E-3 Visa Senior Mlops Engineer Jobs
Senior MLOps Engineer roles qualify as E-3 visa specialty occupations, meaning Australian citizens can pursue U.S. sponsorship without entering a lottery. Employers file a Labor Condition Application with the DOL, then you attend a consulate interview in Australia. The visa is renewable every two years with no cap.
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Title: Mlops Engineer
Duration: 6 Months + CTH
Location: Remote (1 Week Mandatory onboarding in tampa, FL expenses will be paid) (ONLY W2)
Job Description:
Essential Duties and Responsibilities:
- Design, implement, and maintain machine learning pipelines and workflows for the continuous deployment and integration of machine learning models. Optimize the pipelines for scalability, efficiency, and cost-effectiveness.
- Collaborate with data scientists and AI engineers to understand model requirements and optimize deployment processes.
- Automate the training, testing, and deployment processes for machine learning models.
- Establish and enforce best practices for version control, documentation, and code quality in ML projects.
- Monitor model performance and optimize algorithms for efficiency.
- Conduct regular maintenance and updates to deployed models.
- Collaborate with cross-functional teams to integrate machine learning solutions into business processes and applications.
- Work with go to market, product management, and IT functions as well as stakeholders in AF and its members to identify the optimal methods for model rollout and adoption.
- Maintain and optimize the cloud-based machine learning infrastructure and make recommendations for improvements.
- Manage and allocate resources effectively, including computer power and storage for model inference.
- Develop practices and utilize tools for data validation, model testing, and versioning.
- Troubleshoot and resolve machine learning operational issues.
- Document processes, workflows, and best practices for ML Operations.
- Provide technical leadership and mentorship to junior data team members.
Additional Duties and Responsibilities
- Support data observability efforts to ensure the data continuum and enforce governance standards.
- Other duties assigned by manager or project needs.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
- Minimum of 6 years of experience in data science, machine learning, data management, data governance, or related role.
- Minimum of 6 years as a MLOps Engineer or in a similar role.
Technical Skills:
- Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud).
- Experience with AI tools, such as MS Azure ML, Snowflake, Databricks, CortexAI, Dataiku.
- Deep understanding of data science principles, algorithms, and tools.
- Strong knowledge of data governance, data security, and compliance practices.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with containerization tools like Docker and orchestration tools like Kubernetes.
- Proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Working knowledge of CI/CD pipelines, DevOps practices, and automation frameworks.
- Deep understanding of data engineering concepts and tools.
- Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI).
Soft Skills:
- Excellent analytical and problem-solving abilities.
- Strong communication and interpersonal skills to collaborate with cross-functional teams.
- Ability to lead projects and mentor junior staff.
- Auto Insurance claims industry experience preferred.
W2 Only
Title: Mlops Engineer
Duration: 6 Months + CTH
Location: Remote (1 Week Mandatory onboarding in tampa, FL expenses will be paid) (ONLY W2)
Job Description:
Essential Duties and Responsibilities:
- Design, implement, and maintain machine learning pipelines and workflows for the continuous deployment and integration of machine learning models. Optimize the pipelines for scalability, efficiency, and cost-effectiveness.
- Collaborate with data scientists and AI engineers to understand model requirements and optimize deployment processes.
- Automate the training, testing, and deployment processes for machine learning models.
- Establish and enforce best practices for version control, documentation, and code quality in ML projects.
- Monitor model performance and optimize algorithms for efficiency.
- Conduct regular maintenance and updates to deployed models.
- Collaborate with cross-functional teams to integrate machine learning solutions into business processes and applications.
- Work with go to market, product management, and IT functions as well as stakeholders in AF and its members to identify the optimal methods for model rollout and adoption.
- Maintain and optimize the cloud-based machine learning infrastructure and make recommendations for improvements.
- Manage and allocate resources effectively, including computer power and storage for model inference.
- Develop practices and utilize tools for data validation, model testing, and versioning.
- Troubleshoot and resolve machine learning operational issues.
- Document processes, workflows, and best practices for ML Operations.
- Provide technical leadership and mentorship to junior data team members.
Additional Duties and Responsibilities
- Support data observability efforts to ensure the data continuum and enforce governance standards.
- Other duties assigned by manager or project needs.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
- Minimum of 6 years of experience in data science, machine learning, data management, data governance, or related role.
- Minimum of 6 years as a MLOps Engineer or in a similar role.
Technical Skills:
- Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud).
- Experience with AI tools, such as MS Azure ML, Snowflake, Databricks, CortexAI, Dataiku.
- Deep understanding of data science principles, algorithms, and tools.
- Strong knowledge of data governance, data security, and compliance practices.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with containerization tools like Docker and orchestration tools like Kubernetes.
- Proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Working knowledge of CI/CD pipelines, DevOps practices, and automation frameworks.
- Deep understanding of data engineering concepts and tools.
- Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI).
Soft Skills:
- Excellent analytical and problem-solving abilities.
- Strong communication and interpersonal skills to collaborate with cross-functional teams.
- Ability to lead projects and mentor junior staff.
- Auto Insurance claims industry experience preferred.
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Senior Mlops Engineer
Translate your MLOps credentials for U.S. hiring managers
Australian MLOps experience with tools like Kubeflow, MLflow, or SageMaker maps directly to U.S. job requirements, but frame your CV around production deployment cycles and model monitoring ownership rather than project contributions. U.S. hiring managers prioritize operational accountability.
Target employers with active LCA filing history
Search the DOL's OFLC disclosure data for companies that have filed LCAs under SOC codes for MLOps or related ML engineering titles. Employers already familiar with LCA certification understand the E-3 process and are far less likely to withdraw an offer over sponsorship uncertainty.
Clarify the E-3 timeline during the offer stage
Once you have a written offer, DOL LCA certification typically takes seven business days, followed by a consulate appointment. Tell your hiring manager upfront that the E-3 process runs faster than H-1B visa change of status, which removes a common reason employers hesitate to extend offers.
Verify your degree field aligns with the MLOps specialty occupation standard
USCIS requires your degree to be in a directly related field, such as computer science, software engineering, or a quantitative discipline. If your Australian degree title is non-standard, gather course transcripts showing machine learning, distributed systems, or data engineering coursework before your consulate appointment.
Use Migrate Mate's E-3 filing service to streamline your application
MLOps roles often involve complex job duty descriptions that need to satisfy the specialty occupation standard. Migrate Mate's E-3 filing service handles your LCA filing, visa paperwork, and consulate preparation end-to-end, reducing the back-and-forth that slows down technical role applications.
Prepare for consulate questions about remote and contractor arrangements
Senior MLOps Engineers frequently work across distributed teams or on platform-level infrastructure that serves multiple internal clients. Consular officers may ask whether your role is permanent employment or contract work, so bring documentation confirming a direct employment relationship with a single U.S. employer.
E-3 Visa Senior Mlops Engineer: Frequently Asked Questions
How do I find Senior MLOps Engineer jobs that offer E-3 visa sponsorship?
Migrate Mate is the most direct way to search for Senior MLOps Engineer roles with confirmed E-3 sponsorship. Most general job boards don't filter by visa type, so you end up spending time on roles where the employer has no sponsorship history. Migrate Mate surfaces companies that have actively filed LCAs, which is the strongest signal an employer will support your E-3 application.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Senior MLOps Engineer role qualify as a specialty occupation for the E-3 visa?
Yes. Senior MLOps Engineer positions typically require a bachelor's degree or higher in computer science, software engineering, or a related quantitative field, which meets the USCIS specialty occupation standard. The role must require that specific degree for entry, not just prefer it. Roles focused on ML pipeline architecture, model deployment infrastructure, and production monitoring consistently meet this threshold.
How does the E-3 visa compare to H-1B for Australian MLOps engineers?
The E-3 visa is available only to Australian citizens and has no annual lottery, unlike the H-1B which is capped at 85,000 per year and requires winning a random selection. For MLOps engineers, this means you can apply at any point in the year once you have a job offer, and your employer faces a much shorter timeline from offer to start date, typically two to four weeks after LCA certification.
Can I change employers or take on a new MLOps contract while on an E-3 visa?
Yes, but each new employer must file a fresh LCA and you'll need a new E-3 visa stamp or an amended status if you're already in the U.S. There's no portability provision like some other visa categories. For senior-level MLOps roles that may involve platform-level work spanning multiple business units, confirm with your new employer that the job duties are tied to a single legal entity before starting the LCA process.