Green Card Mlops Engineer 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.
Find Green Card Mlops Engineer JobsOverview
Showing 5 of 11+ Mlops Engineer jobs
See all Mlops Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Mlops Engineer roles.
Get Access To All JobsWho Are We?
Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Compensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range
$126,500.00 - $208,700.00
Target Openings
1
What Is the Opportunity?
As a Data Engineer II on this team, you turn ML from a promising notebook into a reliable product. You work in Databricks every day, shaping real workloads: taking messy experiments and turning them into clean, repeatable jobs and workflows, and wiring MLflow so every run is traceable. You own the path that makes models visible and operable from day one by instrumenting pipelines with observability events and standing up the APIs and scripts that keep the model inventory and governance picture complete. You sit with data scientists and engineers in the same repo, pair on jobs that matter to the business, and turn the patterns you discover into lightweight libraries, templates, and Backstage views that other teams adopt because they save time. If you like shipping code that many teams depend on, making complex systems feel simple, and being the person who can tell anyone “what is running, where, and how it is doing,” this role gives you that kind of impact.
What Will You Do?
- Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
- Design complex data solutions.
- Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
- Incorporate core data management competencies including data governance, data security and data quality.
- Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment.
- Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.
- Test data movement, transformation code, and data components.
- Perform other duties as assigned.
What Will Our Ideal Candidate Have?
- Bachelor’s Degree in STEM related field or equivalent.
- Eight years of related experience.
- Build, deploy, and support ML pipelines in a modern MLOps environment, partnering closely with data scientists using classic ML techniques (GBMs, linear models) and GenAI-based solutions.
- Apply strong software engineering and DevOps practices (CI/CD, monitoring, reliability) to data and ML workflows, working comfortably across both data engineering and application engineering domains.
- Develop robust data solutions using Python, SQL, and Databricks; experience with EKS (or other Kubernetes-based platforms) for scalable data/ML workloads is a strong plus.
- Leverage experience in financial services or other regulated industries to quickly understand business context and deliver production-grade ML and data solutions with minimal hand-holding.
- Collaborate with teams adopting GenAI tools (e.g., Claude) and traditional ML, acting as a power user and enabler rather than a pure researcher, with a focus on stability, performance, and operational excellence.
- Highly proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and a full understanding of modern software engineering practices.
- The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs.
- Demonstrated track record of domain expertise including understanding technical concepts necessary and industry trends, and possess in-depth knowledge of immediate systems worked on and some knowledge of adjacent systems.
- Strong problem solver who ensures systems are built with longevity and creates innovate ways to resolve issues.
- Strong written and verbal communication skills with the ability to work collaborate well with team members and business partners.
- Ability to lead team members and help create a safe environment for others to learn and grow as engineers and a proven track record of self-motivation in identifying opportunities and tracking team efforts.
What is a Must Have?
- Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
- 4 additional years of data engineering experience.
What Is in It for You?
- Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
- Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
- Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
- Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
- Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
Employment Practices
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.
Who Are We?
Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Compensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range
$126,500.00 - $208,700.00
Target Openings
1
What Is the Opportunity?
As a Data Engineer II on this team, you turn ML from a promising notebook into a reliable product. You work in Databricks every day, shaping real workloads: taking messy experiments and turning them into clean, repeatable jobs and workflows, and wiring MLflow so every run is traceable. You own the path that makes models visible and operable from day one by instrumenting pipelines with observability events and standing up the APIs and scripts that keep the model inventory and governance picture complete. You sit with data scientists and engineers in the same repo, pair on jobs that matter to the business, and turn the patterns you discover into lightweight libraries, templates, and Backstage views that other teams adopt because they save time. If you like shipping code that many teams depend on, making complex systems feel simple, and being the person who can tell anyone “what is running, where, and how it is doing,” this role gives you that kind of impact.
What Will You Do?
- Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
- Design complex data solutions.
- Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
- Incorporate core data management competencies including data governance, data security and data quality.
- Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment.
- Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.
- Test data movement, transformation code, and data components.
- Perform other duties as assigned.
What Will Our Ideal Candidate Have?
- Bachelor’s Degree in STEM related field or equivalent.
- Eight years of related experience.
- Build, deploy, and support ML pipelines in a modern MLOps environment, partnering closely with data scientists using classic ML techniques (GBMs, linear models) and GenAI-based solutions.
- Apply strong software engineering and DevOps practices (CI/CD, monitoring, reliability) to data and ML workflows, working comfortably across both data engineering and application engineering domains.
- Develop robust data solutions using Python, SQL, and Databricks; experience with EKS (or other Kubernetes-based platforms) for scalable data/ML workloads is a strong plus.
- Leverage experience in financial services or other regulated industries to quickly understand business context and deliver production-grade ML and data solutions with minimal hand-holding.
- Collaborate with teams adopting GenAI tools (e.g., Claude) and traditional ML, acting as a power user and enabler rather than a pure researcher, with a focus on stability, performance, and operational excellence.
- Highly proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and a full understanding of modern software engineering practices.
- The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs.
- Demonstrated track record of domain expertise including understanding technical concepts necessary and industry trends, and possess in-depth knowledge of immediate systems worked on and some knowledge of adjacent systems.
- Strong problem solver who ensures systems are built with longevity and creates innovate ways to resolve issues.
- Strong written and verbal communication skills with the ability to work collaborate well with team members and business partners.
- Ability to lead team members and help create a safe environment for others to learn and grow as engineers and a proven track record of self-motivation in identifying opportunities and tracking team efforts.
What is a Must Have?
- Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
- 4 additional years of data engineering experience.
What Is in It for You?
- Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
- Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
- Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
- Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
- Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
Employment Practices
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.
See all Green Card Mlops Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Mlops Engineer Jobs.
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.
Green Card Mlops Engineer: 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 visa 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.