AI​/ML Architect

Overview

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 PEAK Matrix® Assessment 2025.

We are seeking a skilled AI/ML Architect with hands-on experience in Databricks to join our team. The ideal candidate has strong analytical capabilities, experience building scalable data pipelines and machine learning models, and the ability to collaborate with cross-functional teams to drive data-driven decision-making.

This role involves working with large datasets, advanced analytics, and modern data engineering and ML frameworks—primarily using Databricks on Azure/AWS

Role:
AI/ML Architect with hands-on experience in Databricks

Hire Type:
Fulltime

Experience:
12+ years of experience

• Develop, train, and optimize machine learning and statistical models using Databricks, Python, PySpark, and MLflow.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights in large datasets.
• Deploy ML models into production using Databricks MLflow
  , Delta Live Tables, or other MLOps pipelines.
• Conduct A/B testing
  , forecasting, segmentation, anomaly detection, or recommendation systems as required by the business.
• Build scalable, high‑performance ETL/ELT pipelines using PySpark, SQL, and Databricks workflows.
• Work with Delta Lake to ensure high-quality, reliable, and performant data.
• Optimize cluster usage and job performance within the Databricks environment.
• Collaborate with data engineers to ensure high-quality data availability for modeling.

• Translate business problems into analytical solutions and present findings to non‑technical stakeholders.
• Partner with product, engineering, and business teams to drive data-informed decisions
  .
• Communicate complex statistical concepts in a clear and concise manner.

• Experience deploying models in production using MLOps frameworks
  .
• Knowledge of Azure Databricks or AWS Databricks environments.
• Understanding of CICD pipelines and Dev Ops concepts (Azure Dev Ops, Git Hub Actions, etc.)
• Familiarity with deep learning frameworks (Tensor Flow, PyTorch) is a plus

• 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
• 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