Persistent Systems · 1 day ago
AI/ML Architect
LA Metro Area
Full-time
Hybrid
Senior Level, Lead/Staff
12+ years expPersistent Systems is an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner. They are seeking a skilled AI/ML Architect with hands-on experience in Databricks to develop, train, and optimize machine learning models while collaborating with cross-functional teams to drive data-driven decision-making.
AnalyticsBig DataCloud ComputingEmbedded SystemsProduct DesignSecuritySoftware
Hiring Manager
Shafak Pathan
Responsibilities
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
Qualification
Required
12+ years of experience
Hands-on experience in Databricks
Strong analytical capabilities
Experience building scalable data pipelines and machine learning models
Ability to collaborate with cross‑functional teams to drive data‑driven decision‑making
Experience developing, training, and optimizing machine learning and statistical models using Databricks, Python, PySpark, and MLflow
Experience performing exploratory data analysis (EDA) to identify trends, patterns, and insights in large datasets
Experience deploying ML models into production using Databricks MLflow, Delta Live Tables, or other MLOps pipelines
Experience conducting A/B testing, forecasting, segmentation, anomaly detection, or recommendation systems as required by the business
Experience building scalable, high‑performance ETL/ELT pipelines using PySpark, SQL, and Databricks workflows
Experience working with Delta Lake to ensure high-quality, reliable, and performant data
Experience optimizing cluster usage and job performance within the Databricks environment
Experience collaborating with data engineers to ensure high-quality data availability for modeling
Ability to translate business problems into analytical solutions and present findings to non‑technical stakeholders
Ability to partner with product, engineering, and business teams to drive data-informed decisions
Ability to 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 DevOps concepts (Azure DevOps, GitHub Actions, etc.)
Preferred
Familiarity with deep learning frameworks (TensorFlow, PyTorch) is a plus
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
Company
Persistent Systems
Persistent Systems offers software product concept and design, performance engineering, quality assurance, and other professional services.
10001+ employees
H1B Sponsorship
Persistent Systems has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (519)
2024 (840)
2023 (475)
2022 (308)
2021 (285)
2020 (397)
Funding
Current Stage
Public CompanyTotal Funding
$18.8M2010-04-06IPO
2005-12-09Series A· $18.8M
Leadership Team
Sandeep Kalra
CEO & Executive Director
Rajiv Korpal
SVP, Microsoft Business Unit
Recent News
2026-01-22
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