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AI/ML Support Engineer
Key Infotek LLCBaton Rouge, LA🇺🇸United StatesPosted 17 Aug 2026
Quick Overview
Work Type
On Site
Level
Mid Senior
Job Description
AI/ML Support Engineer (Junior candidates) Super urgent role
CTH at Baton Rouge, LA (Hybrid) Onsite from day one
Rate :: DOE
Technical Skills:
Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.
Cloud Technologies: Experience with cloud platforms like Google Cloud Platform, AWS, and Azure, including their AI/ML services.
Generative AI Experience with LLM and Generative AI and Google Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini)
ML Development: Experience with Machine Learning model development and deployment.
AIML Frameworks: Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.
Experience:
Troubleshooting Code Experience: 2 years of experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design.
AIML Experience: +2 Experience with Machine Learning model development and deployment.
Troubleshooting Experience: 3+ years of experience in troubleshooting, diagnosing, and resolving complex issues.
Support Experience: Familiarity with support methodologies, case lifecycles, and analytical skills for breaking down issues.
Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.
Cloud Technologies: Experience with cloud platforms like Google Cloud Platform, AWS, and Azure, including their AI/ML services.
Generative AI Experience with LLM and Generative AI and Google Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini)
ML Development: Experience with Machine Learning model development and deployment.
AIML Frameworks: Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.
Experience:
Troubleshooting Code Experience: 2 years of experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design.
AIML Experience: +2 Experience with Machine Learning model development and deployment.
Troubleshooting Experience: 3+ years of experience in troubleshooting, diagnosing, and resolving complex issues.
Support Experience: Familiarity with support methodologies, case lifecycles, and analytical skills for breaking down issues.
Skills
Shell
AWS
Machine Learning
Azure
Deep Learning
C++
Generative AI
Google Cloud
Java
JavaScript
LLM
PyTorch
Python
TensorFlow
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