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 JobsRole description
We are looking for an AI / ML Engineer with strong software engineering fundamentals and hands-on experience building production-grade Python systems, scalable data pipelines, and machine learning solutions in cloud environments. The ideal candidate will have practical experience across the machine learning lifecycle including data preparation, feature engineering, model development, evaluation, deployment, support, monitoring, and documentation.
This role is well suited for an engineer who can work at the intersection of machine learning, data engineering, and cloud-based software development. The candidate should be comfortable developing ML-driven automation solutions, working with structured and semi-structured data, collaborating with cross-functional teams, and translating research or prototype ideas into reliable engineering solutions.
Key Responsibilities
- Design, develop, and maintain machine learning models and AI-driven systems using Python and modern ML libraries.
- Build and optimize data pipelines for heterogeneous data sources such as CSV, JSON, XML, and relational databases.
- Perform data preprocessing, feature engineering, exploratory data analysis, model training, validation, and performance evaluation.
- Develop ML solutions for use cases involving classification, forecasting, embeddings, NLP, computer vision, similarity search, and intelligent automation.
- Implement scalable ETL/ELT workflows using Python, Snowflake, and cloud services such as AWS S3, Lambda, and Glue.
- Support deployment-ready ML workflows including model monitoring, data quality checks, logging, error handling, and ingestion.
- Collaborate with data scientists, software engineers, product teams, and business stakeholders to understand requirements and deliver practical AI/ML solutions.
- Conduct experiments, compare model architectures, tune hyperparameters, analyze model performance, and document findings clearly.
- Develop reusable, maintainable, and well-tested code following software engineering best practices, Git workflows, and CI/CD standards.
- Stay current with advances in machine learning, deep learning, NLP, computer vision, embeddings, and cloud-based AI/ML platforms.
Required Skills and Experience
- 4 years of professional experience in software engineering, data engineering, machine learning engineering, or related technical roles.
- Strong programming experience in Python with working knowledge of SQL and familiarity with R or C as an added advantage.
- Hands-on experience with scientific Python and ML libraries such as NumPy, Pandas, Matplotlib, scikit-learn, SciPy, PyTorch, TensorFlow, HuggingFace, and Transformer-based models.
- Experience developing machine learning models using algorithms such as Random Forest, ensemble methods, deep learning models, NLP models, computer vision models, and embedding-based retrieval systems.
- Strong understanding of data preprocessing, feature engineering, model evaluation metrics, class imbalance handling, validation techniques, and statistical testing.
- Experience designing and maintaining scalable ETL/ELT pipelines and data workflows using Snowflake, AWS, and Python.
- Working knowledge of cloud services, especially AWS services such as S3, Lambda, Glue, and cloud-native data infrastructure.
- Experience with data quality monitoring, schema management, anomaly detection, logging, and pipeline reliability practices.
- Familiarity with Docker, CI/CD pipelines, Git-based collaboration, technical documentation, and production software development practices.
- Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
Preferred Good-to-Have Skills
- Experience with MLOps concepts such as model versioning, experiment tracking, model deployment, model monitoring, and automated retraining workflows.
- Experience with multimodal AI, image-text embeddings, semantic search, content-based retrieval, or vector similarity search.
- Hands-on experience with computer vision use cases including CNN-based classification, image feature extraction, and dataset quality analysis.
- Experience with NLP use cases including BERT, Transformer fine-tuning, speech or text classification, and emotion or intent detection.
- Exposure to large-scale datasets, data warehousing, star schema design, outlier detection, and analytics-ready data modeling.
- Research experience, publication experience, or demonstrated ability to convert research concepts into applied ML solutions.
- AWS certification or equivalent cloud certification.
- Experience building lightweight web applications or APIs for ML model serving such as Flask-based applications.
Education and Certifications
Bachelors or Masters degree in Computer Science, Data Analytics, Information Technology, Artificial Intelligence, Machine Learning, Statistics, or a related field.
Advanced academic background in Computer Science or Data Analytics.
Skills
Mandatory Skills: AI/ML Testing, GenAI - LLMOps, Generative AI/Open AI/Vector DB, Industrial AI - Machine Learning (ML), Python
Good to Have Skills: AI/ML Awareness Testing, AI_Implementation_Infrastructure - Vector Store DB, RAG, Apache Airflow, AWS Lambda, LangChain, MLOPS, MLOPS - Python, Vertex AI
Other details
Actual compensation within the range will be dependent upon the individual's skills, experience, performance, and internal equity.
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay, and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Benefits
Compensation range: $70,000.00 to $100,000.00 per year
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it.
Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
Role description
We are looking for an AI / ML Engineer with strong software engineering fundamentals and hands-on experience building production-grade Python systems, scalable data pipelines, and machine learning solutions in cloud environments. The ideal candidate will have practical experience across the machine learning lifecycle including data preparation, feature engineering, model development, evaluation, deployment, support, monitoring, and documentation.
This role is well suited for an engineer who can work at the intersection of machine learning, data engineering, and cloud-based software development. The candidate should be comfortable developing ML-driven automation solutions, working with structured and semi-structured data, collaborating with cross-functional teams, and translating research or prototype ideas into reliable engineering solutions.
Key Responsibilities
- Design, develop, and maintain machine learning models and AI-driven systems using Python and modern ML libraries.
- Build and optimize data pipelines for heterogeneous data sources such as CSV, JSON, XML, and relational databases.
- Perform data preprocessing, feature engineering, exploratory data analysis, model training, validation, and performance evaluation.
- Develop ML solutions for use cases involving classification, forecasting, embeddings, NLP, computer vision, similarity search, and intelligent automation.
- Implement scalable ETL/ELT workflows using Python, Snowflake, and cloud services such as AWS S3, Lambda, and Glue.
- Support deployment-ready ML workflows including model monitoring, data quality checks, logging, error handling, and ingestion.
- Collaborate with data scientists, software engineers, product teams, and business stakeholders to understand requirements and deliver practical AI/ML solutions.
- Conduct experiments, compare model architectures, tune hyperparameters, analyze model performance, and document findings clearly.
- Develop reusable, maintainable, and well-tested code following software engineering best practices, Git workflows, and CI/CD standards.
- Stay current with advances in machine learning, deep learning, NLP, computer vision, embeddings, and cloud-based AI/ML platforms.
Required Skills and Experience
- 4 years of professional experience in software engineering, data engineering, machine learning engineering, or related technical roles.
- Strong programming experience in Python with working knowledge of SQL and familiarity with R or C as an added advantage.
- Hands-on experience with scientific Python and ML libraries such as NumPy, Pandas, Matplotlib, scikit-learn, SciPy, PyTorch, TensorFlow, HuggingFace, and Transformer-based models.
- Experience developing machine learning models using algorithms such as Random Forest, ensemble methods, deep learning models, NLP models, computer vision models, and embedding-based retrieval systems.
- Strong understanding of data preprocessing, feature engineering, model evaluation metrics, class imbalance handling, validation techniques, and statistical testing.
- Experience designing and maintaining scalable ETL/ELT pipelines and data workflows using Snowflake, AWS, and Python.
- Working knowledge of cloud services, especially AWS services such as S3, Lambda, Glue, and cloud-native data infrastructure.
- Experience with data quality monitoring, schema management, anomaly detection, logging, and pipeline reliability practices.
- Familiarity with Docker, CI/CD pipelines, Git-based collaboration, technical documentation, and production software development practices.
- Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
Preferred Good-to-Have Skills
- Experience with MLOps concepts such as model versioning, experiment tracking, model deployment, model monitoring, and automated retraining workflows.
- Experience with multimodal AI, image-text embeddings, semantic search, content-based retrieval, or vector similarity search.
- Hands-on experience with computer vision use cases including CNN-based classification, image feature extraction, and dataset quality analysis.
- Experience with NLP use cases including BERT, Transformer fine-tuning, speech or text classification, and emotion or intent detection.
- Exposure to large-scale datasets, data warehousing, star schema design, outlier detection, and analytics-ready data modeling.
- Research experience, publication experience, or demonstrated ability to convert research concepts into applied ML solutions.
- AWS certification or equivalent cloud certification.
- Experience building lightweight web applications or APIs for ML model serving such as Flask-based applications.
Education and Certifications
Bachelors or Masters degree in Computer Science, Data Analytics, Information Technology, Artificial Intelligence, Machine Learning, Statistics, or a related field.
Advanced academic background in Computer Science or Data Analytics.
Skills
Mandatory Skills: AI/ML Testing, GenAI - LLMOps, Generative AI/Open AI/Vector DB, Industrial AI - Machine Learning (ML), Python
Good to Have Skills: AI/ML Awareness Testing, AI_Implementation_Infrastructure - Vector Store DB, RAG, Apache Airflow, AWS Lambda, LangChain, MLOPS, MLOPS - Python, Vertex AI
Other details
Actual compensation within the range will be dependent upon the individual's skills, experience, performance, and internal equity.
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay, and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Benefits
Compensation range: $70,000.00 to $100,000.00 per year
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it.
Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
Machine Learning Engineer Job Roles in New Jersey
See all 47+ Machine Learning Engineer Jobs 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.