AI/ML Support Engineer

Hybrid in Baton Rouge, LA, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Google Vertex AI
  • Dialogflow
  • or Gemini
  • PyTorch
  • TensorFlow
  • JAX
  • or Ray
  • GPUs/TPUs and AI accelerators

Summary

Tittle : AI/ML Support Engineer Junior
Location: Baton Rouge, LA Hybrid, Onsite from Day One
Employment Type: Contract-to-Hire (CTH)
Work Authorization: / GC

Position Overview

We are seeking Junior AI/ML Support Engineers to join a high-priority team supporting AI/ML platforms and applications. The ideal candidate will have a strong foundation in Artificial Intelligence, Machine Learning, Generative AI, and Natural Language Processing, along with hands-on experience in troubleshooting, data pipelines, model deployment, and cloud technologies.

This role will focus on diagnosing and resolving AI/ML issues, supporting model deployments, optimizing performance, and providing technical support across modern AI/ML platforms.

Key Responsibilities

  • Troubleshoot, diagnose, and resolve complex AI/ML platform and application issues.
  • Support machine learning model development, deployment, and performance optimization.
  • Analyze model behavior, data pipelines, logs, and system performance to identify root causes.
  • Work with Generative AI, LLMs, and NLP technologies.
  • Support Google Cloud AI/ML services, including Vertex AI, Dialogflow, and Gemini.
  • Work with cloud environments such as Google Cloud Platform, AWS, and Azure.
  • Support containerized and virtualized environments and perform basic system administration.
  • Read and troubleshoot code written in Python, Java, C/C++, Go, JavaScript, Shell, or similar languages.
  • Work with ML frameworks such as TensorFlow, PyTorch, JAX, and Ray.
  • Troubleshoot environments involving GPUs, TPUs, transformers, encoders, decoders, and other modern ML architectures.
  • Follow established support methodologies, case lifecycles, escalation procedures, and documentation standards.
  • Collaborate with engineering, data science, cloud, and support teams to resolve production issues.

Required Qualifications

  • 2+ years of experience with machine learning model development and deployment.
  • 3+ years of experience troubleshooting, diagnosing, and resolving complex technical issues.
  • 2+ years of experience reading and troubleshooting code in a general-purpose programming language.
  • Strong understanding of AI/ML fundamentals, data analysis, and data pipelines.
  • Experience with cloud platforms, preferably Google Cloud Platform (Google Cloud Platform).
  • Experience with Generative AI, LLMs, or NLP.
  • Understanding of compute fundamentals, including virtualization, containerization, operating systems, and system administration.
  • Strong analytical and problem-solving skills.
  • Ability to work in a technical support environment and manage case lifecycles effectively.

Preferred Qualifications

  • Experience with Google Vertex AI, Dialogflow, or Gemini.
  • Experience with PyTorch, TensorFlow, JAX, or Ray.
  • Hands-on experience with GPTPUs and AI accelerators.
  • Knowledge of transformer-based models and modern AI/ML architectures.
  • Experience supporting production AI/ML environments.

Certifications

  • Required: Google Cloud Associate Cloud Engineer (ACE) Certification
  • Preferred: Google Machine Learning Engineer Certification

Additional Requirement

  • Must be willing to work hybrid from Baton Rouge, LA, with onsite presence from Day One.
  • Immediate availability is highly preferred due to the urgent hiring requirement.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: nm13509
  • Position Id: 9062494
  • Posted 1 day ago
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