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We are seeking an experienced Artificial Intelligence (AI) Tester to join our team. Skilled in AI development frameworks such as TensorFlow, PyTorch, scikit-learn, and/or Keras.. Understanding of and experience in machine learning and artificial intelligence testing.. Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military).. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development.
Lead Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS). As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.. At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).. McLean, VA: $193,400 - $220,700 for Lead Machine Learning EngineerNew York, NY: $211,000 - $240,800 for Lead Machine Learning EngineerRichmond, VA: $175,800 - $200,700 for Lead Machine Learning EngineerSan Francisco, CA: $211,000 - $240,800 for Lead Machine Learning Engineer. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
Design and maintain fraud rules and scoring logic for transaction monitoring systems. Ensure alignment with regulatory expectations, model risk governance, and internal audit requirements. Explore and implement new technologies (e.g., graph analytics, behavioral biometrics, NLP) for advanced fraud detection. Strong command of Python, R, SQL, and data science libraries (pandas, scikit-learn, TensorFlow, etc.. Exposure to real-time fraud systems (e.g., SAS Fraud Management, Actimize, Falcon, etc.)
🚀 Publish, present, and patent high-impact findings in AI and machine learning.. Conduct cutting-edge research in artificial intelligence, including areas such as natural language processing, computer vision, generative models, and reinforcement learning.. Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ACL, CVPR, ICLR) is highly preferred.. Expertise in machine learning, deep learning, or statistical modeling.. Experience with model development using TensorFlow, PyTorch, JAX, or similar frameworks
Experiment with and implement advanced LLM and Agentic AI technologies to enhance application capabilities. Ensure compliance with Duke Energy’s AI policies. Stay current with advancements in Gen AI, LLMs, Blockchain, and Quantum Computing. Knowledge of Natural Language Processing (NLP) and Computer Vision. Sign in to set job alerts for “Artificial Intelligence Specialist” roles.
BLH provides technology solutions for our Federal and commercial clients in the areas of Artificial Intelligence, Machine Learning, Systems Integrations, Network Infrastructure, Cloud Computing, Web Development and more.. · Perform a wide range of computer support services to formulate and implement proposed solutions to complex or specialized information technology problems.. · Develop and deploy machine learning models for automation and decision support in federal applications.. · Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.. · Strong understanding of data governance and ethical AI practices.
Collaborate across backend, frontend, and data teams to integrate AI agents, multi-agent orchestration workflows, and MCP-compliant tools into PRIMA’s Control Tower and runtime environments.. Design and implement cloud-native pipelines and infrastructure using IaC and DevSecOps principles. Strong experience with AI/ML libraries such as scikit-learn, SparkML, TensorFlow, PyTorch. Experience with Docker, Kubernetes, and container-based deployment. Strong experience with data mining, supervised, and unsupervised learning methodologies including data dimensionality reduction, correlation analysis, linear regression, PCA, clustering, random forest, etc.
We are seeking an experienced Machine Learning Engineer who will contribute to all phases of the machine learning algorithm development and implementation.. Have experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal.. Have proficiency in one or more of the following technology areas: multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, agentic AI.. The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges.. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development.
NET, LINQ, gRPC), communication protocols (e.g., WS-Biometric Devices, RTP/RTSP, WebRTC, HTTPS Live Streaming), and database systems (e.g., Oracle, MySQL, PostgreSQL, MongoDB, Elasticsearch).. Experienced in working with web services (RESTful and SOAP APIs), cloud platforms (e.g., AWS, Azure, GCS), and network infrastructure (e.g., routers, switches, web/database/mail/DNS/proxy servers, IDS/IPS, firewalls, DMZs).. Familiar with modern product development practices and tools, including Kubernetes, Docker, Git, Jira, Agile methodologies, DevOps, and CI/CD pipelines.. Knowledgeable in machine learning and deep learning development, including the use of frameworks such as TensorFlow, PyTorch, and Keras.. Familiarity with machine and deep learning development practices, frameworks/libraries (e.g. TensorFlow, PyTorch, Keras), employment, computing requirements and limitations when applied to computer vision, big data analysis and other complex tasks demanding Artificial Intelligence-like capabilities.
Join our team as an experienced Senior Data Scientist to extract valuable insights from complex datasets and apply advanced analytical and machine learning techniques to solve critical business problems within an AI tech company context.. You will be responsible for the full data science lifecycle, from data collection and cleaning to model development, deployment, and interpretation.. Minimum 6 years of experience in data science, statistical analysis, or machine learning.. Proficiency in programming languages such as Python or R, and extensive experience with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is often preferred for senior roles.
These techniques and systems benefit from big data, data mining, artificial intelligence, machine learning, cloud computing, & many other advance technologies.. In this position, you are first a hard-working and versatile data engineering leader that can work in a multifaceted environment as a member of Agile scrum teams.. You will be an integral part of the leadership team, setting up technical roadmap, introducing the latest machine learning and system technology to the team, working with development managers and teams to identify and resolve technical challenges, and working with different products and data science teams to streamline the feature request and model onboarding.. Exposure to innovative areas such as Machine Learning, Big Data, Distributed Systems or SRE.Experience in at least one of the following: Golang, Java, or C/C. A background in the fraud detection domain is a plus.
We are looking for a highly skilled NLP Data Scientist / Developer to design and implement natural processing solutions for real-world problems.. Work with state-of-the-art models (e.g., BERT/DeBERTa, spaCy, LLM APIs) and apply transfer learning techniques.. Experience with machine learning libraries like TensorFlow/PyTorch.. Bachelor’s or Master’s degree in Data Science, Computational Linguistics, Machine Learning, Applied Mathematics, Statistics, Computer Science or a related field.. Experience working with cloud platforms (AWS, Azure, GCP) and containerization (Docker).
We are looking for a highly skilled NLP Data Scientist / Developer to design and implement natural language processing solutions for real-world problems.. Work with state-of-the-art language models (e.g., BERT/DeBERTa, spaCy, LLM APIs) and apply transfer learning techniques.. Experience with machine learning libraries like TensorFlow/PyTorch.. Bachelor’s or Master’s degree in Data Science, Computational Linguistics, Machine Learning, Applied Mathematics, Statistics, Computer Science or a related field.. Experience working with cloud platforms (AWS, Azure, GCP) and containerization (Docker).
Job Description 10+ years experience with 3+ years of experience in designing big data solutions using Hadoop technology ecosystem. Lead the tool selection, technical design, development, testing, implementation, and support of key projects implementing Big Data technologies with client's data centers or on cloud providers like Amazon Web Services.. Research and evaluate technical solutions including various Hadoop distributions, NoSQL databases, data integration and analytical tools with a focus on enterprise deployment capabilities like security, scalability, reliability, maintainability, etc. Significant programming experience in multiple languages like Python, Java, Ruby, C#, etc.. Thorough knowledge of data integration technologies like Informatica (PowerCenter, IDS), Denono, etc
Artificial Intelligence/Machine Learning Engineer, Lead. As a machine learning engineer on our mission-driven team, you’ll train, test, deploy, and maintain models that learn from data.. Knowledge of foundational concepts of application development, infrastructure management, data engineering, and data governance. Master's degree in advanced math, artificial intelligence, data science, computer science, or deep learning and 10+ years of experience deploying machine learning algorithms, or Bachelor's degree in these fields with 17+ years of experience deploying machine learning algorithms. Ph. D. in advanced math, artificial intelligence, data science, computer science, or deep learning
Expertise in Python and R with advanced knowledge of relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow, Keras, etc. We are seeking a skilled and experienced Data Scientist / Artificial Intelligence / Machine Learning Engineer to join our team.. AI Technologies: Develop solutions using AI technologies such as deep learning, natural language processing (NLP), and computer vision.. Programming & Tool Expertise: Use Python, R, and other programming languages to manipulate data and build scalable, efficient models and analytics pipelines.. Leverage industry-standard libraries (e.g., TensorFlow, PyTorch, Scikit-learn) for machine learning and data manipulation.
AI/Machine Learning Engineer, Manager Consultant. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.. Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.. Skills in data visualization and storytelling with data.. Tagged as: Big Data , Data Visualization , Industry , Natural Language Processing , NLP , United States
Syntes AI, Inc. is the creator of the Syntes AI software platform—a cloud-based solution for Multi-Domain Data Management and Data Analytics using Artificial Intelligence and Machine Learning technologies.. Bachelor’s or Master’s degree in Applied Mathematics, Computer Science, Artificial Intelligence, Machine Learning, or a related field.. Solid understanding of mathematical and data processing techniques: linear algebra, graph theory, vector and matrix calculations, probability theory, and statistical analysis; advanced Excel skills for data analysis.. Knowledge of machine learning concepts and algorithms: knowledge representation, problem-solving, uncertain logic, neural networks, natural language processing, deep learning, reinforcement learning, large language models, and generative models.. Knowledge of containerization and orchestration technologies like Docker and Kubernetes.
Artificial Intelligence & Natural Language Processing Research Scientist Join to apply for the Artificial Intelligence & Natural Language Processing Research Scientist role at Howard University.. Howard University is seeking a Research Scientist to lead innovative projects in AI and NLP, mentor emerging talent, and advance technology in these fields.. Design and validate NLP techniques, contributing innovative solutions to the field.. Willingness to travel and obtain/maintain US Top Secret/SCI security clearance.. Expertise in ML frameworks (TensorFlow, PyTorch) and data formats (JSON, XML).
Become a part of our caring community and help us put health first. Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.. Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).. Knowledge of natural language processing (NLP).. Familiarity with big data and data streaming technologies (e.g., Hadoop, Spark, kafka).