Mlops Engineer Green Card Jobs
MLOps Engineer roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to demonstrate no qualified U.S. workers are available. Most positions require a bachelor's or master's degree in computer science or a related field, making EB-2 the common pathway for advanced-degree professionals in this specialty.
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Get Access To All JobsINTRODUCTION
As an experienced MLOps engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support Agentic AI platform development. As a MLOps engineer on our Air Power team, you’ll train, test, deploy, and maintain models that learn from data.
In this role, you’ll lead the direction of critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with AI software, DevSecOps, and data engineers to deliver world-class solutions for a working Agentic AI Platform. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define ML strategy for Air Force Agentic Systems.
Join us. The world can’t wait.
YOU HAVE:
- Experience deploying production-grade ML models
- Experience with data ingestion and model output
- Knowledge of MLOps Frameworks and container systems, such as Kubernetes or Docker
- HS diploma or GED
COMPENSATION
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
IDENTITY STATEMENT
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
CANDIDATE AI USAGE POLICY
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
WORK MODEL
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
- Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
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.
INTRODUCTION
As an experienced MLOps engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support Agentic AI platform development. As a MLOps engineer on our Air Power team, you’ll train, test, deploy, and maintain models that learn from data.
In this role, you’ll lead the direction of critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with AI software, DevSecOps, and data engineers to deliver world-class solutions for a working Agentic AI Platform. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define ML strategy for Air Force Agentic Systems.
Join us. The world can’t wait.
YOU HAVE:
- Experience deploying production-grade ML models
- Experience with data ingestion and model output
- Knowledge of MLOps Frameworks and container systems, such as Kubernetes or Docker
- HS diploma or GED
COMPENSATION
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
IDENTITY STATEMENT
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
CANDIDATE AI USAGE POLICY
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
WORK MODEL
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
- Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
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.
See all 143+ Mlops Engineer jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Mlops Engineer
Document your ML infrastructure work precisely
PERM requires a detailed job description tied to a specific SOC code. Gather records of your MLOps work across model deployment pipelines, CI/CD automation, and cloud orchestration so your employer's attorney can define the role narrowly enough to defend prevailing-wage levels.
Check prevailing wages before accepting offers
Use the OFLC Wage Search to look up the prevailing wage for MLOps Engineer roles by location before you sign an offer. If the offered salary falls below the DOL wage level for your metro area, the PERM filing is at risk from the start.
Target employers with active PERM filing history
Search for companies that have filed PERM applications for MLOps or machine learning engineering roles in the past two years. Employers already familiar with the process move faster and are less likely to abandon sponsorship mid-filing due to cost or complexity concerns.
Use Migrate Mate to find verified green card sponsors
Search Migrate Mate to filter MLOps Engineer roles by employers with documented EB-2 and EB-3 sponsorship history. You'll see which companies have completed PERM filings for similar titles, so you can prioritize applications where green card sponsorship is already part of the hiring process.
Negotiate sponsorship terms before your start date
Ask your future employer to confirm in writing whether PERM filing is included in your offer, who covers legal fees, and the expected start timeline. Many MLOps candidates lose months assuming sponsorship is automatic when it requires a separate internal approval.
Understand EB-2 NIW as a self-petition fallback
If your employer won't sponsor PERM, National Interest Waiver allows EB-2-eligible candidates to self-petition without employer sponsorship. MLOps professionals working on critical AI infrastructure, healthcare models, or national security systems can build a strong NIW case through USCIS.
Mlops Engineer jobs are hiring across the US. Find yours.
Find Mlops Engineer JobsMlops Engineer Green Card Sponsorship: Frequently Asked Questions
Does an MLOps Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Most MLOps Engineer positions qualify for either EB-2 or EB-3 depending on the degree requirement the employer sets in the job description. Roles requiring a master's degree or equivalent typically fall under EB-2. Positions requiring a bachelor's degree in computer science, data engineering, or a related field generally qualify under EB-3. The PERM job description, not your personal credentials, determines the category.
How does green card sponsorship differ from H-1B for MLOps Engineers?
H-1B is a temporary work visa with a three-year initial period and annual lottery exposure. EB-2 and EB-3 green card sponsorship through PERM leads to permanent residency with no annual cap at the petition level for most nationalities. The PERM process takes 12 to 24 months before the I-140 stage, but once approved you're on a path that H-1B renewals can't guarantee.
Where can I find MLOps Engineer jobs that include green card sponsorship?
Migrate Mate lets you search specifically for MLOps Engineer roles at employers with verified PERM and EB-2 or EB-3 filing history. Unlike general job boards, Migrate Mate filters by sponsorship type so you're applying to companies that have already navigated the DOL and USCIS process for similar roles rather than hoping sponsorship comes up during negotiations.
What SOC code applies to MLOps Engineers for PERM filings?
MLOps Engineer roles are most commonly filed under SOC 15-1244 (Computer Network Architects) or 15-1252 (Software Developers) depending on the primary responsibilities. Roles centered on model deployment infrastructure and platform engineering may also use 15-1299 (Computer Occupations, All Other). The SOC code your employer selects determines the prevailing wage level DOL will require, so the job description must match the code accurately.
Can my employer start the PERM process while I'm on H-1B?
Yes, and starting PERM while you're on H-1B is the standard approach for most MLOps Engineers. USCIS allows H-1B holders to pursue concurrent green card sponsorship without affecting their nonimmigrant status. Filing PERM early also protects your priority date, which becomes important if you're from a high-backlog country like India or China where EB-2 and EB-3 wait times extend significantly.
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