H-1B Visa Mlops Engineer Jobs
MLOps Engineer roles qualify for H-1B visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, data engineering, or a related field. Employers across cloud infrastructure, fintech, and AI product companies file H-1B petitions for this role, with LCA prevailing wage levels typically falling at Level II or III under the SOC code for Software Developers.
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Get Access To All JobsINTRODUCTION
We’re hiring an experienced MLOps Engineer to productionize and scale ML and GenAI systems, with a focus on LLM deployment, orchestration, and reliability in production environments.
ROLE AND RESPONSIBILITIES
- Deploy, manage, and scale ML/DL models in production
- Build and operate Kubernetes-based infrastructure for ML workloads
- Handle model packaging, serialization, and versioning
- Design scalable inference systems (batch and real-time)
- Deploy and optimize local LLMs (latency, throughput, cost)
- Implement GenAI workflows (RAG, prompt pipelines, orchestration)
- Build and manage agentic systems with tool integration
- Design and manage LLM memory (short-term, long-term, vector stores)
- Integrate and manage API gateways for model access, routing, and rate limiting
- Monitor performance, drift, and system reliability
BASIC QUALIFICATIONS
- Strong Kubernetes fundamentals (pods, services, autoscaling, deployments)
- Hands-on experience with ML/DL models and serialization
- Proven experience in model deployment, scaling, and monitoring
- Experience with local LLM deployment and optimization
- Solid understanding of LLM memory patterns (context windows, retrieval, persistence)
- Experience with API gateways, load balancing, and service routing
- Familiarity with GenAI workflows (RAG, orchestration frameworks)
- Experience building agentic / multi-step LLM systems
- Proficiency in Python and modern ML/infra tooling
INTRODUCTION
We’re hiring an experienced MLOps Engineer to productionize and scale ML and GenAI systems, with a focus on LLM deployment, orchestration, and reliability in production environments.
ROLE AND RESPONSIBILITIES
- Deploy, manage, and scale ML/DL models in production
- Build and operate Kubernetes-based infrastructure for ML workloads
- Handle model packaging, serialization, and versioning
- Design scalable inference systems (batch and real-time)
- Deploy and optimize local LLMs (latency, throughput, cost)
- Implement GenAI workflows (RAG, prompt pipelines, orchestration)
- Build and manage agentic systems with tool integration
- Design and manage LLM memory (short-term, long-term, vector stores)
- Integrate and manage API gateways for model access, routing, and rate limiting
- Monitor performance, drift, and system reliability
BASIC QUALIFICATIONS
- Strong Kubernetes fundamentals (pods, services, autoscaling, deployments)
- Hands-on experience with ML/DL models and serialization
- Proven experience in model deployment, scaling, and monitoring
- Experience with local LLM deployment and optimization
- Solid understanding of LLM memory patterns (context windows, retrieval, persistence)
- Experience with API gateways, load balancing, and service routing
- Familiarity with GenAI workflows (RAG, orchestration frameworks)
- Experience building agentic / multi-step LLM systems
- Proficiency in Python and modern ML/infra tooling
See all 140+ H-1B Visa Mlops Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Mlops Engineer
Match your SOC code before applying
MLOps Engineers are typically filed under Software Developers or Computer Occupations SOC codes. Check your offer letter's job duties align with the SOC code your employer plans to use, since a mismatch can trigger an RFE during adjudication.
Verify prevailing wage before accepting offers
Use the OFLC Wage Search to look up the prevailing wage for the SOC code and location in your offer. If the offered salary falls below Level II, your employer's LCA certification is at risk, which stalls the H-1B petition entirely.
Target employers with LCA filings for ML roles
Use Migrate Mate to filter for employers with verified LCA filing history in machine learning and MLOps roles. This cuts out companies that express interest but have no demonstrated track record of H-1B sponsorship for technical AI positions.
Document cloud platform certifications before filing
USCIS scrutinizes specialty occupation for MLOps roles because the title is still relatively new. AWS, GCP, or Azure ML certifications, combined with a transcript showing relevant coursework, strengthen the specialty occupation argument in your I-129 petition.
Clarify who files the LCA with your recruiter
Some employers outsource immigration to a third-party vendor who may delay DOL LCA submission. Confirm during the offer stage that the employer will file the LCA directly or through counsel before your start date, not after onboarding begins.
Use the cap-gap window if your OPT expires mid-pipeline
If you're on OPT and your H-1B is selected in the lottery but not yet approved by October 1, the cap-gap provision automatically extends your work authorization. Confirm your employer knows to keep your start date at October 1 or later to stay within this window.
H-1B Visa Mlops Engineer: Frequently Asked Questions
Does an MLOps Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. MLOps Engineer roles qualify as specialty occupations under H-1B rules when the position requires at least a bachelor's degree in computer science, data engineering, software engineering, or a closely related field. USCIS looks at whether the degree requirement is standard for the role in the industry, so job descriptions that list a specific technical degree as required, not preferred, are stronger petition candidates. Roles that accept any bachelor's degree regardless of field are harder to defend.
Which employers sponsor H-1B visas for MLOps Engineers?
Cloud infrastructure companies, AI product startups, financial services firms, and large tech employers are the most consistent H-1B sponsors for MLOps roles. Employers that run production ML systems at scale tend to have established immigration processes and file LCAs regularly under relevant SOC codes. Migrate Mate lets you browse MLOps Engineer roles filtered by employers with verified H-1B filing history, so you're not applying blind.
What SOC code does USCIS typically use for MLOps Engineer H-1B petitions?
Employers most commonly file MLOps Engineer petitions under the Software Developers SOC code or, in some cases, Computer Occupations. The choice affects the prevailing wage level your employer must certify on the LCA. Ask your employer's immigration counsel which SOC code they plan to use before the LCA is submitted, since switching after certification requires refiling with DOL.
Can I transfer my H-1B to a new employer if my MLOps role changes scope significantly?
Yes, you can transfer your H-1B to a new employer through H-1B portability without waiting for full approval, as long as you file the new petition while your current status is valid and you've been in lawful H-1B status for at least one year. If the new role involves a materially different job description, the new employer files a fresh I-129 petition with a new LCA rather than a simple transfer. Portability lets you start the new job once the transfer petition is filed, not after approval.
How does the H-1B lottery affect MLOps Engineers trying to plan their job search timeline?
The H-1B cap lottery opens in March each year for an October 1 start date, so MLOps Engineers on OPT need a job offer in hand by late February to be included. If you're not selected, your employer can reenter you in subsequent years or explore cap-exempt employers, such as universities and certain nonprofit research organizations, which can file H-1B petitions year-round outside the cap. O*NET lists MLOps-adjacent occupations if you need to verify job zone classification for planning purposes.