H-1B1 Singapore Visa AI ML Engineer Jobs
AI ML Engineer roles qualify for H-1B1 Singapore visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, machine learning, or a related field. No lottery, no USCIS petition filing, and the 5,400-visa annual cap leaves room year-round for Singaporean professionals with a confirmed U.S. job offer.
Find H-1B1 Singapore Visa AI ML Engineer JobsOverview
Showing 5 of 131+ AI ML Engineer jobs
See all 131+ AI ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer roles.
Get Access To All JobsJob Description
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. In this role, you'll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows. As an Applied AI ML Engineer Associate within the Consumer & Community Banking Machine Learning team, you will work with an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
- Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
- Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
- Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
- Promote software and model quality, integrity, and security across the organization
Required Qualifications, Capabilities, And Skills
- Undergraduate and master's degrees in Computer Science or similar, with training and work experience in LLM/NLP and search.
- Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
- Experience in machine learning frameworks, ML Ops tools and practices.
- Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
- Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
- Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
Preferred Qualifications, Capabilities, And Skills
- Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
About us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans
About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Job Description
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. In this role, you'll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows. As an Applied AI ML Engineer Associate within the Consumer & Community Banking Machine Learning team, you will work with an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
- Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
- Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
- Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
- Promote software and model quality, integrity, and security across the organization
Required Qualifications, Capabilities, And Skills
- Undergraduate and master's degrees in Computer Science or similar, with training and work experience in LLM/NLP and search.
- Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
- Experience in machine learning frameworks, ML Ops tools and practices.
- Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
- Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
- Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
Preferred Qualifications, Capabilities, And Skills
- Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
About us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans
About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
See all 131+ H-1B1 Singapore Visa AI ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa AI ML Engineer Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as an AI ML Engineer
Map your degree to SOC codes
AI ML Engineer roles map to multiple Standard Occupational Classification codes, and the one your employer uses on the Labor Condition Application affects prevailing wage levels. Cross-reference your specialisation against O*NET before your offer stage to avoid a wage mismatch later.
Target employers with LCA filing history
Search Migrate Mate to filter employers who have filed Labor Condition Applications for AI and ML roles. Employers with active LCA history understand the H-1B1 Singapore process and are less likely to stall at the offer stage over unfamiliar paperwork.
Verify your employer's E-Verify enrollment early
H-1B1 Singapore employers must be E-Verify participants. Confirm enrollment before you accept an offer, not after, because un-enrolled employers can't legally file your LCA through DOL and your consulate appointment can't proceed without a certified LCA.
Benchmark your offered salary against OFLC Wage Search
DOL sets four prevailing wage levels for each SOC code and work location. Run the OFLC Wage Search yourself using the job title and the employer's county to confirm your offer meets at least Level I before the LCA is filed.
Prepare evidence that your role requires specialised ML knowledge
Consular officers assess specialty occupation eligibility at your interview. Bring documentation showing the role requires a specific technical degree, such as the job description, any internal engineering role specifications, and your academic transcripts linking your coursework to the ML functions in the role.
Time your consulate appointment around LCA certification
DOL typically certifies LCAs within seven business days. Build that window into your start-date negotiation with the employer so you can schedule your Singapore consulate appointment immediately after certification, avoiding unnecessary delays between offer acceptance and your H-1B1 visa stamp.
Frequently Asked Questions
Does an AI ML Engineer role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. AI ML Engineer roles require at minimum a bachelor's degree in computer science, machine learning, electrical engineering, or a closely related field, which satisfies the specialty occupation standard under the U.S.-Singapore Free Trade Agreement. The employer must confirm that requirement in the Labor Condition Application filed with DOL before you attend your consulate interview in Singapore.
How does the H-1B1 Singapore visa compare to the H-1B for AI ML Engineer roles?
The H-1B1 Singapore visa has no lottery and no USCIS petition stage, so your employer files a Labor Condition Application with DOL and you apply directly at the U.S. Embassy in Singapore. The H-1B visa requires USCIS approval and subjects you to the annual lottery. For Singaporean nationals, the H-1B1 is a faster and more predictable path to starting an AI ML Engineer role in the U.S.
How can I find AI ML Engineer employers who will sponsor the H-1B1 Singapore visa?
Use Migrate Mate to search for employers with verified Labor Condition Application filing history for AI and ML roles. Employers who have filed LCAs before are already familiar with the H-1B1 Singapore process, which significantly reduces the risk that your offer falls through due to unfamiliarity with the visa type.
Can I start an AI ML Engineer role in the U.S. while my H-1B1 Singapore application is processing?
No. The H-1B1 Singapore visa is processed at the consulate, not through a USCIS change-of-status petition, so you must have your visa stamp in hand before beginning work in the U.S. Your employer's LCA must be certified by DOL and the DS-160 completed before you attend your Singapore embassy interview.
What happens if my AI ML Engineer role changes scope after I receive H-1B1 Singapore visa sponsorship?
If your job duties shift significantly, your employer may need to file an amended Labor Condition Application with DOL reflecting the updated role and prevailing wage. Changes to your job title, SOC code, or work location can each trigger a new LCA requirement. Confirm with your employer that any role changes are reviewed against your original LCA before they take effect.