H-1B Visa Operations Technician Jobs
Operations Technician roles qualify for H-1B visa sponsorship when the position requires at least a bachelor's degree in engineering, industrial technology, or a related technical field. Employers in manufacturing, energy, and utilities file H-1B petitions for these roles through the annual cap, with a 60-day grace period if your status ends.
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Get Access To All JobsINTRODUCTION
The ML Ops Engineer II at Boston Children’s Hospital is an integral part of the Cardio Engineering Team within the Department of Cardiac Surgery. This role is pivotal in developing and scaling advanced AI and machine learning projects, enhancing data frameworks, and optimizing data flows to support the hospital’s strategic initiatives. The ML Ops Engineer II works in close collaboration with data scientists and various stakeholders across the hospital to develop solutions that improve patient care outcomes and operational efficiency. Focused on innovation and technological advancement, the ML Ops Engineer II ensures the robust integration of data science into clinical and administrative processes.
ROLE AND RESPONSIBILITIES
- Leads the development, implementation, and scaling of machine learning models and other AI-driven projects within the Data & Analytics team.
- Collaborates with data scientists and other stakeholders to translate complex model requirements into operational systems.
- Ensures robust and scalable infrastructure to support AI deployments and continuous learning cycles.
- Utilizes SQL, Python, and dbt to build and optimize data models that support complex queries and analyses essential for AI projects.
- Interprets data analysis results and communicates findings to both technical and non-technical stakeholders, ensuring actionable insights.
- Works closely with healthcare professionals, researchers, and administrators to define and refine data requirements for AI applications.
- Provides expert guidance and mentorship to junior engineers and other team members on data science and engineering best practices.
- Manages multiple AI and data science projects, ensuring effective communication, adherence to timelines, and delivery within budget.
- Acts as a project lead, coordinating efforts across different teams and ensuring project milestones are met.
- Develops project plans, tracks progress, and adjusts resources and timelines as needed to ensure successful project delivery.
- Partners with Innovation and Digital Health Accelerator to operationalize AI within BCH.
- Actively seeks and integrates new technologies and methodologies to enhance the capabilities of AI projects and data processes.
- Stays informed of the latest industry trends and technologies, advocating for the adoption of innovative solutions that can provide competitive advantages.
- Encourages and leads initiatives to explore and adopt innovative solutions that provide competitive advantages.
- Ensures the integrity and reliability of data used in AI and machine learning projects, adhering to quality standards and compliance requirements.
- Maintains comprehensive documentation of all data processes, models, and code to ensure reproducibility and adherence to internal and external regulations.
- Conducts regular code reviews and quality checks to ensure best practices are followed and standards are met.
MINIMUM QUALIFICATIONS
Education:
A bachelor's degree in computer science, engineering or a related field; master's degree is preferred.
Experience:
- 3-5 years of relevant experience in data engineering, including project leadership responsibilities and advanced technical contributions to AI or machine learning projects.
- Proficient in SQL and an understanding of database management systems.
- Familiarity with ETL tools; experience with dbt is highly advantageous.
- Familiarity with nnU-Net and other CNN and deep learning approaches for image segmentation and processing.
- Strong capabilities in Python or another advanced scripting language, essential for AI and machine learning model development.
- Experience with cloud-based data platforms and tools such as AWS, Azure, or GCP is a plus.
- Demonstrated experience in managing multiple projects, including developing project plans, tracking progress, and adjusting resources and timelines.
STATUS
Full-Time
Regular, Temporary, Per Diem
Regular
STANDARD HOURS PER WEEK
40
PAY RANGE
$93,537.60 - $149,656.00 Annual
OFFICE/SITE LOCATION
Boston
JOB POSTING CATEGORY
Research
REMOTE ELIGIBILITY
Part Remote/Hybrid
INTRODUCTION
The ML Ops Engineer II at Boston Children’s Hospital is an integral part of the Cardio Engineering Team within the Department of Cardiac Surgery. This role is pivotal in developing and scaling advanced AI and machine learning projects, enhancing data frameworks, and optimizing data flows to support the hospital’s strategic initiatives. The ML Ops Engineer II works in close collaboration with data scientists and various stakeholders across the hospital to develop solutions that improve patient care outcomes and operational efficiency. Focused on innovation and technological advancement, the ML Ops Engineer II ensures the robust integration of data science into clinical and administrative processes.
ROLE AND RESPONSIBILITIES
- Leads the development, implementation, and scaling of machine learning models and other AI-driven projects within the Data & Analytics team.
- Collaborates with data scientists and other stakeholders to translate complex model requirements into operational systems.
- Ensures robust and scalable infrastructure to support AI deployments and continuous learning cycles.
- Utilizes SQL, Python, and dbt to build and optimize data models that support complex queries and analyses essential for AI projects.
- Interprets data analysis results and communicates findings to both technical and non-technical stakeholders, ensuring actionable insights.
- Works closely with healthcare professionals, researchers, and administrators to define and refine data requirements for AI applications.
- Provides expert guidance and mentorship to junior engineers and other team members on data science and engineering best practices.
- Manages multiple AI and data science projects, ensuring effective communication, adherence to timelines, and delivery within budget.
- Acts as a project lead, coordinating efforts across different teams and ensuring project milestones are met.
- Develops project plans, tracks progress, and adjusts resources and timelines as needed to ensure successful project delivery.
- Partners with Innovation and Digital Health Accelerator to operationalize AI within BCH.
- Actively seeks and integrates new technologies and methodologies to enhance the capabilities of AI projects and data processes.
- Stays informed of the latest industry trends and technologies, advocating for the adoption of innovative solutions that can provide competitive advantages.
- Encourages and leads initiatives to explore and adopt innovative solutions that provide competitive advantages.
- Ensures the integrity and reliability of data used in AI and machine learning projects, adhering to quality standards and compliance requirements.
- Maintains comprehensive documentation of all data processes, models, and code to ensure reproducibility and adherence to internal and external regulations.
- Conducts regular code reviews and quality checks to ensure best practices are followed and standards are met.
MINIMUM QUALIFICATIONS
Education:
A bachelor's degree in computer science, engineering or a related field; master's degree is preferred.
Experience:
- 3-5 years of relevant experience in data engineering, including project leadership responsibilities and advanced technical contributions to AI or machine learning projects.
- Proficient in SQL and an understanding of database management systems.
- Familiarity with ETL tools; experience with dbt is highly advantageous.
- Familiarity with nnU-Net and other CNN and deep learning approaches for image segmentation and processing.
- Strong capabilities in Python or another advanced scripting language, essential for AI and machine learning model development.
- Experience with cloud-based data platforms and tools such as AWS, Azure, or GCP is a plus.
- Demonstrated experience in managing multiple projects, including developing project plans, tracking progress, and adjusting resources and timelines.
STATUS
Full-Time
Regular, Temporary, Per Diem
Regular
STANDARD HOURS PER WEEK
40
PAY RANGE
$93,537.60 - $149,656.00 Annual
OFFICE/SITE LOCATION
Boston
JOB POSTING CATEGORY
Research
REMOTE ELIGIBILITY
Part Remote/Hybrid
See all 4,340+ H-1B Visa Operations Technician Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Operations Technician Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an Operations Technician
Verify your role meets specialty occupation
Pull the Operations Technician profile from O*NET and confirm your job description requires a specific bachelor's degree, not just any degree. USCIS denies petitions when the role description is too generalist or the degree requirement isn't tied to a technical field.
Check employer LCA filings before applying
Use Migrate Mate to filter Operations Technician openings by employers with verified H-1B Labor Condition Application history. This tells you which companies have actually filed for this role, not just which ones say they're open to sponsorship.
Request wage level transparency from employers
Cross-check your offered wage against the OFLC Wage Search using the correct Standard Occupational Classification code for Operations Technician. Employers must certify they'll pay at least the prevailing wage on the LCA before USCIS will approve your petition.
Target E-Verify enrolled employers strategically
If you're transitioning from OPT or STEM OPT, your next employer must be E-Verify enrolled for cap-gap protection to apply. Confirm enrollment during the interview stage, not after you've accepted an offer.
Prepare credential documentation for technical roles
Have your transcripts evaluated by a NACES-accredited credential evaluator if your engineering or industrial technology degree is from outside the U.S. Operations Technician petitions with foreign credentials face higher RFE rates when degree equivalency isn't pre-documented.
Negotiate petition timing around the fiscal year cap
H-1B cap petitions open April 1 for an October 1 start date. If you receive an offer in late spring, confirm with the employer whether they'll file in the next cap season or pursue a cap-exempt route through a qualifying research or nonprofit facility.
H-1B Visa Operations Technician: Frequently Asked Questions
Does an Operations Technician role qualify for H-1B sponsorship?
It depends on how the role is defined. USCIS requires the position to qualify as a specialty occupation, meaning it must normally require at least a bachelor's degree in a specific technical field like engineering, industrial technology, or applied sciences. Roles framed around general technical skills without a specific degree requirement are more likely to receive a Request for Evidence or denial.
Which industries sponsor H-1B visas for Operations Technicians?
Manufacturing, utilities, oil and gas, semiconductor fabrication, and chemical processing are the most active sponsors for Operations Technician roles. These industries regularly file Labor Condition Applications with the DOL for technician-level positions tied to engineering degrees. You can browse employers with verified H-1B filing history for this role on Migrate Mate.
What happens to my H-1B status if my operations role is eliminated?
You have a 60-day grace period after your employment ends to find a new sponsoring employer, file a change of status, or prepare to depart the U.S. If a new employer files an H-1B transfer petition before the grace period expires, you can begin work once they receive the receipt notice. The clock starts from your last day of employment, not the date your employer notifies USCIS.
Can an Operations Technician petition be filed as cap-exempt?
Only if your employer qualifies as cap-exempt, meaning it's a higher education institution, a nonprofit affiliated with one, or a government research organization. Most manufacturing and industrial employers don't qualify. If your current employer is cap-subject and you're changing jobs, the new employer must file a cap-subject transfer petition, which doesn't require re-entering the lottery if you're already in valid H-1B status.
How does the prevailing wage requirement affect Operations Technician offers?
Before your employer can file an H-1B petition, they must obtain a certified Labor Condition Application from the DOL confirming they'll pay at least the prevailing wage for your role, job level, and work location. The wage is determined using DOL wage data and varies by geographic area and experience level. You can verify the applicable wage level for your specific location using the OFLC Wage Search before evaluating any offer.