Artificial Intelligence (AI) Consultant

American business solutions inc; Harrisburg (Dauphin County); Remote; USD 83,000 - 138,000; Full time

Job summary

American business solutions inc is seeking a talented AI/ML engineer for a contract role. You will design, develop, and deploy AI models, and collaborate with cross-functional teams to address AI-related challenges.

Ideal candidates hold a Bachelor's or Master's in CS/Engineering/Math, have proven AI/ML experience, and are proficient in Python, R, or Java. Experience with TensorFlow, PyTorch, scikit-learn, and Azure Synapse is a plus.

Qualifications

• Bachelor's or Master's degree in CS/Engineering/Math or related field.
• Proven AI/ML/data science experience.
• Experience with NLP and computer vision.
• Proficiency in Python, R, or Java.
• Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.
• Familiarity with Azure and Azure Synapse data pipelines.
• Strong problem-solving skills and ability to work independently and with others.
• Excellent written and verbal communication.

Responsibilities

• Design, develop, and deploy AI models and algorithms.
• Collaborate with cross-functional teams to address AI challenges.
• Analyze and interpret complex data to extract actionable insights.
• Manage, maintain, and troubleshoot AI applications and models.
• Continuously improve AI models through iteration and experimentation.
• Stay up to date with advancements in AI and ML.
• Document and present findings to stakeholders.

Skills

AI/ML experience

NLP

Computer vision

Python/R/Java

ML frameworks

Education

Bachelors/Masters in CS/Engineering/Math

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Engagement Type

Contract

Complete Description

Description of Duties:

• Design, develop, and deploy AI models and algorithms.
• Collaborate with cross-functional teams to identify and address AI-related challenges.
• Analyze and interpret complex data to extract actionable insights.
• Manage, maintain, and troubleshoot existing AI applications and models, including fixing bugs and resolving issues to ensure optimal performance and reliability.
• Continuously improve AI models through iteration and experimentation.
• Stay up to date with the latest advancements in AI and machine learning.
• Document and present findings and results to stakeholders.

Desired Skillset/Minimum Experience:

The candidate selected for this position must have the following skills and qualifications:

• Bachelor’s or Master’s degree in computer science, Engineering, Mathematics, or a related field.
• Proven experience in AI, machine learning, or data science.
• Experience with natural language processing (NLP) and computer vision.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cloud platforms (Azure) and Azure Synapse and data workflows (pipelines).
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Excellent communication skills, both written and verbal.

Engagement Requirements

• Candidate’s location is preferred to be within the Continental United States.
• The work location will be virtual/remote until further notice. When required to be onsite, the work location will be at either PA Turnpike’s Central Administration Building located at 700 South Eisenhower Boulevard in Middletown, PA, or PA Turnpike’s Turnpike Industrial Park location located at 2850 Turnpike Industrial Drive, Middletown, PA.
• In-person interviews or work sessions with stakeholders will be conducted at the PA Turnpike facilities in Middletown, PA.
• The resource shall attend an orientation session onsite at one of the PA Turnpike’s Middletown, PA offices. The resource shall be onsite for the full day of this orientation where they will pick up any assigned PA Turnpike Equipment, by the resource. Equipment will not be shipped and cannot be pick up by anyone other than the selected resource. Travel costs associated with picking up this equipment plus the orientation day will not be reimbursed.
• No additional compensation for any travel required, if the resource is based within a 3-hour commuting distance. The rate is inclusive of any travel costs.
• Travel expenses submitted for reimbursement must adhere to federal GSA guidelines governing hotel, mileage, and meals per diem rates, and must include appropriate expense documentation (receipts). GSA Guidelines are available at: https://www.gsa.gov/travel/plan-book/per-diem-rates?gsaredirect=portalcontent104877.
• In accordance with OST's travel expense guidelines, all travel expenses shall be submitted no later than 60 days of the travel occurrence. The individual resource and/or vendor will be responsible for any expenses submitted past the 60‑day timeframe.
• The vendor must arrange for workspace for its project team. The PA Turnpike will provide meeting space; however, it does not plan to house the project team on a daily basis unless this statement of work states otherwise.
• Remote connectivity: computer equipment and access to required administrative services and facilities will be provided to vendor resources as required. Computer equipment for use while engaged with the Turnpike may include a laptop, iPad or other tablet device, laptop bag, monitors, wireless keyboard, mouse, or other equipment as required to perform job functions. When an engagement ends, all equipment issued to the vendor resources must be returned to the PA Turnpike within 2 weeks of the resources being offboarded. All equipment shall be returned to the PA Turnpike in good working condition. The Prime Contractor will be invoiced for any unreturned equipment or equipment damaged beyond reasonable wear and tear.
• Vendors are responsible for providing complete and accurate information and correctly completed forms for on-boarding resources. The vendor should allow a minimum of five to seven business days to fully on-board new resources. Vendor resources must:
  • Complete the consultant onboarding spreadsheet provided by the PA Turnpike.
  • Sign the PA Turnpike’s “Acceptable Use of Commission Technology Resources” (Policy 8.01) and the Non-Revenue Card Application Use Agreement for door access.
  • Provide a contact phone number and a current professional photo.
  • Must provide a copy of the results of a Pennsylvania Access to Criminal History – Record Check Certification (ePATCH) of the selected candidate dated after the release date of the Statement of Work.
  • Provide a copy of the results of a National Criminal Check.
  • If vendor resources will manage or access PA Turnpike systems and/or data for the Commission, they must sign a non-disclosure agreement (NDA), which must also be approved and signable by their PA Turnpike supervisor.
• The PA Turnpike IT Department has established the following guidelines while working virtually and the vendor resource is expected to follow them:
  • Use cameras during meetings.
  • Maintain a professional appearance when in meetings and on camera.
  • Resources must be available to come to the PA Turnpike work location within 3 hours in case of an emergency.
  • The vendor-provided resource is expected to be on-site as needed for planned implementations or system issues (when required) with advance notice given when possible.
• The PA Turnpike has eleven (11) holidays (for salaried employees) when the CAB is closed. Those holidays are New Year’s Day, M.L. King Jr. Birthday, Presidents Day, Good Friday, Memorial Day, Juneteenth, Independence Day, Labor Day, Veterans Day, Thanksgiving Day, and Christmas Day.
• Resources must abide by all published IT Standards, including those published publicly at http://paturnpike.service-now.com/kb.
• Overtime requests always need to have prior approval of Project Principal with the rightful reasons for overtime.

Required/Desired Skills

Skill Required/Desired Amount of Experience

Proven experience in AI,machine learning,or data science.,Experience with natural language processing (NLP) and computer vision.,Proficiency in programming languages such as Python,R,or Java.,Experience with machine learning frameworks and libraries (e.g.,TensorFlow,PyTorch,scikit-learn).,Familiarity with cloud platforms (Azure) and Azure Synapse and data workflows (pipelines).,Bachelor’s or Master’s degree in computer science,Engineering,Mathematics,or a related field.