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Weekend Artificial Intelligence Machine Learning Jobs in Virginia

AI Solutions Architect

Mclean, VA · On-site

$63.75 - $84/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

AI Solutions Architect

Richmond, VA

$62.25 - $82.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

D. and 15+ years of experience in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Applied Mathematics, or related field (or equivalent experience).Additional years ...

... artificial intelligence, machine learning, natural language processing, data mining, statistics, and algorithms Ability to develop persistent monitoring applications for statistical or machine ...

ORA_ON_SITE Description  SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer to join our team of professionals providing technical and program services to the U.S. Government ...

... machine learning models for national security customers. Responsibilities : • Define goals and expectations for algorithm T&E performance • Research artificial intelligence data splitting ...

... machine learning models for national security customers. Responsibilities : • Define goals and expectations for algorithm T&E performance • Research artificial intelligence data splitting ...

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... If you are passionate about artificial intelligence, data-driven solutions, and continuously ...

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Weekend Artificial Intelligence Machine Learning information

What are the key skills and qualifications needed to thrive as a Weekend Artificial Intelligence Machine Learning Specialist, and why are they important?

To thrive as a Weekend Artificial Intelligence Machine Learning Specialist, you need a solid background in mathematics, statistics, and programming, typically with a degree in computer science or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of data processing tools and cloud platforms, are often required along with relevant certifications. Strong problem-solving abilities, time management, and effective communication skills help professionals excel during limited weekend hours. These competencies ensure that complex AI/ML tasks are efficiently addressed and projects move forward even within a condensed work schedule.

What are some common challenges faced by professionals working in a weekend Artificial Intelligence Machine Learning role?

Professionals in weekend AI/ML roles often face the challenge of balancing project deadlines with limited working hours, which requires strong time management and prioritization skills. Collaboration can also be more complex, as team members may work on different schedules, making clear communication and documentation especially important. Additionally, staying updated with rapidly evolving AI/ML tools and frameworks can be demanding, so dedicating time for continuous learning is essential. Despite these challenges, weekend roles can offer flexibility and the opportunity to work on cutting-edge projects while accommodating other commitments.

What are Weekend Artificial Intelligence Machine Learning jobs?

Weekend Artificial Intelligence Machine Learning jobs are positions that allow professionals to work specifically on weekends, focusing on tasks related to AI and machine learning. These roles can involve data analysis, model development, algorithm optimization, or supporting AI projects, often in a part-time or contract capacity. They are ideal for individuals seeking flexible work schedules or those wanting to gain experience in AI/ML outside of traditional weekday hours. Such positions are available in various industries, including tech, healthcare, finance, and more.

What is the difference between Weekend Artificial Intelligence Machine Learning vs Data Scientist?

AspectWeekend Artificial Intelligence Machine LearningData Scientist
Required CredentialsRelevant certifications in AI/ML, programming skillsDegree in Data Science, Statistics, or related fields
Work EnvironmentPart-time, project-based, flexible hoursFull-time, office or remote, collaborative teams
Employer & Industry UsageTech companies, startups, research labsBusiness, finance, healthcare, tech sectors
Common Search & ComparisonOften compared for AI/ML roles with flexible schedulesBroader data analysis roles, often full-time

Weekend Artificial Intelligence Machine Learning roles focus on part-time, flexible projects requiring AI/ML skills and certifications, often in tech environments. Data Scientists typically work full-time in data analysis, requiring advanced degrees and broader industry applications. Both roles involve data handling but differ in work hours, environment, and career scope.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Virginia? The most popular types of Artificial Intelligence Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Weekend Artificial Intelligence Machine Learning jobs? Cities in Virginia with the most Weekend Artificial Intelligence Machine Learning job openings:
Artificial Intelligence / Machine Learning Research and Development Engineer

Artificial Intelligence / Machine Learning Research and Development Engineer

The Pennsylvania State University

Reston, VA • On-site, Remote

$76.70K - $129.50K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

APPLICATION INSTRUCTIONS:
  • 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.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

POSITION SPECIFICS

We are seeking highly motivated Research and Development Engineers to join our Computational Intelligence and Visualization Application Department of the Applied Research Laboratory (ARL) at Penn State. You will assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor's complex problems given large sets of multivariate data.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

You will:

  • Designing, developing, and researching machine learning systems, models, and schemes
  • Studying, transforming, and applying state-of-the-art machine learning prototypes to sponsor specific domains
  • Searching and selecting appropriate data sets before performing data collection and data modeling
  • Visualizing data for deeper insights
  • Generating and presenting technical research reports and briefings
  • Performing statistical analysis in support of pattern of life and anomaly detection
  • Performing data fusion and correlation
  • Building high quality software prototypes integrated with our various research and pre-production software environments
  • Collaborate with other ARL staff and sponsors

Additional responsibilities of higher levels include:

  • Supervise the work of lower level staff and undergraduate student
  • Perform tasks of a larger scope and lead specific tasks within the project scope

Required skills/knowledge includes:

  • Data science/algorithm development
  • Data science / Machine Learning languages to include Python
  • Research, development and implementation of machine learning models

Preferred skills/knowledge includes:

  • A Master's degree
  • Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based
  • Working with geo-spatial data
  • Statistics, multivariable calculus, and linear algebra
  • Exploratory data analysis and visualization
  • Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI
  • Software Development tools to include Git, Docker, Kubernetes, SSH
  • Active TS/SCI Clearance

Your work location will be on-site State College PA or Reston, VA in a classified environment

MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS

If filled as Research and Development Engineer - Intermediate Professional, this position requires:
Bachelor's Degree - Engineering or Science
2+ years of relevant experience
Required Certifications:
None

If filled as Research and Development Engineer - Professional, this position requires:
Bachelor's Degree - Engineering or Science
No prior relevant work experience required
Required Certifications:
None

ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).

FOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.All positions at ARL require candidates topossess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.

SALARY & BENEFITS

The salary range for this position, including all possible grades, is $76,700.00 - $129,500.00.**THE PROPOSED SALARY RANGE MAY BE IMPACTED BY GEOGRAPHIC DIFFERENTIAL**

Salary Structure - Information on Penn State's salary structure

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.

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.

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 814-865-1473.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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