26 to 50 of 318 Natural Language Processing Jobs

Come join an exciting new project utilizing cutting edge technologies in Chantilly, Virginia. Skill-sets: Python, Databricks, LLM (Large Language Model), NLP (Natural Language Processing), model tuning, containerization (Docker/Kubernetes), model validation/testing, prompt engineering, scaling/optimization techniques, software development, and Apache Spark. More ❯

cases. Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More ❯

ecosystem. Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More ❯

one of the following areas, with broad knowledge across AI/ML: AI/ML for imagery (including remote sensing applications) Reinforcement learning Natural Language Processing (NLP) and Large Language Models (LLMs) Knowledge graphs and graph-based neural networks AI/ML for RF, EW, radar, sonar, or acoustics Autonomy Desirable: Evidence of publication in relevant More ❯

one of the following areas, with broad knowledge across AI/ML: AI/ML for imagery (including remote sensing applications) Reinforcement learning Natural Language Processing (NLP) and Large Language Models (LLMs) Knowledge graphs and graph-based neural networks AI/ML for RF, EW, radar, sonar, or acoustics Autonomy Desirable: Evidence of publication in relevant More ❯

one of the following areas, with broad knowledge across AI/ML: AI/ML for imagery (including remote sensing applications) Reinforcement learning Natural Language Processing (NLP) and Large Language Models (LLMs) Knowledge graphs and graph-based neural networks AI/ML for RF, EW, radar, sonar, or acoustics Autonomy Desirable: Evidence of publication in relevant More ❯

one of the following areas, with broad knowledge across AI/ML: AI/ML for imagery (including remote sensing applications) Reinforcement learning Natural Language Processing (NLP) and Large Language Models (LLMs) Knowledge graphs and graph-based neural networks AI/ML for RF, EW, radar, sonar, or acoustics Autonomy Desirable: Evidence of publication in relevant More ❯

learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More ❯

learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More ❯

We specialize in streamlining data-intensive workflows, driving digital transformation, and delivering intelligent automation solutions for enterprises worldwide. Our TotalAgility platform is at the forefront of revolutionizing intelligent document processing, workflow automation, and process orchestration. About This Role We are seeking a highly skilled and innovative AI Solutions Architect to design and implement cutting-edge AI-driven solutions using … Maintain a firm understanding of all primary Tungsten Automation solutions and offerings AI and ML Capabilities : Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction, and decision-making workflows Programming and Development : Apply relevant programming skills (e.g., Python, Java, or .NET) to support solution … AI-driven automation, or a related field, with a focus on enterprise-scale implementations Deep AI expertise with technical understanding of AI/GAI technologies, including LLMs, machine learning, NLP, and computer vision, and their application in business automation Platform knowledge with strong technical knowledge of the TotalAgility platform or similar intelligent automation platforms Integration experience with expertise in using More ❯

frameworks (e.g., TOGAF, Zachman). • Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP). • Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes. • Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud) for building scalable data More ❯

frameworks (e.g., TOGAF, Zachman). - Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP). - Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes. - Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud) for building scalable data More ❯

of machine learning algorithms (e.g., regression, classification, clusting, dimensionality reduction, deep learning architectures). Experience with data preprocessing, feature engineering, and data visualization techniques. Familiarity with data storage and processing technologies (e.g., SQL, NoSQL databases, Spark, Hadoop). Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services. Understanding of software development principles, version control (e.g. … to effectively communicate technical concepts to both technical and non-technical audiences. Preferred Skills: Experience with specific areas of machine learning such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems. Experience with MLOps practices and tools for automating and monitoring machine learning workflows. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes. Experience More ❯

About you: You will be a skilled Conversational AI – Technical Trainer to create and deliver in-depth training programs on conversational AI and natural language processing (NLP). The ideal candidate will have a hands-on technical training session covering conversational AI, suitable for those with some background and practical experience in the field, including building and … Requirements: Modify training to suit specific industries, ensuring it aligns with best practices and regulatory standards. Create Training Programs and Materials: Develop modules and engaging resources on conversational AI, NLP, and chatbot design. Assess Training Impact and Learner Progress: Evaluate participant understanding and refine content based on feedback and performance. Stay Current with Industry Trends and Tools: Update training materials … with the latest developments in AI, NLP, and machine learning. Qualifications: Bachelor’s or Master’s in Computer Science, Linguistics, AI, or related fields. Experience working in AI/NLP with experience in conversational AI development. Proven experience delivering technical training on conversational AI to diverse audiences. Holding certification that relevant AI/ML certifications (e.g., Google Professional ML Engineer More ❯

frameworks (e.g., TOGAF, Zachman). • Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP). • Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes. • Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud) for building scalable data More ❯

AI driven process efficiencies. • Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, and natural language processing (NLP) to drive NFCU value outcomes. Qualifications • Bachelor's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field. • Experience in leading, designing, implementing, and managing More ❯

AI driven process efficiencies. Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, and natural language processing (NLP) to drive clients value outcomes. Qualifications Bachelor's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field. Experience in leading, designing, implementing, and managing More ❯

and integrating artificial intelligence solutions within web applications. The candidate must have hands-on experience in developing intelligent features, leveraging machine learning models, natural language processing (NLP), computer vision, or other AI technologies to enhance user experience, automate processes, and drive business value in web-based platforms. Key Responsibilities: Design, develop, and deploy AI-driven features and … Familiarity with web technologies: REST APIs, HTML/CSS, JavaScript frameworks (React, Angular, etc.). Understanding of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Knowledge of NLP, computer vision, or recommendation systems is a plus. Excellent problem-solving and communication skills. Proven experience as an AI Developer, Machine Learning Engineer, or similar role focused on web applications. … Java, Spring, Spring MVC, Python, JavaScript, and HTML Prior work on AI integration in web applications. Experience with MLOps and CI/CD pipelines for model deployment. Experience with NLP, computer vision, recommendation systems, or other specialized AI domains applied to the web. Exposure to containerization (Docker, Kubernetes) and CI/CD pipelines. Background in user experience design or human More ❯

pushing the boundaries of artificial intelligence? Do you thrive on solving complex challenges and developing cutting-edge solutions. We are seeking a talented Natural Language Processing (NLP) Engineer to join a AI Research Team and contribute to ground-breaking innovations in AI. What You’ll Do: Conduct cutting-edge research to tackle real-world AI challenges. Develop … the global research community Who You Are: A PhD holder in ML/AI, Computer Science/Engineering, or a related field. A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning. Hands-on experience in one or more of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/ More ❯

frameworks (e.g., TOGAF, Zachman). • Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP). • Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes. • Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud) for building scalable data More ❯

ML technologies to improve search, including but not limited to XGBoost, sentence transformers, Large Language Models (LLMs), and vector embeddings. Experience with Natural Language Processing (NLP) techniques relevant to search (e.g., entity recognition, query understanding, semantic search). Experience with working on high-traffic eCommerce platforms or SaaS solutions, understanding the unique challenges of performance, scalability More ❯

ML technologies to improve search, including but not limited to XGBoost, sentence transformers, Large Language Models (LLMs), and vector embeddings. Experience with Natural Language Processing (NLP) techniques relevant to search (e.g., entity recognition, query understanding, semantic search). Experience with working on high-traffic eCommerce platforms or SaaS solutions, understanding the unique challenges of performance, scalability More ❯

about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical … study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure Open source involvement More ❯

requirements and translate them into technical solutions.Optimize machine learning models for speed, accuracy, and efficiency.Research and implement the latest advancements in deep learning, natural language processing (NLP), computer vision, and reinforcement learning.Create robust data pipelines to preprocess, clean, and transform large datasets for training machine learning models.Perform data analysis and visualization to extract meaningful insights and improve More ❯

EXPERIENCE • Working with regular expressions and developing solutions with Python, Linux basics, Sigma, ION, Analyst Notebook, Data Manipulation, and basic Social Network Analysis • Natural Language Processing (NLP) in one or more of the following: text preprocessing and cleaning for downstream NLP tasks, information extraction, Named Entity Recognition (NER), identity matching, text normalization, automatic summarization, NLP evaluation, machine … translation, machine transliteration, document exploitation pipelines, multilingual computing, ontology management, or computational lexicography Experience in: • Maintaining and managing a custom language model • Leading qualitative research and program evaluation activities • Developing presentations and provide briefings to middle and senior management • Delivering visual representation of data using charts and graphs • Analyzing information and identifying implications for policy, processes, communications and training More ❯