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 JobsAgentOps / MLOps Engineer
Locations are Austin, Charlotte, San Diego - Onsite
12 Months Contract
Experience: 7+ years in platform / DevOps / MLOps engineering, including production LLM or ML workloads. You turn a working pipeline into a production system. The existing toolchain needs to be fully wired into CI/CD. You will enhance it with a proper evaluation and guardian pattern, and make the whole thing observable, auditable and affordable.
Responsibilities
- Productionise the existing RAG and scanner toolchain through CI/CD — connecting the pipeline end to end so scans, dispositions and remediations flow without manual intervention.
- Build the guardian / evaluation agent: an automated check that runs on every sub-agent deliverable, replacing the current brute-force knowledge-capture approach with a best-practice evaluation pattern.
- Implement the deterministic assertion layer as a programmatic gate — automatically rejecting any disposition that contradicts its own evidence, before a human ever sees it.
- Own AgentOps: trace capture, prompt / rule / model versioning, evaluation-in-CI, regression harnesses, and drift detection.
- Build the observability the team watches daily: pending burn-down, auto-disposition rate, accuracy against the gold set, human-minutes per item, assertion-rejection rate and cost per item.
- Own FinOps for the AI workload: model routing, delta-scoped runs (re-processing only items whose evidence changed), caching, and a per-cycle token budget tracked as a service-level objective.
- Guarantee provenance and auditability for a regulated environment — every decision reproducible from its evidence snapshot, rule/prompt/model version and human verdict.
Qualifications
- Python — production-grade.
- CI/CD automation for application and ML/LLM workloads; release automation and test gating.
- AgentOps / LLMOps — tracing, prompt versioning, evaluation in CI, regression harnesses, drift detection.
- Observability — OpenTelemetry, distributed tracing, metrics and logging; building dashboards operators actually use.
- AWS; containerisation; infrastructure-as-code (Terraform).
- FinOps for AI workloads — token accounting, model-routing economics, cost dashboards.
- Guardrails and policy-as-code; secure handling of regulated data.
Working knowledge
- Kubernetes; LangGraph; AWS Bedrock Guardrails.
- SQL; Informatica; evaluation-harness construction.
If interested, Kindly reply with the following details to Email- jnehru@nam-it.com Visa Status Current Location Resume
AgentOps / MLOps Engineer
Locations are Austin, Charlotte, San Diego - Onsite
12 Months Contract
Experience: 7+ years in platform / DevOps / MLOps engineering, including production LLM or ML workloads. You turn a working pipeline into a production system. The existing toolchain needs to be fully wired into CI/CD. You will enhance it with a proper evaluation and guardian pattern, and make the whole thing observable, auditable and affordable.
Responsibilities
- Productionise the existing RAG and scanner toolchain through CI/CD — connecting the pipeline end to end so scans, dispositions and remediations flow without manual intervention.
- Build the guardian / evaluation agent: an automated check that runs on every sub-agent deliverable, replacing the current brute-force knowledge-capture approach with a best-practice evaluation pattern.
- Implement the deterministic assertion layer as a programmatic gate — automatically rejecting any disposition that contradicts its own evidence, before a human ever sees it.
- Own AgentOps: trace capture, prompt / rule / model versioning, evaluation-in-CI, regression harnesses, and drift detection.
- Build the observability the team watches daily: pending burn-down, auto-disposition rate, accuracy against the gold set, human-minutes per item, assertion-rejection rate and cost per item.
- Own FinOps for the AI workload: model routing, delta-scoped runs (re-processing only items whose evidence changed), caching, and a per-cycle token budget tracked as a service-level objective.
- Guarantee provenance and auditability for a regulated environment — every decision reproducible from its evidence snapshot, rule/prompt/model version and human verdict.
Qualifications
- Python — production-grade.
- CI/CD automation for application and ML/LLM workloads; release automation and test gating.
- AgentOps / LLMOps — tracing, prompt versioning, evaluation in CI, regression harnesses, drift detection.
- Observability — OpenTelemetry, distributed tracing, metrics and logging; building dashboards operators actually use.
- AWS; containerisation; infrastructure-as-code (Terraform).
- FinOps for AI workloads — token accounting, model-routing economics, cost dashboards.
- Guardrails and policy-as-code; secure handling of regulated data.
Working knowledge
- Kubernetes; LangGraph; AWS Bedrock Guardrails.
- SQL; Informatica; evaluation-harness construction.
If interested, Kindly reply with the following details to Email- jnehru@nam-it.com Visa Status Current Location Resume
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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.