716 Machine Learning Platform Engineer jobs in Dallas,TX

3-7 years of manual machining and CNC setup and operation utilizing conversational programming
Must have a high work ethic, be a team player and work with a since of urgency
Ability to read and comprehend complex machine and component drawings
Ability speak/read English and understand verbal instructions
Ability to analyze and solve problems
Detailed oriented, self-motivated, ability to work well with limited supervision
Ability to train others
Ability to work overtime and on weekends as needed for the position

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Store Attendant

GENDA Americas

Fort Worth, TX 76132

$12/hr

~ 44 min Onsite

Driver's License (Required)
Ability to Commute: Fort Worth, TX(Required)
Employment is contingent upon ... background checks and/or other pre-employment requirements

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Engineer/Sr Engineer, IT Software

American Airlines

Fort Worth, TX 76101

~ 44 min Onsite

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
3+ years of experience designing, developing, and implementing large-scale solutions in production environments
Proficiency with the following technologies:
Programming Languages: Java, Javascript/Typescript
Frameworks: Spring/SpringBoot, FastAPI
Front End Technologies: Angular/React
Deployment Technologies: Kubernetes, Docker
Source Control: GitHub, Azure DevOps
CICD: GitHub Actions, Azure DevOps
Data management: PostgreSQL, MongoDB, Redis
Integration/APIs Technologies: Kafka, REST, GraphQL
Cloud Providers such as Azure and AWS
Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq
Design and implement robust automation solutions using modern languages (Java, Python, C#, JavaScript/TypeScript) and frameworks such as Selenium, Playwright, TestNG, JUnit, and Cucumber
Build and maintain scalable test automation frameworks and integrate them seamlessly with CI/CD pipelines using GitHub Actions and Azure DevOps
Develop and execute API and integration tests leveraging technologies like REST, GraphQL, Kafka, SOAPUI, Postman, and service virtualization tools (WireMock, Mockito, Moq)
Perform performance and load testing using tools such as JMeter while ensuring system reliability, scalability, and resiliency
Manage automated test lifecycle including test design, execution, scheduling, maintenance, and detailed analysis of test results and logs using tools like Quality Center
Collaborate with cross-functional teams to gather requirements, validate designs, and ensure adherence to SDLC, Agile (Scrum), and DevOps best practices
Validate complex, distributed systems across cloud platforms (Azure, AWS) and containerized environments (Docker, Kubernetes)
Apply strong knowledge of data validation and backend testing using PostgreSQL, MongoDB, Redis, and ensure data integrity across systems
Optimize system quality and test strategy by applying quality engineering principles, metrics, and continuous improvement practices
Demonstrate strong communication, analytical, and organizational skills while managing multiple priorities, adapting to change, and driving high-quality deliverables across teams

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Software Engineer Mid-level (Java Full Stack)

USAA

Plano, TX 75023

Hybrid~ 27 minFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

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.

SmartExplore AI is experimental.