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Support Engineer

Collabera LLCBaton Rouge, LA🇺🇸United StatesPosted Oct 5, 2026

Why This Role Stands Out

This hybrid AI/ML Support Engineer role offers a competitive hourly rate and the chance to work with cutting-edge generative AI technologies, fostering significant skill development. You'll thrive here if you have a strong foundation in AI/ML, cloud platforms, and troubleshooting complex technical issues, making this an excellent opportunity to advance your career.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Baton Rouge, LA, United States
Posted
19 hours ago
ShellAWSMachine LearningAzureDeep LearningC++Generative AIJavaJavaScriptPyTorchPythonTensorFlow

Job Description

Title - AI/ML Support Engineer


Location - Baton Rouge, Louisiana


Duration - Two-month contract-to-hire


Summary-



  • We are looking for an experience AI/ML Support Engineer, empowering teams to effectively identify and recruit qualified candidates. Ideal candidates should possess a strong foundation in AI/ML, machine learning, and natural language processing, with a specific emphasis on data analysis, data pipelines, and model deployment. They should be capable of troubleshooting model-related issues, optimizing model performance, and providing expert support for various AI/ML platforms.


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 AWS, and Azure, including their AI/ML services.

  • Generative AI: Experience with LLMs and Generative AI and 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.


Must Have-



  • 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.

  • AI/ML 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.


Certifications-



  • G Machine Learning Engineer certification is desired.

  • G Cloud Associate Cloud Engineer (ACE) certification is required.


The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually as applicable.

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