7,654 AI Technologies jobs in the United States
Part Time Trainer-Programming (Python, AWS & AI Technologies)
Posted 7 days ago
Job Viewed
Job Description
Posting Details (Default Section)
Posting Number:
0603688
Position Title:
Part Time Trainer-Programming (Python, AWS & AI Technologies)
Position is:
Part Time
Position Type:
Staff Position (Full Time/Part Time)
Department/Ofc.:
Workforce Development
Position Description:
Picture Yourself here !
Why Join WCC?
- An inclusive, welcoming environment for our students, faculty & staff
- WCC tuition waiver of 3 credit hours per semester
- Retirement options and flexible schedules available
- Great Discounts at WCC's Health & Fitness Center, Barnes & Noble Bookstore and more!
- Check out our Part Time Benefits here
• Check out current offerings Corporate Training .
Essential Job Duties and Responsibilities:
- Deliver engaging and practical instruction in Python programming, AWS cloud services, and introductory AI concepts.
- Create or adapt instructional content based on program objectives and learner needs.
- Teach in-person and/or virtually in a high-quality, interactive manner.
- Collaborate with stakeholders including program staff, students, and community/industry partners.
- Attend orientation and complete required compliance training.
- Maintain timely communication with learners and staff.
- Propose new course offerings annually aligned with tech industry trends.
- Stay current in field of expertise and contribute to continuous course improvement.
- Assist with course marketing and outreach efforts.
- Submit required materials such as syllabi, attendance, and evaluations on time.
- Perform other related duties as assigned.
Minimum Required Knowledge, Skills and Abilities:
• Demonstrated expertise in Python, AWS, and/or AI-related technologies.
• Experience teaching or training adult learners, especially in a professional or workforce setting.
• Ability to design and deliver technical content in an accessible, engaging format.
• Comfortable using virtual platforms for teaching (Zoom, MS Teams, etc.).
Available to teach evenings and/or weekends as needed
Preferred Qualifications:
Preferred Qualifications:
- Professional certifications (e.g., AWS Certified, Google AI, CompTIA)
- Industry experience applying programming or AI in real-world projects
- Experience working with non-traditional or underserved learners
Posting Date:
06/18/2025
Closing Date:
Open Until Filled
Yes
Special Instructions to Applicants:
Our college strives to make a positive difference in people's lives through accessible and excellent educational programs and services.
Washtenaw Community College seeks to recruit and retain a productive workforce as a reflection of our commitment to serve our community and to build on the success of our students, faculty & staff. Washtenaw Community College is committed to creating a welcoming environment.
Washtenaw Community College is an Equal Opportunity Employer.
Salary/Hourly Rate:
$60
Salary Comments:
Publicly available compensation information can be found: Here
Data Science
Posted 3 days ago
Job Viewed
Job Description
Duration-Contract
Location- Urbana, MD
JD
•Minimum 7 years of IT Experience•Minimum 2 years of experience in developing AI enabled solutions•Expert level competency in Python•Hands-on experience developing and deploying Machine Learning solutions•Good knowledge and experience in developing GenAI embedded solutions•Hands-on experience with AI cloud services is an added advantage Key Responsibilities:•Machine Learning based model building, validation, deployment, and monitoring•Developing MLOps solution for continuous development , deployment, and monitoring of solutions•Developing GenAI embedded solutions across various use cases•Rapid experimentation of GenAI use cases using Azure cloud AI and data services•Development and deployment of GenAI embedded solutions using open source solutions
Regards,
Pallavi Verm
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
Data Science
Posted 5 days ago
Job Viewed
Job Description
Data Analyst Role at ROBOTICS TECHNOLOGIES LLC Join a data-driven organization focused on data analysis, profiling, and visualization. Analyze critical data to generate insights Hands-on experience with R and Python Proficiency in visualization tools like Tableau Identify data patterns and provide actionable insights Develop and implement statistical models for data analysis Experience in marketing and customer analytics Understanding of various data domains within the retail industry Ability to comprehend business processes and communicate effectively with stakeholders ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer committed to diversity and inclusion, including female, minority, disability, and veteran candidates. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, or immigration status. #J-18808-Ljbffr
Data Science
Posted 7 days ago
Job Viewed
Job Description
Job Responsibilities Define creative solutions to business problems using advanced algorithms and models. Build and manage a high performing team. Use machine learning and predictive modeling to develop data driven solutions that drive substantial business value to the external consumers and internal stakeholders/partners. Work to instill data best practices around the organization. Help with process, methods, and education. ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. #J-18808-Ljbffr
Data Science
Posted 13 days ago
Job Viewed
Job Description
Our client, based in San Francisco, is seeking a Director of Data Science for an immediate opportunity! The ideal candidate will be a proven leader, with deep analysis and programming skills and have an exemplary understanding of statistics and hypothesis testing. Candidates will work with digital marketing teams for all business models, statistics, and ensure the proper information required is provided from different data sources. Job Responsibilities: Be a leader and source of knowledge for the data scientist, to support and deliver AI/ML based products. Work with clients to test optimization strategies. Work with clients to develop innovative solutions and proofs of concept. Work with R&D and Product Engineering teams to build AI/ML based products. Foster Data driven methodology and practice within the company. Integrate deeply with C-level business leadership as a trusted and influential contributor to data-driven decision making, ensuring maximum impact of Data Science outputs. AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). #J-18808-Ljbffr
Assistant Professor in Culturally Responsive AI-Based Technologies
Posted today
Job Viewed
Job Description
Teaching responsibilities may include working with community mental health providers and organizations to implement high-fidelity evidence-based mental health practices, with an emphasis on teaching community providers to use a culturally responsive approach.
Clinical responsibilities may include supervision of postdoctoral fellows in the implementation of CBT, as well as consultation with community providers on the application of CBT and culturally responsive strategies with their clients.
Research or scholarship responsibilities may include leading and collaborating in the development of implementation research and practice; academic scholarship; development of training and implementation resources; and grant/contract funded submissions.
We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply.
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.
Director, Data Science Platform | Data Science Platform
Posted 14 days ago
Job Viewed
Job Description
The newly-created Data Science Platform (DSP) supports and advances the research objectives of Rockefeller Universitys faculty and staff by providing training and consultative support in the field of data science especially in the areas of machine learning and artificial intelligence (ML/AI) and deep learning (DL).
Overview
Reporting to the Chief Information Officer, and working primarily with Faculty, Research Staff, Postdoctoral Fellows, and Graduate Students, the Director leads a team of seven (7) Machine Learning Engineers that identify and work closely with internal and external resources to determine how to most effectively support University researchers' needs for applying ML/AI and/or other quantitative approaches to new and existing data sets across a wide variety of disciplines, including structural biology, imaging, microscopy, "omics," neuroscience, immunology/virology, and the physical sciences. The position also includes leadership of the Fisher Center AI Platform, which seeks to apply AI/ML techniques to understand the causes of Alzheimer's disease, improve the care of people living with it, and find a cure.
Responsibilities
Responsibilities include, but are not limited to the following:
+ Consult on experimental design and best usage, with emphasis on best practices for proper analysis and reproducibility;
+ Recruit and manage Data Science Platform staff members;
+ Develop and lead training/classes in ML/AI fundamentals and techniques; adapt and evolve training to best serve the changing needs of the research community;
+ Identify, improve, and/or create appropriate training data sets for ML/AI projects;
+ Advise researchers and collaborators on method selection and implementation, as well as on how to direct research projects to ensure alignment with emerging advancements in deep learning;
+ Maintain awareness of advances in the field and their applicability to problems of interest to members of Rockefeller's research community;
+ Identify and apply for appropriate grant funding opportunities;
+ Additional duties and special projects as assigned.
Qualifications
**REQUIRED QUALIFICATIONS:**
+ Ph.D. or equivalent degree in data science, machine learning, artificial intelligence, computer science, electrical engineering, statistics or a related field.
+ A minimum of ten (10) years of research experience in identifying, formulating and solving biological problems through the application of advanced artificial intelligence technologies.
+ At least two (2) years of leadership experience.
+ A strong publication record in top-tier venues focused on machine learning, artificial intelligence or their domain-specific applications, such as AAAI, NeurIPS, ICML, ICLR, IJCAI, KDD, ICCV, ECCV, CVPR, EMNLP, ACL, MICCAI, IJCV, TPAMI, TIP, ACM-MM, Nature, Nature Methods, Science and equivalent conferences and journals.
+ Broad knowledge on recent advances in artificial intelligence, such as foundation models (including large-language models, vision-language models, genomic foundation models, etc.), generative models, self-supervised learning, large-scale distributed training, efficient deep learning, with research expertise in at least one relevant field.
+ Basic knowledge of the deep learning tool stack, such as PyTorch, Python, CUDA, Linux, and computing cluster management.
+ Must possess excellent communication and interpersonal skills.
**PREFERRED QUALIFICATIONS:**
+ Prior work experience in a research related, academic environment is a plus.
The Rockefeller University is an equal opportunity employer - veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status.
The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Compensation Range: Min
USD $175,000.00/Yr.
Compensation Range: Max
USD $190,000.00/Yr.
Be The First To Know
About the latest Ai technologies Jobs in United States !
Data Science Analyst
Posted today
Job Viewed
Job Description
In support of the Joint Navigation Warfare Center (JNWC) contract, you will be part of our team’s efforts to empower the Department of Defense’s navigation warfare (NAVWAR) mission to ensure positioning, navigation, and navigation timing superiority. Our mission is to provide combatant commanders and joint force commanders with subject matter expertise on planning and conducting NAVWAR by providing knowledge of friendly and enemy NAVWAR Order of Battle and PNT-related successes and threats.
More about this specific role
As a Data Science Analyst in the Joint Navigation Warfare Center (JNWC) you will help empower the Department of Defense’s navigation warfare (NAVWAR) mission ensuring positioning, navigation and timing superiority. You will serve a s a member of a team providing combatant commanders and joint force commanders with subject matter expertise on planning and conducting NAVWAR by providing knowledge of friendly and enemy NAVWAR order of battle and PNT-related successes and threats. You will support the Government with the integration, at the theater strategic level, of C4, cyber, and cyberspace operations into JNWC's strategic and operational objectives.
Responsibilities
- You will utilize classified and unclassified analytical tools and expert analysis to support regional and global threat assessments to facilitate understanding of the threat picture.
- Oversee and support delivering multi‐layered, multi-intelligence research products focused on existing, evolving, and emerging improvised threats.
- Provide detailed threat analysis and assessments against various national and global threats to identify risks, gaps, and vulnerabilities and recommend countermeasures.
- Utilize tools and tradecraft to provide timely, relevant, and understandable analysis and intelligence material to inform decision‐makers and influence outcomes.
- Assist supported unit intelligence personnel in carrying out assigned tasks.
- Work closely with other Analysts, Planners, and Integrators in developing a range of operations and intelligence products and material and training solutions.
- Provide consistent real‐time updates of current analyses and assessments to existing Intel databases.
- Ensures coordination with higher headquarters, Intelligence Community, Allies, and Partner Nations.
- The position may require CONUS/OCONUS travel and shiftwork supporting operations, exercises, and conferences
- Due to the nature of the position, if selected, you will be subject to a government security investigation and must meet eligibility requirements for access to classified information
Qualifications
- You must be a US citizen
- You must be able to obtain an i nterim Secret clearance to start with a pathway to achieving TS+SCI.
- 5 Years of relevant experience
- Experience conducting multi‐discipline intelligence analysis
- Experience conducting Analysis in a deployed PNT environment
- Experience providing Analytical support to operations
- BA/BS in business, math, statistics, data science, computer science, engineering, or other related field
These Qualifications Would be Nice to Have
- MA/MS in a related field
- Graduate of a military Intermediate Level Education (ILE) course (e.g. Army Command and General Staff College or another service equivalent)
- Graduate of a Joint Professional Military Education (JPME) course (e.g. Naval Command and Staff or another service equivalent)
- Graduate of the School of Advanced Military Studies (SAMS) or a Joint War College
Salary Max : 103K
BlueHalo, an AV company pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.
Our compensation package also includes components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These benefits include health insurance, life insurance, disability, company holiday and paid time off, parental leave, 401(k) company match and contributions, professional development/training reimbursements, and other work/life programs.
Education Required- Bachelors or better
- Top Secret SCI
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Manager Data Science
Posted 1 day ago
Job Viewed
Job Description
Manager , Data Scientist, Representation Learning for Customer Protection
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description-
The Retail Bank Customer Protection Data Science team has a relentless focus on innovation with a passion for improving customer experiences around fraud prevention. Detecting and preventing fraud behaviors as early as possible helps keep customer funds secure and enables the Bank to grow with confidence. Our team is constantly investing to improve and complement existing model-based defenses with the latest and greatest techniques from industry and academia. We often design features using SQL, python, and spark, and train models using a variety of python-centric modeling libraries. Data scientists often lead the deployment of these models in batch and event-based environments, and may additionally partner with engineering teams for deployments that interface with other real-time systems. The team is focused on giving our millions of customers comfort to know that their account is protected from attempts to take it over.
Role Description-
In this role, you will:
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, Kubernetes, and more to build sequence models to detect fraud risk using deep learning techniques like transformers, LSTMs, and embeddings of tabular data
Connect your deep technical modeling expertise to the pressing business goals of our fraud prevention strategy partners to create exciting solutions to demanding challenges
Provide the engine to a research agenda with business opportunities at its heart
Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry leading fraud defenses.
Pilot machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
The Ideal Candidate is:
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
At least 2 years’ experience in open source programming languages for large scale data analysis
At least 2 years’ experience with machine learning
At least 2 years’ experience with relational databases
Preferred Qualifications:
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
At least 1 year of experience working with AWS
At least 4 years’ experience in Python for large scale data analysis
At least 4 years’ experience with machine learning and specifically deep learning sequence modeling architectures
At least 4 years’ experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $193,400 - $20,700 for Mgr, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).