AI/ML Engineer

Hybrid in Austin, TX, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
Contract Independent
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • JavaScript
  • PyTorch
  • Python
  • Problem Solving
  • NumPy
  • Microsoft Azure
  • GitHub
  • Scripting
  • TensorFlow
  • Machine Learning (ML)
  • DevOps

Summary

Required Skills

Core (Must Have)

  • Python - Strong programming skills, comfortable writing clean code beyond notebooks
  • ML Fundamentals - Solid understanding of machine learning concepts through coursework or personal projects
    • Supervised/unsupervised learning
    • Model evaluation and validation
    • Basic understanding of neural networks
  • Data Manipulation - Experience with Pandas, NumPy, or similar libraries
  • Version Control - Git basics (commit, push, pull, branches)
  • Problem Solving - Can debug issues and search for solutions independently
  • Communication - Can explain technical concepts clearly

At Least One of These ML Areas

  • NLP/LLMs: Experience with transformers, text processing, or language models (even if just through projects)
  • Time Series: Forecasting, sequential data, or time-based analysis
  • Recommender Systems: Collaborative filtering or ranking (through projects/coursework)
  • Computer Vision: Image classification, object detection, or CNN projects
  • Classical ML: Strong foundation in scikit-learn, feature engineering, model selection

Working Style

  • Self-starter - You don't wait to be told what to do; you ask questions and take initiative
  • Fast learner - Comfortable picking up new tools and technologies quickly
  • CLI-comfortable - Not afraid of the terminal (we can teach you more advanced usage)
  • Curious - Genuinely interested in how things work under the hood
  • Collaborative - Can work with a team and ask for help when stuck

Nice to Have

  • Cloud Experience: Any exposure to AWS, Azure, Google Cloud Platform, or OCI
  • Docker/Containers: Basic understanding of containerization
  • SQL: Database querying experience
  • CI/CD: Familiarity with GitHub Actions, Azure DevOps, or Jenkins
  • MLOps Tools: Exposure to MLflow, Weights & Biases, or Airflow
  • Bash/PowerShell: Basic scripting skills
  • Deep Learning Frameworks: PyTorch or TensorFlow experience
  • Kaggle Competitions: Participated in ML competitions
  • Open Source: Contributions to projects or active GitHub profile
  • Additional Languages: Any experience with Go, Rust, or JavaScript
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: 10472679
  • Position Id: 9068157
  • Posted 1 hour ago
Contact the job poster
RB

Rajini Balakrishnan

Recruiter @ Xpedient Technologies, LLC
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