-
Persistent Systems

Machine Learning Engineer

Persistent Systems
United States · Full-time · Associate

About Persistent

We are a trusted 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 14 of the 30 most innovative US companies, 80% of the largest banks in 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 by reporting $282.9M revenue in Q1FY24, delivering 17.1% Y-o-Y growth. In addition, our total employee count reached 23,130 people this quarter, located in 21 countries across the globe. We’re also pleased to share that Persistent has been named the fastest-growing Indian IT Services brand by Brand Finance. Acknowledging our vertical industry expertise, we were placed as a Leader in Everest Group’s Payments IT Services PEAK Matrix® Assessment 2023. We were also recognized as a Leader in the ISG Provider Lens™ Digital Engineering Services Quadrants U.S. 2023 and the Salesforce Ecosystem Partners 2023 ISG Provider Lens™ Study. Throughout this market-leading growth, we’ve maintained strong employee satisfaction - over 94% of our employees approve of the CEO, and 89% would recommend working at Persistent to a friend.


About Position:

Role: Machine Learning Engineer

Location : Santa Clara County, California, United States

Work Type : Full time


Requirements:


  • Good foundation and practical experience in executing multiple ML Projects
  • Strong statistical background professionally or academically
  • Graded Certifications or a degree in Machine Learning is a must
  • Expertise with ML concepts like: Classification algorithms, regression, clustering and semi-supervised learning
  • Exposure to ML Explainability
  • Familiarity with Time Series concepts like AR, ARIMA, SARIMA, Exponential Smoothing, etc
  • Familiarity with Neural networks and time dependent neural networks like GRUs and LSTMs.
  • Proficiency in utilizing any of the public cloud providers for designing, building and deploying enterprise grade ML solutions.
  • 15+ years of total experience with minimum 7+ years of relevant experience

Good to have:

  • Hands on experience with MLOps
  • Creating end to end inferencing pipelines for monitoring concept drift and data drift
  • Experience with NLP or Gen AI
  • Recommender Systems


Benefits:

  • Competitive salary and benefits package.
  • Culture focused on talent development with quarterly promotion cycles 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.


Our company fosters a values-driven and people-centric work environment that enables our employees to:


  • Accelerate growth, both professionally and personally
  • Impact the world in powerful, positive ways, using the latest technologies
  • Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
  • Unlock global opportunities to work and learn with the industry’s best


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.”

Key Skills

Ranked by relevance

machine learning neural networks technical expertise salesforce cloud
Login to Apply
Posted
Mar 12, 2025
Type
Full-time
Level
Associate
Location
Santa Clara County

Industries

IT Services IT Consulting

Categories

Engineering

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Accenture DACH
Related

Senior Data & Machine Learning Engineer (all genders)

2026-05-21

Full-time
Not Applicable
Austria
IT Services
Engineering
View Job Details
LHV
Related

Product Engineer (Investment Platform)

2026-05-28

Full-time
Mid-Senior
Estonia
IT Services
Engineering
View Job Details
Amazon Web Services (AWS)
Related

Network Development Engineer, Network Core

2026-05-27

Full-time
Not Applicable
Australia
IT Services
Quality Assurance