Green Card ML Engineer Jobs
ML Engineer roles qualify for EB-2 sponsorship when the position requires an advanced degree in computer science, statistics, or a related field, and for EB-3 when a bachelor's degree suffices. Employers file PERM labor certification with DOL before petitioning USCIS, making documented specialty-occupation duties and prevailing-wage compliance central to a successful sponsorship.
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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 3,675+ Green Card ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card ML Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a ML Engineer
Document your ML specialization before applying
PERM requires your employer to prove the role needs your specific qualifications. Compile publications, model deployment records, and performance benchmarks that tie your ML credentials to the job duties your employer will list on the labor certification.
Target employers with dedicated immigration infrastructure
Large tech firms and research-driven companies with in-house immigration counsel move PERM cases faster and with fewer errors. Look for ML roles at organizations that have sponsored foreign workers before, not just those posting open positions.
Search green card sponsoring ML jobs on Migrate Mate
Filter by EB-2 or EB-3 sponsorship history to find ML Engineer roles at employers who have actually filed PERM cases. Migrate Mate surfaces this DOL disclosure data so you skip the manual search through raw government filings.
Understand the prevailing wage before negotiating your offer
DOL sets four wage levels for ML Engineer roles by location. Use the OFLC Wage Search to check the Level II or Level III rate for your target metro area before your offer conversation, since your salary must meet or exceed the certified wage.
Ask your employer about EB-2 versus EB-3 at the offer stage
If your role genuinely requires a master's degree or you hold a strong credentials profile, EB-2 often means a shorter priority date wait for most nationalities. Clarify which category your employer intends to file under before you accept the offer.
Plan for the PERM recruitment audit window
DOL requires your employer to conduct good-faith recruitment and retain records for five years in case of an audit. Delays in starting that recruitment phase are the most common reason PERM timelines slip, so confirm your employer has begun the process.
Green Card ML Engineer: Frequently Asked Questions
Does an ML Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Most ML Engineer positions qualify for EB-2 because employers routinely require a master's degree or equivalent in computer science, machine learning, or statistics. If the posted job description accepts a bachelor's degree, your employer will file under EB-3 instead. The distinction matters for priority date wait times, which vary significantly by your country of birth.
How does green card sponsorship differ from H-1B for ML Engineer roles?
Green card sponsorship through PERM and an I-140 petition leads to permanent residency, not a temporary work visa. There is no annual lottery for EB-3 the way there is for H-1B visa, and once your I-140 is approved your priority date is locked even if you change employers under portability rules. The tradeoff is a longer overall timeline, often two to five years from PERM filing to a green card in hand for most nationalities.
What does the PERM labor certification process look like for ML Engineer jobs?
Your employer files a PERM application with DOL certifying that no qualified U.S. worker was available for the ML Engineer role at the prevailing wage. DOL requires a specific recruitment campaign before filing, including job postings and documentation of applicant review. Once DOL certifies the PERM, your employer files the I-140 immigrant petition with USCIS, which locks in your priority date.
How can I find ML Engineer jobs where the employer will sponsor a green card?
Search for ML Engineer roles on Migrate Mate, which filters positions by employers with confirmed EB-2 and EB-3 PERM filing history drawn from DOL disclosure data. This removes the guesswork of cold-applying to companies that have never sponsored a foreign worker, letting you focus your effort on employers who have already run the process.
Can I use O*NET to confirm whether my ML Engineer duties support a specialty occupation?
Yes. The O*NET profile for ML Engineer and related data science occupations lists the typical education requirements, core tasks, and required knowledge areas that DOL and USCIS use when evaluating specialty occupation and PERM eligibility. If your day-to-day duties align closely with the O*NET task list, your employer's labor certification case is on stronger footing.