) Apply statistical and deep learning techniques to support predictive modeling, classification, natural language processing, and pattern recognition Collaborate with analysts, engineers, and mission partners to understand requirements … s or advanced degree (or equivalent experience) in AI/ML, Data Science, Math, or related technical field. 8+ years of experience in data science, AI/ML, large language models (LLMs), and emerging technologies, including solution architecture, model development, and deployment in complex environments. Proficient in Python, R, and/or Java for machine learning, data processing More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a … conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions … wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science More ❯

Visio) and PDFs (documents, drawings). The documents are related to USN Requirements which are managed in IBM DOORS NextGen. Develop and apply natural language processing (NLP), machine learning, and potentially Large Language Models (LLMs), e.g., GPT, RAG, BERT, to documents and data. Meet your Recruiter: Qualifications To be successful in this role, you will have … industry experience spanning: Extract, Transform, Load (ETL) operations on multiple types of databases and data categories; experience with Sharepoint, MS 365, SQL, and Power Platform. Experience developing and applying natural language processing tools and machine learning tools to find, parse, and extract patterns or targeted data sets. Knowledge of some or all of these Python libraries/ More ❯

modeling to support organizational transformation, performance measurement, and process improvement initiatives. Design and implement simulations, machine learning models, and artificial intelligence solutions. Apply Natural Language Processing (NLP) techniques including keyword extraction and sentiment analysis. Use statistical and data mining techniques such as regression, clustering, boosting, and decision trees to generate insights. Develop dashboards, reports, and visualizations using … in predictive modeling, simulation, artificial intelligence, and machine learning. Experience and expertise in statistical and data mining techniques such as Regression, Boosting, Clustering, Trees, etc. Must have experience in Natural Language Processing (keyword extraction and sentiment analysis), algorithm design. Mandatory proficiency in analytics programming language such as SAS , Python , R , and Scala . Visualization skills such More ❯

commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including … knowledge sharing community Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions … e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field. Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch More ❯

and shares jointly in team responsibility for development of advanced analytic techniques and assessments. • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability with existing knowledge modeling and knowledge graph … and processes to investigate, prototype, and evaluate technologies to improve all-source intelligence analysis. • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to support and automate entity recognition and extraction, summarization, in accordance with analytic tradecraft standards, to enhance advanced analytic integration More ❯

CBP customer. Develop, train, and deploy advanced AI/ML and Gen-AI models. Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models. Optimize model performance, ensuring accuracy, efficiency, and scalability. Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual … Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically. Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs). Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional) Experience with machine learning and generative AI frameworks. Experience with natural … architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems. Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch. Proficiency in NLP Tools SpaCy, ThinC, Gensim. Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok. General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep More ❯

sector. In this role, you'll help architect and deploy cutting-edge, AI-driven mission systems for government clients . You'll work with high-throughput platforms capable of processing billions of data points, contributing to secure, distributed infrastructures and advanced machine learning pipelines that power real-world impact. This role is Hybrid out of Washington D.C. Responsibilities of … Machine Learning Engineer: Active U.S. Security clearance (Top Secret, TS/SCI, can hold CI or FS POLY) Extensive background with computer vision, deep learning, deep reinforcement learning, and natural language processing in a production environment Strong background with algorithms, data structures and object oriented programming High level programming in Python , along with experience in TensorFlow or … PyTorch Experience deploying machine learning models in cloud environments (preferably AWS or GCP) Experience with generative AI models, agentic systems, and large language models Familiar with agentic model design and ML evaluation frameworks Degree in Computer Science, Machine Learning, or Artificial Intelligence is a plus Compensation and Benefits: $170,000 - $240,000+ Dependent on experience Comprehensive Benefits: Medical, Dental More ❯

structured project work within government, defense, or research settings. Key Responsibilities: Perform linguistic analysis, translation, and corpus annotation in Mandarin Chinese. Contribute to natural language processing (NLP), machine translation, or data curation initiatives. Support multidisciplinary teams on classified or sensitive projects requiring cross-language analysis. Collaborate with computational linguists, data scientists, and analysts to refine models … and datasets. Develop or evaluate language resources, lexicons, and tools to enhance language processing performance. Document methodologies, maintain linguistic data integrity, and contribute to project deliverables. Minimum Qualifications (Hard Requirements): Active U.S. Government Security Clearance - Secret or higher (TS preferred). Native or fluent proficiency in Mandarin Chinese and professional proficiency in English. Bachelor's degree or … field. Demonstrated experience working in structured project environments (e.g., government contracts, research programs). Preferred Qualifications: Master's or Ph.D. in Linguistics, Computational Linguistics, or related discipline. Experience with NLP toolkits or frameworks (e.g., Python, spaCy, Hugging Face, NLTK). Background in defense, intelligence, or R&D projects. Familiarity with linguistic annotation tools, corpus design, or multilingual NLP pipelines. Strong More ❯

PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing Demonstrated experience in Agile software development teams using scrum techniques More ❯

from diverse sources, including big data environments. This role combines traditional data analysis with advanced analytics capabilities to drive organizational decision-making and business performance. Job Responsibilities: Data Architecture & Processing: Design and develop methods, processes, and systems to consolidate and analyze structured and unstructured data from diverse sources including "big data" sources. Develop and use advanced software programs, algorithms … querying and automated processes to cleanse, integrate and evaluate datasets. Model complex business problems using sophisticated analytical approaches. Manage all aspects of end-to-end data processing utilizing customized report building functions. Design, develop, and modify data infrastructure to support analytical requirements. Advanced Analytics & Machine Learning: Apply disciplines such as Natural Language Processing, Machine Learning, Predictive … U.S. citizen and have an active Top Secret Clearance with SCI and CI Polygraph. Proficiency in software programs, algorithms, and querying languages (e.g., SQL, Python, R). Experience with Natural Language Processing, Machine Learning, and Predictive modeling. Strong foundation in Statistical Analysis and Hypothesis testing. Knowledge of big data technologies and platforms. Experience with data visualization tools More ❯

experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of programming with at least one software programming language experience - Experience as a mentor, tech lead or leading an engineering team - Experience with machine learning frameworks (e.g. PyTorch, TensorFlow) - 3+ years of hands-on experience with machine learning … and deep learning methods, including model training, fine-tuning, and inference, with a strong focus on predictive modeling and natural language processing - Proven track record of building, deploying, and operationalizing ML models on cloud platforms (e.g. Amazon SageMaker), ensuring scalability and performance in real-world applications - Hands-on experience with generative AI technology PREFERRED QUALIFICATIONS - 5+ years … code reviews, source control management, build processes, testing, and operations experience - Master or PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing - Strong ability to interact, communicate, present, and influence within multiple levels of the organization Amazon is an equal opportunity employer and does not discriminate on More ❯

s committed to transforming returns management while contributing to a more sustainable future. Key job responsibilities -Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy … modeling techniques to power our ML models BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PREFERRED QUALIFICATIONS - Experience in building machine learning models … for business application - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree - Experience in building Computer Vision (CV) systems. Our inclusive culture empowers Amazonians to deliver the best results for More ❯

code includes parsers, query parsers, publisher, consistency check, APIs, monitoring utilities, and XSLT transforms. The candidate will work with state-of-the-art technologies including Solr/SolrCloud, Lucene, Natural Language Processing, Machine Learning, Linux, Groovy, Python, Splunk, Prometheus, Grafana, DevSecOps, Jenkins, Maven, GitLab, Nexus, Ansible, TDD, BDD, JMeter, and other open-source frameworks. Skills qualifications: 7+ … and structured content using core Java, regular expressions and NLP. XML skills including JAXP parsing and XSLT/XPath transforms for indexing. Experience using a templating engine and dynamic language to decorate search results and extend Java API (for example, Groovy, Scala or Python). Monitoring experience with Prometheus and Grafana. DevOps experience with Git/GitLab, Jenkins, Maven … written documentation skills. Must be eligible to obtain a Public Trust Preferred qualifications: Docker and Kubernetes for containerized deployments and microservices. Microsoft Azure or AWS. Experience with machine learning, natural language processing, and vector search. Education: A Bachelor's Degree in Computer Science. Benefits: 15 days paid time off per year 11 paid holidays per year Medical More ❯

teams to identify knowledge gaps and develop solutions to address them. Leverage data science, AI, and ML techniques to enhance knowledge management practices, including data analysis, predictive modeling, and natural language processing. Develop and maintain machine learning models to automate knowledge extraction, classification, and retrieval processes. Oversee the creation, organization, and maintenance of knowledge repositories, databases, and content … in knowledge management and tools such as SharePoint, Jira, and Confluence. Understanding of knowledge management principles and best practices. Desired Qualifications Experience with natural language processing (NLP) and text analytics. Familiarity with knowledge management systems (e.g., SharePoint, Confluence, and Jira). Certification in knowledge management or related areas. Strong analytical and problem-solving abilities. Effective communication and More ❯

academic, research, and administrative units to drive innovation and institutional effectiveness. Artificial Intelligence and Machine Learning Expertise - Demonstrated ability to design and apply AI/ML solutions, such as natural language processing and predictive analytics, to improve academic, research, and operational outcomes. Strategic Leadership in Data and Digital Transformation - Proven skill in developing and executing enterprise-level … responsible for overseeing the development, implementation, and governance of advanced analytics platforms, AI tools, and research computing environments. The AVP ensures that systems supporting machine learning, predictive modeling, and natural language processing are scalable, secure, and accessible to stakeholders across academic, administrative, and research domains. The role requires close coordination with IT, the Office of Research, and More ❯

NLP/GenAI Data Scientist (3 - 6 months)Python coding & NLP and LLMs experience is EssentialLocation: 3 days onsite - do not apply if needing fully remote)Certain Advantage are recruiting on behalf of our global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic … design, intelligent plant monitoring, and autonomous exploratory systems.We’re seeking a Data Scientist with good hands on python skills and a focus on Natural Language Processing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented … Generation (RAG) systems, and domain-specific GenAI solutions to support key internal use cases and products. Responsibilities In this role you will: Design, implement and maintain scalable NLP and GenAI pipelines (including data processing, preprocessing, evaluation). Perform advanced data analysis on real-world datasets to extract meaningful insights and support decision-making processes. Stay up to date with More ❯

validation, and monitoring. Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. Experience with cloud computing infrastructure. Experience with Computer Vision, image processing and video analytics. Experience with Natural Language Processing/Natural Language Understanding. Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Experience … and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases. Ability to work individually, and as part of a team. Advanced verbal, written, interpersonal, and presentation skills to communicate More ❯

Dear Partner, Good Morning ,Greetings from Nukasani group Inc !, We have below urgent long term contract project immediately available forSenior Data Scientist AI Agent Architectures, LLMs, NLP, Woodland Hills, CA, Onsite need submissions you please review the below role, if you are available, could you please send me updated word resume, and below candidate submission format details, immediately. If you … Role We are seeking a highly experienced Senior Data Scientist with deep expertise in AI agent frameworks, large language models (LLMs), and natural language processing (NLP), particularly within the healthcare domain. You will lead the design and development of intelligent, autonomous agents leveraging cutting-edge technologies like Agent-to-Agent (A2A) protocols and Model Context Protocols … workflows. Multi-Agent Systems:Build intelligent, orchestrated systems powered by LLM-driven planning to streamline clinical summarization, prior authorizations, benefit processing, and member engagement. Domain-Specific LLM/NLP:Fine-tune and operationalize specialized models such as medical BERT orBioGPT for clinical document understanding, intent classification, and plan personalization. Knowledge Retrieval & Grounding:Develop retrieval-augmented generation (RAG) frameworks using More ❯

Anywhere, and Power Automate. Ensuring all solutions are rigorously tested for functionality, technical standards, and accessibility (Section 508 compliance). Apply skills with Natural Language Processing (NLP), Large Language Models (LLMs) like Llama 3, Mistral, or Gemma 2, and vector databases (ChromaDB, Pinecone, or Qdrant) to develop cutting-edge solutions. Utilize Retrieval-Augmented Generation (RAG) frameworks … in information security and the ability to implement secure AI systems. Experience in process automation and leveraging AI/ML technologies to solve business challenges. Experience Deep Learning and NLP, including a strong understanding of LLMs and RAG frameworks. Hands-on experience with vector databases and cloud/container orchestration tools like Docker and Kubernetes. Experience with regulatory compliance standards More ❯