Lead AI/ML Developer

Cognizant

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Work type
On-site
Location
Houston, TX
Posted
12 days ago
Freshness
Confirmed live today

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Similar $216k
$140k $280k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $177,737–$253,812.

Based on 240 similar postings.

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About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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At a glance

TL;DR · Lead AI/ML Developer

As a Lead AI/ML Developer, you will join the data and analytics team to design, develop, deploy, and manage AI/ML, forecasting, predictive analytics, and Generative AI solutions. You will lead the AI/ML development squad, overseeing code reviews, technical mentoring, and solution design from prototype to production. Your daily work involves integrating ML outputs into the BI layer and ensuring security, governance, and responsible-AI compliance. You will utilize a technical stack including GCP Vertex AI, Gemini, Claude, Python, PySpark, TensorFlow, and PyTorch. Key responsibilities include building forecasting models like ARIMA and SARIMA, managing MLOps frameworks, and utilizing Azure DevOps for CI/CD pipeline automation. You will solve business problems by translating complex model outputs into decision-ready insights and scalable, production-ready analytics products.

What you'll do

  • Design, develop, deploy, and manage AI/ML, forecasting, and Generative AI solutions using GCP Vertex AI.
  • Lead the AI/ML development squad by conducting code reviews, ensuring delivery quality, and providing technical mentoring.
  • Own the end-to-end solution design for AI/ML use cases from initial prototype to production.
  • Partner with engagement leads on use-case discovery, project estimation, and roadmap planning.
  • Integrate ML outputs into the BI layer for business user consumption within existing reporting tools.
  • Ensure security, governance, and responsible-AI compliance across all delivered models.
  • Manage the full MLOps lifecycle including CI/CD pipeline automation and model monitoring.

What we're looking for

  • 10+ years of experience in data and analytics.
  • 5+ years of hands-on AI/ML development experience.
  • 2+ years of experience leading a developer pod.
  • Hands-on experience with GCP Vertex AI, Gemini, Claude, prompt engineering, and RAG.
  • Experience building forecasting, predictive analytics, classification, and regression models.
  • Strong programming skills in Python and PySpark, with experience in TensorFlow and PyTorch.
  • Experience with Azure DevOps, CI/CD pipeline automation, Artifact Registry, and MLOps.
  • Strong SQL and semantic modeling skills with experience in data quality and reconciliation.

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