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Entry-Level AI Solutions Engineer - Build Real-World ML

  • Job type Posted on: Jul 22, 2026
  • Experience level Texas Instruments
  • Employment type Dallas, Texas
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Entry-Level AI Solutions Engineer - Build Real-World ML

Job Type :

Full-time

Job Location :

Dallas Texas United States

Remote :

No

Jobcon Logo Job Description :

Overview Change the world. Love your job. In your first year with TI you’ll join the Career Accelerator Program (CAP) – a fast‑track development experience that blends professional-skill workshops, technical training and on‑the‑job learning so you can start delivering real‑world impact from day1. Responsibilities Design and build AI-enabled solutions for discriminative and generative applications using a combination of classical and neural network (MLPs, RNNs, CNNs, GNNs, transformers) based machine learning algorithms. Put together efficient data pipelines, develop agents using the latest LLMs or train new networks from scratch, test with rigor and monitor deployments for accuracy and drift. Collaborate with partners across TI to address a wide variety of applications including design (software, digital, analog), manufacturing (process development, fabrication, testing), sales (pricing, recommendations), planning, and general productivity. Deliver robust, scalable, performant, and secure solutions. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 22, 2026

Reference Number:

14660_94E42478F4D68E1280292793A94C8782

Employment:

Full-time

Salary:

Not Available

City:

Dallas

Job Origin:

APPCAST_CPC

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Overview Change the world. Love your job. In your first year with TI you’ll join the Career Accelerator Program (CAP) – a fast‑track development experience that blends professional-skill workshops, technical training and on‑the‑job learning so you can start delivering real‑world impact from day1. Responsibilities Design and build AI-enabled solutions for discriminative and generative applications using a combination of classical and neural network (MLPs, RNNs, CNNs, GNNs, transformers) based machine learning algorithms. Put together efficient data pipelines, develop agents using the latest LLMs or train new networks from scratch, test with rigor and monitor deployments for accuracy and drift. Collaborate with partners across TI to address a wide variety of applications including design (software, digital, analog), manufacturing (process development, fabrication, testing), sales (pricing, recommendations), planning, and general productivity. Deliver robust, scalable, performant, and secure solutions. #J-18808-Ljbffr

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