Green Card AI ML Engineer Jobs
AI ML 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. workers are available for the position. Most roles in machine learning and AI infrastructure meet specialty occupation standards, making employer-sponsored permanent residency a realistic path for qualified foreign professionals.
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Get Access To All JobsAbout Day and Zimmermann
When you’ve been around for more than a century, you know a thing or two! At Day & Zimmermann, we take our lifetime of experience and make things better! Our 37,000+ employees help bring big ideas to life every day. We’re pushing the boundaries of innovation in construction & engineering, operations & maintenance, staffing, and security & defense. And that’s not all. Did we mention that we have 900+ worldwide locations with $3 billion USD in annual revenue? Come join our in on purpose – We put people to work, we protect American freedoms, and we help our customers power and improve the world. We do what we say.®
Job Summary
Responsible for the end-to-end design, development, and deployment of advanced AI and machine learning solutions in support of D&Z AI initiatives. This senior engineering role requires equal expertise in generative AI application development and traditional machine learning, spanning the delivery of LLM-based agents, RAG systems, MCP (Model Context Protocol) servers, and predictive models to production. The AI/ML Engineer 2 owns complex projects independently, drives technical architecture decisions, evaluates and integrates emerging AI tools and frameworks, and mentors junior team members through code review and technical guidance. This role collaborates directly with cross-functional stakeholders to scope, design, and integrate AI/ML solutions into business processes, and communicates complex technical concepts clearly to both technical and non-technical audiences.
Responsibilities
- Designs, builds, and deploys production-grade generative AI applications including AI agents, RAG chatbots, workflow automations, and MCP servers using modern frameworks and vector databases. 30%
- Designs, develops, and deploys production-grade predictive models using machine learning techniques across regression, classification, clustering, and time series. 20%
- Authors custom skills, prompts, slash commands, and evaluation harnesses to accelerate team delivery and improve AI application quality, using AI coding tools such as Claude Code, Codex, and Cursor. 15%
- Defines and owns production monitoring, drift detection, online/offline metrics, and retraining strategies for AI/ML systems; applies statistical methods and evaluation frameworks to validate outputs and drive iterative improvement. 10%
- Owns data engineering and pipeline infrastructure underlying AI/ML systems, including retrieval architectures, embeddings, context engineering, and model training/fine-tuning workflows. 10%
- Reviews code, mentors junior engineers, and contributes to team-wide engineering standards, documentation, and internal knowledge management patterns. Presents results and delivers live demonstrations of AI/ML solutions to technical and executive audiences. 15%
KSAs (Knowledge, Skills, and Abilities)
- Deep hands-on experience building production LLM applications with leading providers (Anthropic, OpenAI, Google, open-source models); expertise in prompt engineering, context engineering, retrieval-augmented generation (RAG) with vector databases, AI agent design, tool use, and Model Context Protocol (MCP) server development; experience authoring custom skills and building evaluation harnesses for LLM systems.
- Proficiency in ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow); strong foundation in statistical analysis, hypothesis testing, feature engineering, model optimization, deployment, and monitoring of predictive models across regression, classification, clustering, and time series; ability to design and validate experiments, define online/offline metrics, and apply quantitative methods to production problems.
- Strong proficiency in Python as the primary language across ML and AI application development; comfort writing production-grade, maintainable, well-tested code.
- Strong SQL skills with expertise in data extraction, cleaning, transformation, and pipeline development for structured and unstructured data; experience deploying ML/AI workloads across on-premises infrastructure and cloud platforms (AWS, Azure, GCP).
- Proficient in Git, branching strategies, code review, and CI/CD pipelines; experience with containerization, API development, and observability (logging, tracing, cost and token monitoring) for LLM applications; proficient use of AI coding tools (Claude Code, Codex, Cursor) including configuring them, authoring custom skills and commands, and integrating them into team workflows; familiarity with guardrails and security considerations for production AI systems.
- Ability to lead technical discovery with stakeholders, make architecture decisions, review code, mentor junior engineers, and raise the technical bar across the team.
- Skilled at creating dashboards, data visualizations, live demos, and technical presentations to convey complex AI/ML findings to technical and non-technical stakeholders.
- Experienced in gathering requirements, working in cross-functional teams, and producing clear documentation, user guides, and technical reports.
Minimum Qualifications
- Bachelor’s Degree in Arts/Sciences (BA/BS) in IT, Computer Science, or related field highly preferred
- Will consider 7 years relevant experience in lieu of degree
- 4+ years of relevant experience
- Great attitude and team player.
- Successful completion of background screening process.
Essential Functions
- Visual acuity (e.g., needed to prepare and analyze data, to transcribe documents, to view a computer, to read, to inspect objects, to operate machinery)
- Manual Dexterity (e.g., picking, pinching, typing, or other working that uses the fingers)
- Grasping (e.g., use of hand to apply pressure)
- Hearing
- Talking
- Capacity to think, concentrate and focus over long periods of time
- Ability to write complex documents in the [English] language
- Ability to read complex documents in [English] language
- Capacity to express thoughts orally (e.g., accurately, quick and loudly convey spoken instructions to workers)
- Capacity to reason and make sound decisions
- Ability to regularly perform all job functions at Company’s office or work site
Compensation and Benefits
In compliance with this state’s pay transparency laws, the salary range for this role is $101,840.00 - $165,490.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. (The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements).
We care about our employees and it shows. Our staff receive a competitive salary and a comprehensive benefits package which includes medical/Rx, dental and vision coverage; life, AD&D and disability insurance; flexible spending accounts; 100% paid maternity leave for up to 12 weeks, parental leave, family leave, other paid time off; voluntary benefits and discount programs to meet our employees’ individual needs including pet insurance for our furry family members!
Diversity, Inclusion & Equal Employment Opportunity
Day & Zimmermann is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated and promoted based on their contributions to our Company. Our collective strength is rooted in over a century of diverse employees and businesses, commitment to success, and delivery on promises made. Federal and state Equal Employment Opportunity laws prohibit employment discrimination based on race, color, religion, sex, sexual orientation, age, national origin, citizenship status, veteran status and disability status. Day & Zimmermann is committed to providing an equal opportunity work environment in full compliance with these laws. If you are an individual with a disability and you require an accommodation in the application process, please email reasonableaccommodation@dayzim.com, and please specify which position you are interested in, including job title and location.
About Day and Zimmermann
When you’ve been around for more than a century, you know a thing or two! At Day & Zimmermann, we take our lifetime of experience and make things better! Our 37,000+ employees help bring big ideas to life every day. We’re pushing the boundaries of innovation in construction & engineering, operations & maintenance, staffing, and security & defense. And that’s not all. Did we mention that we have 900+ worldwide locations with $3 billion USD in annual revenue? Come join our in on purpose – We put people to work, we protect American freedoms, and we help our customers power and improve the world. We do what we say.®
Job Summary
Responsible for the end-to-end design, development, and deployment of advanced AI and machine learning solutions in support of D&Z AI initiatives. This senior engineering role requires equal expertise in generative AI application development and traditional machine learning, spanning the delivery of LLM-based agents, RAG systems, MCP (Model Context Protocol) servers, and predictive models to production. The AI/ML Engineer 2 owns complex projects independently, drives technical architecture decisions, evaluates and integrates emerging AI tools and frameworks, and mentors junior team members through code review and technical guidance. This role collaborates directly with cross-functional stakeholders to scope, design, and integrate AI/ML solutions into business processes, and communicates complex technical concepts clearly to both technical and non-technical audiences.
Responsibilities
- Designs, builds, and deploys production-grade generative AI applications including AI agents, RAG chatbots, workflow automations, and MCP servers using modern frameworks and vector databases. 30%
- Designs, develops, and deploys production-grade predictive models using machine learning techniques across regression, classification, clustering, and time series. 20%
- Authors custom skills, prompts, slash commands, and evaluation harnesses to accelerate team delivery and improve AI application quality, using AI coding tools such as Claude Code, Codex, and Cursor. 15%
- Defines and owns production monitoring, drift detection, online/offline metrics, and retraining strategies for AI/ML systems; applies statistical methods and evaluation frameworks to validate outputs and drive iterative improvement. 10%
- Owns data engineering and pipeline infrastructure underlying AI/ML systems, including retrieval architectures, embeddings, context engineering, and model training/fine-tuning workflows. 10%
- Reviews code, mentors junior engineers, and contributes to team-wide engineering standards, documentation, and internal knowledge management patterns. Presents results and delivers live demonstrations of AI/ML solutions to technical and executive audiences. 15%
KSAs (Knowledge, Skills, and Abilities)
- Deep hands-on experience building production LLM applications with leading providers (Anthropic, OpenAI, Google, open-source models); expertise in prompt engineering, context engineering, retrieval-augmented generation (RAG) with vector databases, AI agent design, tool use, and Model Context Protocol (MCP) server development; experience authoring custom skills and building evaluation harnesses for LLM systems.
- Proficiency in ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow); strong foundation in statistical analysis, hypothesis testing, feature engineering, model optimization, deployment, and monitoring of predictive models across regression, classification, clustering, and time series; ability to design and validate experiments, define online/offline metrics, and apply quantitative methods to production problems.
- Strong proficiency in Python as the primary language across ML and AI application development; comfort writing production-grade, maintainable, well-tested code.
- Strong SQL skills with expertise in data extraction, cleaning, transformation, and pipeline development for structured and unstructured data; experience deploying ML/AI workloads across on-premises infrastructure and cloud platforms (AWS, Azure, GCP).
- Proficient in Git, branching strategies, code review, and CI/CD pipelines; experience with containerization, API development, and observability (logging, tracing, cost and token monitoring) for LLM applications; proficient use of AI coding tools (Claude Code, Codex, Cursor) including configuring them, authoring custom skills and commands, and integrating them into team workflows; familiarity with guardrails and security considerations for production AI systems.
- Ability to lead technical discovery with stakeholders, make architecture decisions, review code, mentor junior engineers, and raise the technical bar across the team.
- Skilled at creating dashboards, data visualizations, live demos, and technical presentations to convey complex AI/ML findings to technical and non-technical stakeholders.
- Experienced in gathering requirements, working in cross-functional teams, and producing clear documentation, user guides, and technical reports.
Minimum Qualifications
- Bachelor’s Degree in Arts/Sciences (BA/BS) in IT, Computer Science, or related field highly preferred
- Will consider 7 years relevant experience in lieu of degree
- 4+ years of relevant experience
- Great attitude and team player.
- Successful completion of background screening process.
Essential Functions
- Visual acuity (e.g., needed to prepare and analyze data, to transcribe documents, to view a computer, to read, to inspect objects, to operate machinery)
- Manual Dexterity (e.g., picking, pinching, typing, or other working that uses the fingers)
- Grasping (e.g., use of hand to apply pressure)
- Hearing
- Talking
- Capacity to think, concentrate and focus over long periods of time
- Ability to write complex documents in the [English] language
- Ability to read complex documents in [English] language
- Capacity to express thoughts orally (e.g., accurately, quick and loudly convey spoken instructions to workers)
- Capacity to reason and make sound decisions
- Ability to regularly perform all job functions at Company’s office or work site
Compensation and Benefits
In compliance with this state’s pay transparency laws, the salary range for this role is $101,840.00 - $165,490.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. (The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements).
We care about our employees and it shows. Our staff receive a competitive salary and a comprehensive benefits package which includes medical/Rx, dental and vision coverage; life, AD&D and disability insurance; flexible spending accounts; 100% paid maternity leave for up to 12 weeks, parental leave, family leave, other paid time off; voluntary benefits and discount programs to meet our employees’ individual needs including pet insurance for our furry family members!
Diversity, Inclusion & Equal Employment Opportunity
Day & Zimmermann is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated and promoted based on their contributions to our Company. Our collective strength is rooted in over a century of diverse employees and businesses, commitment to success, and delivery on promises made. Federal and state Equal Employment Opportunity laws prohibit employment discrimination based on race, color, religion, sex, sexual orientation, age, national origin, citizenship status, veteran status and disability status. Day & Zimmermann is committed to providing an equal opportunity work environment in full compliance with these laws. If you are an individual with a disability and you require an accommodation in the application process, please email reasonableaccommodation@dayzim.com, and please specify which position you are interested in, including job title and location.
See all 3,490+ Green Card AI ML Engineer Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as an AI ML Engineer
Align your credentials to PERM requirements
PERM requires your employer to define a minimum education requirement for the role. A master's degree in computer science, statistics, or a related field strengthens EB-2 eligibility, while a relevant bachelor's degree supports EB-3 filing without advanced-degree documentation gaps.
Target employers with active I-140 history
Search for companies that have filed I-140 petitions for ML and AI roles before. Prior filings show an employer already has PERM infrastructure in place, which shortens your internal approval timeline and reduces the chance they abandon sponsorship mid-process.
Check your priority date before accepting an offer
If you're from India or China, your EB-2 or EB-3 priority date determines when you can actually adjust status, not when you get approved. Confirm the current Visa Bulletin cutoff for your country and category before negotiating your start date.
Use Migrate Mate to find AI ML roles with verified green card sponsorship
Search Migrate Mate to filter AI ML Engineer positions by employers with documented PERM and I-140 filing history. This saves weeks of guesswork and surfaces roles where sponsorship is already part of the hiring process, not a future negotiation.
Verify prevailing wage classification during offer review
Your employer must pay at least the DOL prevailing wage for your role and location. Run the OFLC Wage Search before your offer stage to confirm the wage level matches your actual responsibilities, since a Level I wage on a senior ML role can trigger PERM audits.
Negotiate PERM filing start date explicitly in your offer
Employers are not required to begin PERM immediately after hire. Ask during the offer stage for a written commitment on when they'll initiate the labor certification process, since delays past your first year push back your entire green card timeline.
Green Card AI ML Engineer: Frequently Asked Questions
Does an AI ML Engineer role qualify for EB-2 or EB-3 sponsorship?
Most AI ML Engineer positions qualify under EB-2 if the role requires a master's degree or equivalent, or under EB-3 as a skilled worker if a bachelor's degree is the stated minimum. The determining factor is how your employer defines the position's requirements in the PERM labor certification, not just your own credentials. O*NET classifies software and ML roles in Job Zone 4 or 5, which supports specialty occupation arguments at both tiers.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B visa sponsorship is temporary and subject to an annual lottery, while EB-2 and EB-3 green card sponsorship leads to permanent residency with no annual cap on approvals. The PERM process requires your employer to run a formal recruitment test showing no qualified U.S. workers are available, which H-1B does not require. Green card timelines are longer overall, but the outcome is lawful permanent residency rather than a status you must continuously renew.
What does the PERM labor certification process involve for ML roles?
PERM requires your employer to conduct a DOL-prescribed recruitment campaign, document the results, and certify that no qualified U.S. workers applied for the position. For AI ML Engineer roles, the job requirements must be customary for the industry, meaning the employer can't inflate requirements to fit only you. After PERM certification, your employer files an I-140 petition with USCIS to establish your priority date.
How long does the green card process typically take for an AI ML Engineer?
PERM labor certification currently averages well over a year at DOL, and I-140 processing adds additional months at USCIS. If you're from a country without a visa backlog, adjustment of status can follow relatively quickly after I-140 approval. If you're from India or China, EB-2 and EB-3 backlogs can extend the total timeline by many years, so your priority date matters as much as your approval.
Where can I find AI ML Engineer jobs that already offer green card sponsorship?
Migrate Mate lets you search AI ML Engineer positions filtered by employers with verified PERM and I-140 filing history, so you're not applying speculatively and discovering later that sponsorship isn't available. Finding employers who have already run the PERM process for similar roles is the most reliable signal that they'll do it again for you.