Green Card Senior Mlops Engineer 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 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 Senior Mlops Engineer Jobs
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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.
Green Card Senior Mlops Engineer: 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 visa 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.