Mlops Engineer Jobs in USA with Visa Sponsorship
MLOps Engineer roles are among the most actively sponsored positions in the U.S. tech industry, with employers regularly filing H-1B visa petitions for qualified candidates. Most openings require a degree in computer science, data science, or a related engineering field to meet specialty occupation standards. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Mroads is looking for an "MLOps Engineer (SageMaker)" for one of the direct clients in Plano, TX.
ROLE AND RESPONSIBILITIES
Required Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
- 10–15 years of software engineering experience with a strong focus on cloud infrastructure, platform engineering, or machine learning operations.
- 5+ years of hands-on experience with AWS cloud services.
- Deep expertise in Amazon SageMaker, including:
- SageMaker Studio Classic (required)
- SageMaker Pipelines
- Model Registry
- Endpoints
- Feature Store
- Domain and Project Administration
- 3+ years of experience building and operating production MLOps pipelines.
- Strong experience managing the complete ML lifecycle:
- Model training
- Experiment tracking
- Versioning
- Deployment
- Monitoring
- Rollback strategies
- Experience with MLflow or equivalent experiment tracking and model management platforms.
- Experience with workflow orchestration tools such as:
- SageMaker Pipelines
- Apache Airflow
- AWS Step Functions
- Strong understanding of cloud-native architectures, automation, and infrastructure management.
- Experience supporting production environments with high availability and operational excellence requirements.
INTRODUCTION
Mroads is looking for an "MLOps Engineer (SageMaker)" for one of the direct clients in Plano, TX.
ROLE AND RESPONSIBILITIES
Required Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
- 10–15 years of software engineering experience with a strong focus on cloud infrastructure, platform engineering, or machine learning operations.
- 5+ years of hands-on experience with AWS cloud services.
- Deep expertise in Amazon SageMaker, including:
- SageMaker Studio Classic (required)
- SageMaker Pipelines
- Model Registry
- Endpoints
- Feature Store
- Domain and Project Administration
- 3+ years of experience building and operating production MLOps pipelines.
- Strong experience managing the complete ML lifecycle:
- Model training
- Experiment tracking
- Versioning
- Deployment
- Monitoring
- Rollback strategies
- Experience with MLflow or equivalent experiment tracking and model management platforms.
- Experience with workflow orchestration tools such as:
- SageMaker Pipelines
- Apache Airflow
- AWS Step Functions
- Strong understanding of cloud-native architectures, automation, and infrastructure management.
- Experience supporting production environments with high availability and operational excellence requirements.
See all 197+ Mlops Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Mlops Engineer
Target companies with a proven H-1B filing history
Large tech employers and AI-focused startups file H-1B petitions for MLOps roles at high rates. Focusing your search on companies with consistent sponsorship records significantly improves your odds of receiving a petition before the lottery.
Make sure your degree field aligns with the role
USCIS treats MLOps as a specialty occupation requiring a degree in computer science, data engineering, or a related technical field. A business or unrelated degree, even with strong experience, can complicate your petition and invite a Request for Evidence.
Get proficient with the full MLOps toolchain
Employers filing H-1B petitions for MLOps Engineers typically list specific tools like Kubernetes, MLflow, Kubeflow, and CI/CD pipelines in LCAs. Demonstrating hands-on experience with these tools strengthens both your candidacy and the specialty occupation argument.
Understand cap-exempt employer opportunities
Universities, nonprofit research institutions, and affiliated organizations are exempt from the H-1B lottery cap. MLOps roles at these employers can be filed any time of year, giving candidates who miss the lottery a practical alternative path to status.
Consider the O-1A visa if you have recognized research contributions
MLOps Engineers with published papers, conference presentations, open-source project recognition, or roles at cutting-edge AI labs may qualify for the O-1A. It has no annual cap and no lottery, making it a strong fallback for high-achieving candidates.
Browse Migrate Mate for roles filtered by sponsorship availability
Not every job listing makes sponsorship eligibility clear upfront. Migrate Mate surfaces MLOps Engineer openings from employers actively willing to sponsor, saving you from applying to roles where sponsorship was never on the table.
Frequently Asked Questions
Does MLOps Engineer qualify as a specialty occupation for H-1B purposes?
Yes, MLOps Engineer consistently qualifies as a specialty occupation under USCIS standards. The role requires theoretical and practical application of computer science, machine learning systems design, and software engineering, all of which demand at minimum a bachelor's degree in a directly related field. Approval rates for software and ML engineering roles remain among the highest across H-1B visa petitions.
What degree do I need for an employer to sponsor my H-1B as an MLOps Engineer?
A bachelor's degree or higher in computer science, data science, machine learning, electrical engineering, or a closely related technical discipline is the standard requirement. Degrees in unrelated fields, even combined with relevant experience, can weaken the specialty occupation argument. If your degree is in a tangential area, an attorney can assess whether your coursework and experience still support the petition.
How competitive is H-1B sponsorship for MLOps Engineers compared to other tech roles?
MLOps is a high-demand specialization, and employers filing for these roles tend to be well-resourced companies familiar with the sponsorship process. That said, all cap-subject H-1B petitions still go through the same lottery. In recent fiscal years, selection rates have hovered around 20 to 30 percent, so candidates benefit from targeting multiple employers and exploring cap-exempt alternatives simultaneously.
Can I get sponsored as an MLOps Engineer if I'm currently on OPT or STEM OPT?
Yes, and this is one of the most common paths. If you're on F-1 OPT, your employer files an H-1B petition in March for an October 1 start. STEM OPT extensions give computer science and engineering graduates up to three additional years of work authorization, providing a meaningful runway to secure sponsorship even if you miss the first lottery cycle.
Where can I find MLOps Engineer jobs where employers are open to sponsorship?
Migrate Mate is built specifically for international candidates seeking sponsored roles. You can browse MLOps Engineer openings filtered by employers willing to sponsor work visas, which removes the friction of discovering mid-process that a company won't file a petition. This is especially useful for candidates who need to move quickly due to OPT or grace period deadlines.
What is the prevailing wage requirement for sponsored Mlops Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.