Senior Software Developer Specialist

Hybrid in Austin, TX, US • Posted 4 hours ago • Updated 4 hours ago
Contract Independent
Contract W2
1 Year
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Analytics
  • Artificial Intelligence
  • Bash
  • Cloud Computing
  • Computer Science
  • Computer Vision
  • Continuous Delivery
  • Continuous Integration
  • Data Science
  • Database
  • DevOps
  • Docker
  • Forecasting
  • Geographic Information System
  • Geospatial Analysis
  • Git
  • Good Clinical Practice
  • Google Cloud Platform
  • Kubernetes
  • Machine Learning (ML)
  • Microsoft Azure
  • MySQL
  • NoSQL
  • OCI
  • Open Source
  • OpenCV
  • Python
  • PostgreSQL
  • Prompt Engineering
  • PyTorch
  • SQL
  • Scripting
  • Software Development
  • Software Engineering
  • TensorFlow
  • Time Series
  • Training
  • Vector Databases
  • Web Applications
  • Windows PowerShell
  • Workflow

Summary

Title:  Senior Software Developer Specialist (AI/ML Applications)
Location:  Austin, Texas
Work Type: Hybrid
Job Type: Contract
Required Qualifications:
  • Bachelor''s degree in Computer Science, Software Engineering, Data Science, or a related field.
  • 8+ years of software development experience, including 3+ years of production Python development.
  • Experience building and deploying web applications and APIs.
  • Experience with cloud platforms such as Azure, AWS, Google Cloud Platform, or OCI.
  • Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
  • Proficiency with SQL databases (PostgreSQL, MySQL) and NoSQL/vector databases.
  • Strong scripting skills using Bash and/or PowerShell.
  • Experience with Git-based development workflows and DevOps practices.
Preferred Qualifications:
  • Experience building LLM applications using transformers, RAG architectures, prompt engineering, or fine-tuning techniques.
  • Experience with AI/ML platforms and tools such as MLflow, Kubeflow, Airflow, or Weights & Biases.
  • Experience deploying machine learning models serving production users.
  • Experience with computer vision frameworks including PyTorch, TensorFlow, OpenCV, or YOLO.
  • Knowledge of distributed model training, feature stores, and advanced feature engineering.
  • Experience with open-source and self-hosted LLM platforms such as Ollama and Hugging Face.
  • Experience with time-series forecasting, anomaly detection, or recommender systems.
  • Experience working with GIS, geospatial data, and spatial analytics.
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: 10504512
  • Position Id: RITM1788244
  • Posted 4 hours ago
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