7,438 AI Technologies jobs in the United States
Part Time Trainer-Programming (Python, AWS & AI Technologies)
Posted 8 days ago
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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
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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
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Data Science
Posted 5 days ago
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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 8 days ago
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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 14 days ago
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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 1 day ago
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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 15 days ago
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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.
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Data Science Engineer
Posted today
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- CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
- CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
- If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.
We are seeking highly skilled and motivated Data Science Engineers to join our DevSecOps Department/Cyber, Modeling and Simulation Division at the Applied Research Laboratory (ARL) at Penn State University. ARL/Penn State's purpose is to develop innovative solutions to challenging national problems in support of the Navy, DoD, and Intel communities engineering and technology needs.
Your working location will be on-site in San Diego, CA or Oahu, Hawaii
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
- Develop and implement data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
- Apply data mining, data modeling, statistics, graph algorithms and machine learning to extract and analyze information from large structured and unstructured datasets to support analytics objectives
- Visualize, interpret, and report data findings in dynamic data reports
- Employ a variety of data manipulation and visualization tools to best convey information/results to customers
- Support the design, development, testing and implementation of web based collaboration tools & platforms for data reporting
- Plan and conducts software integration or testing, including analyzing and implementing test plans and scripts, in support of analytics objectives
- Conduct exploratory data analysis for testing hypothesis
Required skills/experience areas include:
- Demonstrates proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL.
- Familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar.
- Proficient in Grafana as an open-source analytics and interactive visualization web application for monitoring application performance
- Comfortable working with data in a variety of formats including excel, CSV, JSON, XML
- Utilization of Microsoft's Power BI, Tableau, and other toolsets to visualize data and share insights with senior decision makers
- Active Top Secret Clearance with SCI eligibility
ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.
You will be subject to a government security investigation, and you must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.
FOR FURTHER INFORMATION on ARL, visit our web site at
**The proposed salary range may be impacted by geographic differential.**
The salary range for this position, including all possible grades is:
$109,300.00 - $191,000.00
Salary Structure - additional information on Penn State's job and salary structure.
CAMPUS SECURITY CRIME STATISTICS:
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
Employment with the University will require successful completion of background check(s) in accordance with University policies.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact .
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Analyst, Data Science
Posted today
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The creative problem-solvers in Liberty Mutual's Insights & Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you'll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working.
The Insights & Solutions team provides critical analysis through five functional groups within US Retail Markets:
- Distribution, Marketing & Experience Insights & Solutions
- Data Office
- Claims & Service, Insights & Solutions
- Knowledge & Development Solutions
- Data Science
The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured datadata that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team's success now and into the future.
The Small Commercial (SC) Product Design and Modeling team within US Retail Markets Data Science is hiring an individual contributor, Data Science Analyst, to join the General Liability (GL) team. This role gains experience in collaborating with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making. It utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.
Focus at this level is on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in storytelling with data.
**This role may have in-office requirements depending on candidate location**
At Liberty, you'll thrive in a hybrid setting that fosters in-person collaboration, innovation and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects.
Responsibilities:
- Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
- Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application.
- Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
- Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
- Assists in customizing analytic solutions to specific client needs.
- Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
- Engages with the Data Science community.
- Participates in cross functional working groups.
- Solid knowledge of predictive analytics techniques and statistical diagnostics of models.
- Advance knowledge of predictive toolset; expert resource for tool development.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
- Has a value-driven perspective with regard to understanding of work context and impact.
- Competencies typically acquired through a Master's degree (scientific field of study) and 0-1 years of relevant experience or a Bachelor's degree (scientific field of study) and 3+ years of relevant experience.
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit:
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
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