Skip to main content
Karsun Solutions, LLC logo

ml engineer - creator studio

Karsun Solutions, LLC

Philadelphia, PA · HybridContract$160–180K/yrSeen 2w agoSeen in employer's feed 3 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

You apply on the employer's site, with no Olive account needed.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
$160–180K/yr
Location
Philadelphia, PAHybrid
Schedule
Contract
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Public Trust clearance, required

Job overview

Karsun Solutions is supporting a Department of Veterans Affairs modernization program that delivers enterprise digital services for Veteran healthcare and benefits. The ML Engineer will build and integrate machine learning capabilities across enterprise platforms, monitor deployed models, protect sensitive data, and guide stakeholders. The opportunity is contingent; candidates local to the DMV area are preferred and must be willing to work onsite two days per week.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning Models, requiredMachine Learning Pipelines, requiredMLOps, nice to haveModel Lifecycle Management, nice to haveAWS SageMaker, nice to haveAzure Machine Learning, nice to havePython, nice to havePyTorch, nice to haveTensorFlow, nice to haveScikit-Learn, nice to haveData Governance, nice to haveResponsible AI, nice to have

Qualifications

Bachelor's in Related Field or 10 Years' Experience, required7 Years' Relevant Experience, requiredVA Public Trust Investigation, requiredAvailable on Contract Award, requiredLetter of Commitment, requiredSecurity Clearance Eligibility, requiredU.S. Work Authorization, required

Full job description

Why Karsun? Join Karsun Solutions to grow your career with the company transforming possible for the US Government. At Karsun, collaboration drives our community. We're committed to building an environment where team members from diverse backgrounds can innovate, learn and grow with us. Here at Karsun, the only limit to your potential is the limit of your curiosity. Join Team Karsun, and Find Your Next! Summary Karsun Solutions is actively looking to support a modernization of digital services and accelerate delivery of healthcare and benefits programs for Veterans at the Department of Veterans Affairs. Candidates will support a program focused on expanding the Digital Transformation Center's ability to deliver enterprise applications using modern development frameworks, low code and no code platforms, and cloud based SaaS and PaaS environments. The objective is to deliver digital capabilities that support both Veteran healthcare services and benefits programs. The program supports multiple concurrent low code/no code products serving a wide-range of users, while maintaining reliability, security, and delivery speed across a complex enterprise platform environment. This position is a contingent opportunity. Prefer candidates local to the DMV Area and willing to be onsite two days per week. What You'll Be Doing: 1. Design, develop, deploy, and maintain scalable machine learning models and pipelines that support enterprise mission objectives and operational baselines. 2. Apply advanced ML frameworks and lifecycle management practices to improve predictive capability, automation, and analytical insight, aligned with business requirements and data governance. 3. Lead model integration with the DTC enterprise platforms (Salesforce/MuleSoft, Microsoft Power Platform/Dynamics, Pega, Box, Appian) through APIs and reusable components. 4. Lead model performance monitoring, including drift detection, retraining, and validation, so solutions stay reliable and compliant after deployment. 5. Protect PII and PHI in training data and model outputs under HIPAA and VA privacy requirements, and support security and ATO documentation for ML components. 6. Educate stakeholders and provide technical guidance so solutions are delivered on schedule. Required Qualifications: 1. Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Operations Research, or a related field, plus a minimum of 7 years of relevant experience. 10 years of relevant experience may substitute for the degree. 2. Demonstrated experience designing, deploying, and maintaining machine learning models and pipelines in production enterprise environments. 3. Ability to obtain and maintain a VA Public Trust background investigation. 4. Available on contract award and willing to sign a letter of commitment. Preferred Qualifications: 1. Experience with MLOps tooling and model lifecycle management in a commercial cloud environment, such as AWS SageMaker or Azure Machine Learning. 2. Experience with ML in healthcare, benefits, or other regulated environments, including FedRAMP or ATO processes. 3. Proficiency in Python and common ML frameworks, such as PyTorch, TensorFlow, or scikit-learn. 4. Experience with data governance and responsible AI practices. Things to Know: Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Salary Range The proposed salary range for this role is $160,000 to $180,000 USD . The salary range provided is a good faith estimate representative of all experience levels. Karsun considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a ca didate's work experience, location, education/training, and key skills. Third Party Resumes Karsun does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Karsun and Karsun will not be obligated to pay a placement fee. Clearance Information This position requires the eligibility to obtain a security clearance. The Defense Industrial Security Clearance Office (DISCO), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website:https://www.state.gov/m/ds/clearances/c10978.htm Location To be considered for this role, you must reside in one of the following states: CA, CO, DC, FL, GA, IL, MD, NJ, NY, NC, OH, OK, PA, SC, TX, VA. Work Authorization Applicants must be authorized to work in the U.S. Statement on AI and Hiring Process At Karsun, we are committed to a fair and equitable hiring process. We do not use artificial intelligence to make decisions on candidates, scan resumes, or source potential hires. Applicants are reviewed by our talent acquisition team and hiring managers to ensure a thorough evaluation based on skills, experience, and alignment with our company values. Our hiring decisions are made with human judgement, ensuring fairness and transparency throughout the process.

How this job compares

Set against the 6,240 open Machine Learning Engineer jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This posting$160–180K/yr
  • Pennsylvania median$122–233K/yr100 salary ranges
  • US median$145–245K/yr5,195 salary ranges

This range's midpoint, $170K, is 4% below the Pennsylvania median midpoint ($178K) — in the middle half of Machine Learning Engineer salary ranges in Pennsylvania.

Openings
Olive Jobs lists 126 open Machine Learning Engineer jobs in Pennsylvania and 6,240 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Pennsylvania
Experience
This posting asks for at least 7 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (5,158 postings).
Education
2,118 of the 6,240 open Machine Learning Engineer jobs (34%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Prepare for this role

You've read the whole posting — now see how you match it.