Artificial intelligence specialist job description
Updated March 14, 2024
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Example artificial intelligence specialist requirements on a job description
Artificial intelligence specialist requirements can be divided into technical requirements and required soft skills. The lists below show the most common requirements included in artificial intelligence specialist job postings.
Sample artificial intelligence specialist requirements
- Associate or Bachelor’s degree in Artificial Intelligence or related field.
- At least 3-5 years of experience in designing and developing AI software.
- Strong knowledge of AI algorithms, techniques and technologies.
- Proficiency in coding languages such as Python, C++, Java, etc.
Sample required artificial intelligence specialist soft skills
- Excellent problem solving and analytical skills.
- Strong communication, collaboration and interpersonal skills.
- Ability to work independently and in a team environment.
- Highly organized and detail oriented.
- Creative and innovative mindset.
Artificial intelligence specialist job description example 1
General Dynamics artificial intelligence specialist job description
**Type of Requisition:** Regular
**Clearance Level Must Be Able to Obtain:** Top Secret/SCI
**Public Trust/Other Required:** None
**Job Family:** Cyber Engineering
We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that's important.
GDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being trusted to deliver your best every day.
We think. We act. We deliver. There is no challenge we can't turn into opportunity. And our work depends on an Artificial Intelligence/Machine Learning SME joining our team to support the USSPACECOM J2 program at Peterson SFB, Colorado.
The Artificial Intelligence/Machine Learning (AI/ML) SME will provide support to the Program Manager and the Government USSPACECOM J2 staff. Responsible for advising, developing, and managing data platform capabilities in support of USSPACECOM J2 intelligence operations.
**Required Qualifications**
+ Bachelor's degree
+ Five plus (5+) years experience with data and analysis through use of predictive tools and automation
+ Five plus (5+) years experience of large scale data repository's and cloud infrastructure/services
+ Experience in cyber security principles, concepts, and methods ensuring confidentiality and integrity of information
+ Certification in accordance with DoD 8570.01-M (may include one of the following:Sec+ (or higher), SSCP, or GSEC
+ Active Top Secret (TS) clearance with access to Sensitive Compartmented Information (SCI)
**Desired Qualifications**
+ Master's degree and 5 -10 years experience
COVID-19 Vaccination: GDIT does not have a vaccination mandate applicable to all employees. To protect the health and safety of its employees and to comply with customer requirements, however, GDIT may require employees in certain positions to be fully vaccinated against COVID-19. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.
The likely salary range for this position is $89,648 - $149,698, this is not, however, a guarantee of compensation or salary; rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
**Clearance Level Must Be Able to Obtain:** Top Secret/SCI
**Public Trust/Other Required:** None
**Job Family:** Cyber Engineering
We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that's important.
GDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being trusted to deliver your best every day.
We think. We act. We deliver. There is no challenge we can't turn into opportunity. And our work depends on an Artificial Intelligence/Machine Learning SME joining our team to support the USSPACECOM J2 program at Peterson SFB, Colorado.
The Artificial Intelligence/Machine Learning (AI/ML) SME will provide support to the Program Manager and the Government USSPACECOM J2 staff. Responsible for advising, developing, and managing data platform capabilities in support of USSPACECOM J2 intelligence operations.
**Required Qualifications**
+ Bachelor's degree
+ Five plus (5+) years experience with data and analysis through use of predictive tools and automation
+ Five plus (5+) years experience of large scale data repository's and cloud infrastructure/services
+ Experience in cyber security principles, concepts, and methods ensuring confidentiality and integrity of information
+ Certification in accordance with DoD 8570.01-M (may include one of the following:Sec+ (or higher), SSCP, or GSEC
+ Active Top Secret (TS) clearance with access to Sensitive Compartmented Information (SCI)
**Desired Qualifications**
+ Master's degree and 5 -10 years experience
COVID-19 Vaccination: GDIT does not have a vaccination mandate applicable to all employees. To protect the health and safety of its employees and to comply with customer requirements, however, GDIT may require employees in certain positions to be fully vaccinated against COVID-19. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.
The likely salary range for this position is $89,648 - $149,698, this is not, however, a guarantee of compensation or salary; rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
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Artificial intelligence specialist job description example 2
Argonne National Laboratory artificial intelligence specialist job description
We are seeking a Postdoctoral Appointee to work in the Data Science and Learning division (DSL) of the Computing, Environment, and Life Sciences directorate (CLS) of Argonne National Laboratory. This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to design the next generation of materials.
The primary projects this postdoc will contribute to are finding new routes for chemical storage of hydrogen and the design of copper-carbon composites for enhanced conductivity. Each project will involve close collaboration with a team of domain experts to leverage emerging computing techniques to solve pressing challenges in clean energy and manufacturing.
Primary responsibilities will be to design and implement new techniques for predicting properties of or suggesting new experiments for molecular and metallic materials. While experience in materials engineering is a benefit, ideal candidates will be expected to work together with domain experiments rather than possess all required expertise themselves. Beyond the listed projects, the candidate will be able to contribute to other large-team scientific projects in materials engineering and beyond at Argonne National Laboratory.
**Position Requirements**
Required qualifications and skills:
+ A completed or soon-to-be completed (typically within 0-3 years) PhD. in materials science, chemistry, physics, mathematics, computer science or related engineering disciplines.
+ Knowledge of deep learning techniques for image and graph data
+ Experience with applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems.
+ Interest in software development, with particular emphasis on the Python programming language and contributions to open-source scientific software
+ Good scientific productivity, as demonstrated by publications and conference presentations.
+ Effective oral and written communication skills.
+ Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork
Desirable skills:
+ Experience with analyzing large and/or complex data sets.
**Job Family**
Postdoctoral Family
**Job Profile**
Postdoctoral Appointee
**Worker Type**
Long-Term (Fixed Term)
**Time Type**
Full time
_As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law._
_Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._
_All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._
_Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination._
The primary projects this postdoc will contribute to are finding new routes for chemical storage of hydrogen and the design of copper-carbon composites for enhanced conductivity. Each project will involve close collaboration with a team of domain experts to leverage emerging computing techniques to solve pressing challenges in clean energy and manufacturing.
Primary responsibilities will be to design and implement new techniques for predicting properties of or suggesting new experiments for molecular and metallic materials. While experience in materials engineering is a benefit, ideal candidates will be expected to work together with domain experiments rather than possess all required expertise themselves. Beyond the listed projects, the candidate will be able to contribute to other large-team scientific projects in materials engineering and beyond at Argonne National Laboratory.
**Position Requirements**
Required qualifications and skills:
+ A completed or soon-to-be completed (typically within 0-3 years) PhD. in materials science, chemistry, physics, mathematics, computer science or related engineering disciplines.
+ Knowledge of deep learning techniques for image and graph data
+ Experience with applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems.
+ Interest in software development, with particular emphasis on the Python programming language and contributions to open-source scientific software
+ Good scientific productivity, as demonstrated by publications and conference presentations.
+ Effective oral and written communication skills.
+ Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork
Desirable skills:
+ Experience with analyzing large and/or complex data sets.
**Job Family**
Postdoctoral Family
**Job Profile**
Postdoctoral Appointee
**Worker Type**
Long-Term (Fixed Term)
**Time Type**
Full time
_As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law._
_Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._
_All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._
_Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination._
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Updated March 14, 2024
Updated March 14, 2024