Senior Mlops Engineer Green Card Jobs
Senior MLOps Engineer roles qualify for EB-2 or EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no qualified U.S. worker is available. Roles requiring ML infrastructure design, model deployment pipelines, and production monitoring typically meet the specialty occupation standard that supports both categories.
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Get Access To All JobsINTRODUCTION
Kforce has a client in need of a Senior MLOps Engineer in Cincinnati, OH.
Responsibilities
- Design, build, and deploy ML product features in collaboration with Product and ML Research teams
- Own the technical delivery, reliability, and performance of production ML products
- Contribute to shared ML platform tooling and MLOps best practices
- Maintain and improve CI/CD pipelines, testing, monitoring, and logging
- Perform code reviews to ensure quality, standards, and knowledge sharing
- Drive continuous improvement by reducing technical debt and scaling systems
- Lead pre-release testing and coordinate smooth production releases
- Provide technical leadership, mentorship, and cross-team collaboration while proactively removing blockers and driving outcomes
REQUIREMENTS
- 5+ years of experience as an ML/MLOps Engineer with production systems
- Hands-on ML model deployment and production API integration
- Strong Python skills and ML/data libraries
- Experience with containers, orchestration, and AWS
- CI/CD pipeline development and operation (Jenkins preferred)
- Low-latency, real-time data stores (e.g., DynamoDB)
- Monitoring, troubleshooting, and optimizing ML systems
- Release testing and production readiness
- Ability to work independently in ambiguous environments
- Strong communication and cross-functional collaboration
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
INTRODUCTION
Kforce has a client in need of a Senior MLOps Engineer in Cincinnati, OH.
Responsibilities
- Design, build, and deploy ML product features in collaboration with Product and ML Research teams
- Own the technical delivery, reliability, and performance of production ML products
- Contribute to shared ML platform tooling and MLOps best practices
- Maintain and improve CI/CD pipelines, testing, monitoring, and logging
- Perform code reviews to ensure quality, standards, and knowledge sharing
- Drive continuous improvement by reducing technical debt and scaling systems
- Lead pre-release testing and coordinate smooth production releases
- Provide technical leadership, mentorship, and cross-team collaboration while proactively removing blockers and driving outcomes
REQUIREMENTS
- 5+ years of experience as an ML/MLOps Engineer with production systems
- Hands-on ML model deployment and production API integration
- Strong Python skills and ML/data libraries
- Experience with containers, orchestration, and AWS
- CI/CD pipeline development and operation (Jenkins preferred)
- Low-latency, real-time data stores (e.g., DynamoDB)
- Monitoring, troubleshooting, and optimizing ML systems
- Release testing and production readiness
- Ability to work independently in ambiguous environments
- Strong communication and cross-functional collaboration
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Senior Mlops Engineer
Align your credentials to EB-2 requirements
A master's degree in computer science, machine learning, or a related field positions you for EB-2 eligibility. If you hold only a bachelor's degree, document five or more years of progressive MLOps experience to satisfy the advanced-degree equivalent standard under PERM.
Target employers with active PERM filing history
Search the DOL's OFLC Wage Search database to identify companies that have previously filed PERM applications for MLOps or machine learning engineering roles. Repeated filings signal an established internal sponsorship process rather than a one-off case.
Verify your role's SOC code before the offer
MLOps Engineer positions are commonly classified under SOC 15-2051 or 15-1244 depending on the employer's framing. Confirm which code your offer letter will use, since the SOC code determines the prevailing wage tier DOL applies during PERM labor certification.
Use Migrate Mate to find sponsoring employers fast
Search for Senior MLOps Engineer roles with confirmed green card sponsorship history using Migrate Mate. The platform surfaces employers who have filed PERM or I-140 petitions for comparable ML infrastructure roles, saving you from cold-outreach to companies with no sponsorship track record.
Negotiate PERM timeline into your employment offer
Ask your employer to initiate the PERM prevailing wage determination request with DOL within your first three months. PERM processing at DOL currently runs six to eighteen months before the I-140 stage, so starting early directly affects how quickly your priority date is established.
Prepare your O*NET occupation documentation early
USCIS and your employer's immigration counsel will reference the O*NET profile for your role to support the specialty occupation determination. Gather job descriptions, project portfolios, and academic transcripts that map your duties to the technical requirements listed there before the audit process begins.
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Find Senior Mlops Engineer JobsSenior Mlops Engineer Green Card Sponsorship: Frequently Asked Questions
Does a Senior MLOps Engineer role qualify for EB-2 or EB-3 sponsorship?
Most Senior MLOps Engineer positions qualify for EB-2 if the role requires a master's degree or equivalent, or EB-3 if it requires at least a bachelor's degree in a specific technical field. Your employer's immigration counsel determines the category based on the actual job duties, the minimum education requirement in the job description, and the prevailing wage tier assigned by DOL during PERM.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B is a temporary status capped at six years without an approved I-140, subject to an annual lottery, and tied to a specific employer. PERM-based green card sponsorship is permanent, has no annual lottery, and once your I-140 is approved your priority date is locked even if you change employers under AC21 portability. For MLOps engineers from most countries outside India and China, EB-3 wait times are short or negligible.
What documentation should I prepare for the PERM specialty occupation determination?
You'll need official transcripts showing a bachelor's degree or higher in computer science, software engineering, or a closely related field, along with a detailed resume that maps your MLOps experience to the job duties in the offer letter. If your degree is from outside the U.S., obtain a credential evaluation from a NACES-member organization before your employer files the PERM application with DOL.
Where can I find Senior MLOps Engineer jobs where the employer already sponsors green cards?
Migrate Mate aggregates Senior MLOps Engineer roles from employers with verified PERM and I-140 filing history, so you can filter for companies that have already navigated the green card process for comparable positions. This avoids the common scenario of negotiating sponsorship from scratch with an employer who has no internal process for it.
Can I switch employers after my PERM is approved but before I get my green card?
Yes, under AC21 portability you can change to a same or similar occupational role after your I-485 adjustment of status application has been pending for 180 days or more. MLOps and machine learning engineering roles generally fall within the same SOC code family, which supports portability claims. Notify USCIS of the job change and keep documentation showing the new role is substantially similar to the one on your approved I-140.
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