Engineering Jobs at Persistent Systems with Visa Sponsorship
Persistent Systems hires Engineers across software development, cloud infrastructure, and enterprise technology services, and actively sponsors work visas for qualified candidates. If you're targeting a technical role here, the company has a clear track record of supporting both initial visa filings and long-term immigration pathways.
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Job Description
About Persistent
We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.
Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PE Assessment 2025.
About Position:
This position serves as a data science team member in the Model Validation and Monitoring Team delivering leading edge machine learning models to our clients. This includes providing effective challenges to model development, conduct model monitoring and performance tracking, provide root cause analysis of model performance, exploring, building, validating, and deploying models.
- Role: Data Scientist - Model Validation and Monitoring
- Location: Scottsdale AZ
- Experience: 8+ Years
- Job Type: Contract
What You'll Do:
- Lead model monitoring activities, including tracking performance metrics, detecting model and data drift, identifying data quality issues, providing root cause analysis, and recommending remediation strategies.
- Conduct rigorous model validation by providing effective challenges during model development phases, including performance testing, benchmarking, provide remediation plan, and documentation to ensure models meet business, technical, and regulatory standards.
- Explore and aggregate data independently to uncover data anomalies that impact algorithm performance.
- Write production level code in a dynamic, start-up environment.
- Solve complex problems using terabyte size data sets.
- Apply a variety of machine learning techniques to a business problem to arrive at optimal approach.
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
- Explain and visualize results and algorithm performance to non-technical audiences.
Expertise You'll Bring:
- A minimum of 2 years of data science, engineering, mathematics, or related work experience is required.
- Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets with Spark language.
- Experience applying various machine learning techniques, and understanding the key parameters that affect model performance.
- Experience using ML libraries, such as scikit-learn, mllib, etc.
- Experience using data visualization tools.
- Able to write production level code, which is well-written and explainable.
- Ability to effectively communicate findings from complex analyses to non-technical audiences.
- Experience of using advanced ML algorithms building, testing, and deploying fraud models.
- Hands-on experience with PySpark.
- Industry experience in building or validating machine learning models.
- Experience exploring data and finding hidden patterns and data anomalies.
Benefits:
- Competitive salary and benefits package.
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications.
- Opportunity to work with cutting-edge technologies.
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.
- Annual health check-ups.
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents.
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.
Let's unleash your full potential at Persistent - persistent.com/careers
"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."
Skills Required
- PySpark
- Python
- Cloudera
Location
- Scottsdale, AZ, USA
Desirable Skills
- Other
- Spark
- Systems
- Performance
Years Of Exp
- 8 to 10 years
Job Code
- 171578

Job Description
About Persistent
We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.
Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PE Assessment 2025.
About Position:
This position serves as a data science team member in the Model Validation and Monitoring Team delivering leading edge machine learning models to our clients. This includes providing effective challenges to model development, conduct model monitoring and performance tracking, provide root cause analysis of model performance, exploring, building, validating, and deploying models.
- Role: Data Scientist - Model Validation and Monitoring
- Location: Scottsdale AZ
- Experience: 8+ Years
- Job Type: Contract
What You'll Do:
- Lead model monitoring activities, including tracking performance metrics, detecting model and data drift, identifying data quality issues, providing root cause analysis, and recommending remediation strategies.
- Conduct rigorous model validation by providing effective challenges during model development phases, including performance testing, benchmarking, provide remediation plan, and documentation to ensure models meet business, technical, and regulatory standards.
- Explore and aggregate data independently to uncover data anomalies that impact algorithm performance.
- Write production level code in a dynamic, start-up environment.
- Solve complex problems using terabyte size data sets.
- Apply a variety of machine learning techniques to a business problem to arrive at optimal approach.
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
- Explain and visualize results and algorithm performance to non-technical audiences.
Expertise You'll Bring:
- A minimum of 2 years of data science, engineering, mathematics, or related work experience is required.
- Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets with Spark language.
- Experience applying various machine learning techniques, and understanding the key parameters that affect model performance.
- Experience using ML libraries, such as scikit-learn, mllib, etc.
- Experience using data visualization tools.
- Able to write production level code, which is well-written and explainable.
- Ability to effectively communicate findings from complex analyses to non-technical audiences.
- Experience of using advanced ML algorithms building, testing, and deploying fraud models.
- Hands-on experience with PySpark.
- Industry experience in building or validating machine learning models.
- Experience exploring data and finding hidden patterns and data anomalies.
Benefits:
- Competitive salary and benefits package.
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications.
- Opportunity to work with cutting-edge technologies.
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.
- Annual health check-ups.
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents.
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.
Let's unleash your full potential at Persistent - persistent.com/careers
"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."
Skills Required
- PySpark
- Python
- Cloudera
Location
- Scottsdale, AZ, USA
Desirable Skills
- Other
- Spark
- Systems
- Performance
Years Of Exp
- 8 to 10 years
Job Code
- 171578
See all 61+ Engineering at Persistent Systems jobs
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Get Access To All JobsTips for Finding Engineering Jobs at Persistent Systems Jobs
Align your credentials to specialty occupation standards
Persistent Systems engineers typically work in defined technical domains like cloud, DevOps, or enterprise software. Make sure your degree field directly maps to the role's technical requirements, since USCIS scrutinizes specialty occupation eligibility closely for IT services firms.
Target roles with multi-year project pipelines
Persistent Systems runs long-term client engagements across banking, healthcare, and technology sectors. Applying for roles tied to these accounts improves your chances of a full H-1B filing, since employers are more likely to sponsor when the business need extends well beyond a single project.
Use Migrate Mate to filter open Engineering roles by sponsorship
Not every open Engineering position at Persistent Systems will include sponsorship details in the job posting. Use Migrate Mate to browse roles specifically verified for visa sponsorship, so you're applying where the pathway actually exists.
Confirm LCA filing timing before accepting an offer
Your employer must file a certified Labor Condition Application with DOL before USCIS can process your H-1B petition. Ask your recruiter at what stage in the hiring process Persistent Systems initiates the LCA, so you can plan around the 60-day cap-gap or status expiration windows.
Prepare for client-site work authorization documentation
Persistent Systems frequently places engineers at third-party client sites, which requires end-client letters confirming the specialty occupation role. Request clarity on whether your placement has an end-client support letter ready, since USCIS often issues RFEs on IT consulting petitions lacking this documentation.
Understand how EB-2 and EB-3 fit your long-term path
Persistent Systems sponsors both EB-2 and EB-3 Green Card categories for Engineering roles, with EB-3 typically used for positions requiring a bachelor's degree. If permanent residency matters to you, ask during the offer stage whether PERM labor certification is part of the company's standard sponsorship process.
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Find Engineering at Persistent Systems JobsFrequently Asked Questions
Does Persistent Systems sponsor H-1B visas for Engineers?
Yes, Persistent Systems sponsors H-1B visas for Engineering roles. The company is an established IT services employer with a consistent pattern of filing H-1B petitions for technical positions in software development, cloud, and enterprise systems. Because Persistent places engineers at client sites, your offer letter and end-client documentation both factor into the petition.
How do I apply for Engineering jobs at Persistent Systems?
You can apply through Persistent Systems' careers page or through Migrate Mate, which lists Engineering roles at Persistent Systems that are verified for visa sponsorship. Before applying, confirm the role aligns with your visa status timeline, particularly if you're approaching the end of OPT or within a cap-gap window.
Which visa types does Persistent Systems use for Engineering roles?
Persistent Systems sponsors H-1B visas for most Engineering hires requiring specialty occupation status. For longer-term employment, the company also files EB-2 and EB-3 immigrant visa petitions, and TN status is available for Canadian and Mexican nationals in qualifying engineering roles. The right category depends on your nationality, degree level, and the specific role.
What qualifications does Persistent Systems expect for sponsored Engineering roles?
Most sponsored Engineering roles at Persistent Systems require a bachelor's degree in computer science, engineering, or a directly related technical field. USCIS requires that the degree field specifically correlates to the job duties for an H-1B specialty occupation approval, so a general IT background without a field-specific degree can create petition risk. Relevant certifications in cloud platforms or enterprise software strengthen your profile.
How do I time my application around the H-1B cap and filing deadlines?
H-1B cap registrations open in March each year for an October 1 start date. If you're on OPT, you need a job offer in place early enough for Persistent Systems to register you before the March window closes. Cap-exempt roles, such as positions at qualifying research institutions, follow different rules, but standard Persistent Systems Engineering roles are cap-subject.
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