Machine Learning Engineer Visa Sponsorship Jobs in New Jersey
Machine learning engineer visa sponsorship jobs in New Jersey are concentrated around the pharmaceutical corridor in Raritan and Parsippany, financial technology hubs in Jersey City, and telecom giants like Verizon in Basking Ridge. Companies such as Johnson & Johnson, Cognizant, and Prudential Financial regularly file H-1B visa petitions for ML engineering roles across the state.
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Get Access To All JobsAbout us: Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client’s business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence (“AI”) and machine learning (“ML”), we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 44,500+ strong, with more than 50 offices spanning six continents.
Overview: We are seeking a seasoned Big Data & ML Engineer with a strong background partnering with Data Science teams. In this role, you will handle large enterprise datasets, building robust pipelines and models that power data-driven decision-making.
Key Responsibilities
- Data Pipeline Engineering: Design, build, and maintain scalable data pipelines to process and transform large-scale enterprise datasets.
- ML Implementation: Collaborate closely with Data Scientists to operationalize basic ML models, ensuring they perform efficiently in a distributed computing environment.
- Big Data Management: Utilize Hive for data warehousing and management, ensuring high performance for complex analytical queries.
- Advanced Analytics: Write complex, optimized SQL and PySpark code to extract insights and prepare features for modeling.
- Performance Tuning: Optimize Spark jobs and SQL queries to handle enterprise scale data sets with minimal latency.
- Collaboration: Serve as the technical bridge between data engineering infrastructure and the data science lifecycle.
Required Skills & Qualifications
- Experience: 5–8 years of professional experience in Big Data Engineering or ML Engineering.
- PySpark Mastery: Expert-level proficiency in PySpark.
- SQL & Databases: Strong SQL skills for deep-dive analysis and extensive experience working with Hive databases.
- Python Programming: Advanced Python skills, specifically for data science libraries (Pandas, Scikit-learn, NumPy).
- ML Lifecycle: Previous experience working as an ML Engineer, including model deployment, monitoring, and feature engineering.
- Enterprise Scale: Proven track record of handling "messy" enterprise data at scale.
- Familiarity with CI/CD pipelines for ML (MLOps).
- Previous experience in Banking/Capital Markets/Financial Services is required.
Company Overview and Culture EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 50,000 strong, with more than 50 offices spanning six continents.
Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.
Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy.
Application & Interview Impersonation Warning – Purposely impersonating another individual when applying and / or participating in an interview in order to obtain employment with EXL Service Holdings, Inc. (the “Company”) for yourself or for the other individual is a crime. We have implemented measures to deter and to uncover such unlawful conduct. If the Company identifies such fraudulent conduct, it will result in, as applicable, the application being rejected, an offer (if made) being rescinded, or termination of employment as well as possible legal action against the impersonator(s).
EXL may use artificial intelligence to create insights on how your candidate information matches the requirements of the job for which you applied. While AI may be used in the recruiting process, all final decisions in the recruiting and hiring process will be taken by the recruiting and hiring teams after considering a candidate’s full profile. As a candidate, you can choose to opt out of this artificial intelligence screening process. Your decision to opt out will not negatively impact your opportunity for employment with EXL.
About us: Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client’s business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence (“AI”) and machine learning (“ML”), we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 44,500+ strong, with more than 50 offices spanning six continents.
Overview: We are seeking a seasoned Big Data & ML Engineer with a strong background partnering with Data Science teams. In this role, you will handle large enterprise datasets, building robust pipelines and models that power data-driven decision-making.
Key Responsibilities
- Data Pipeline Engineering: Design, build, and maintain scalable data pipelines to process and transform large-scale enterprise datasets.
- ML Implementation: Collaborate closely with Data Scientists to operationalize basic ML models, ensuring they perform efficiently in a distributed computing environment.
- Big Data Management: Utilize Hive for data warehousing and management, ensuring high performance for complex analytical queries.
- Advanced Analytics: Write complex, optimized SQL and PySpark code to extract insights and prepare features for modeling.
- Performance Tuning: Optimize Spark jobs and SQL queries to handle enterprise scale data sets with minimal latency.
- Collaboration: Serve as the technical bridge between data engineering infrastructure and the data science lifecycle.
Required Skills & Qualifications
- Experience: 5–8 years of professional experience in Big Data Engineering or ML Engineering.
- PySpark Mastery: Expert-level proficiency in PySpark.
- SQL & Databases: Strong SQL skills for deep-dive analysis and extensive experience working with Hive databases.
- Python Programming: Advanced Python skills, specifically for data science libraries (Pandas, Scikit-learn, NumPy).
- ML Lifecycle: Previous experience working as an ML Engineer, including model deployment, monitoring, and feature engineering.
- Enterprise Scale: Proven track record of handling "messy" enterprise data at scale.
- Familiarity with CI/CD pipelines for ML (MLOps).
- Previous experience in Banking/Capital Markets/Financial Services is required.
Company Overview and Culture EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 50,000 strong, with more than 50 offices spanning six continents.
Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.
Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy.
Application & Interview Impersonation Warning – Purposely impersonating another individual when applying and / or participating in an interview in order to obtain employment with EXL Service Holdings, Inc. (the “Company”) for yourself or for the other individual is a crime. We have implemented measures to deter and to uncover such unlawful conduct. If the Company identifies such fraudulent conduct, it will result in, as applicable, the application being rejected, an offer (if made) being rescinded, or termination of employment as well as possible legal action against the impersonator(s).
EXL may use artificial intelligence to create insights on how your candidate information matches the requirements of the job for which you applied. While AI may be used in the recruiting process, all final decisions in the recruiting and hiring process will be taken by the recruiting and hiring teams after considering a candidate’s full profile. As a candidate, you can choose to opt out of this artificial intelligence screening process. Your decision to opt out will not negatively impact your opportunity for employment with EXL.
Machine Learning Engineer Job Roles in New Jersey
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Search Machine Learning Engineer Jobs in New JerseyMachine Learning Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in New Jersey?
New Jersey's largest H-1B sponsors for machine learning engineers include Cognizant, Johnson & Johnson, Prudential Financial, Verizon, and Merck. Financial technology firms in Jersey City, including those concentrated near the Hudson waterfront, also file regularly. Pharmaceutical companies along the Route 1 corridor in New Brunswick and Princeton frequently sponsor ML engineers working on drug discovery and clinical data modeling.
Which visa types are most common for machine learning engineer roles in New Jersey?
The H-1B is the most common visa for machine learning engineers in New Jersey, given the role's clear specialty occupation classification requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already holding L-1B visas through multinational employers, particularly in the pharmaceutical and telecom sectors, also transfer into New Jersey-based ML roles. The O-1A is an option for engineers with published research or significant industry recognition.
Which cities in New Jersey have the most machine learning engineer sponsorship jobs?
Jersey City leads due to its financial services and tech density directly across from Manhattan. Parsippany, Basking Ridge, and Florham Park host major corporate headquarters with active ML hiring. Princeton and New Brunswick attract machine learning engineers through pharmaceutical research and proximity to Princeton University. Plainsboro and Raritan round out the pharmaceutical corridor, with companies like Novo Nordisk and Johnson & Johnson anchoring consistent sponsorship activity.
How to find machine learning engineer visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles, including machine learning engineer positions in New Jersey. You can filter by state and role to see employers with active H-1B sponsorship histories. Because New Jersey's ML market spans pharma, finance, and telecom, filtering by industry on Migrate Mate helps narrow results to sectors most aligned with your background and target employers.
Are there any New Jersey-specific considerations for machine learning engineers seeking visa sponsorship?
New Jersey sits within the New York City metropolitan prevailing wage zone for Department of Labor purposes, which means wage requirements for H-1B petitions reflect one of the higher-cost metropolitan benchmarks in the country. Employers in the pharmaceutical sector in particular tend to work with established immigration counsel and have structured sponsorship processes. Proximity to universities like Princeton, Rutgers, and NJIT also creates OPT-to-H-1B pipelines that some New Jersey employers are experienced navigating.
What is the prevailing wage for sponsored machine learning engineer jobs in New Jersey?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.