1284 Python Ai Ml Software Engineer jobs in Dallas,TX

Fidelity Investments

Euless, TX 76039

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale.
Deep software engineering expertise in Python and distributed systems
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands‑on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt.

USAA

Plano, TX 75023

Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree OR Approved certification from CodeUp, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT).
4 years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s).
2 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews.
Basic Understanding of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python
Developing level of business acumen in the areas of business operations, risk management, industry practices and emerging trends.
Experience supporting efforts to address production issues through troubleshooting applications and systems.
Experience articulating technical challenges and solutions.
Basic understanding of cloud technologies and tools.

Fidelity Investments

Hurst, TX 76054

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale.
Deep software engineering expertise in Python and distributed systems
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands‑on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt.