Software Developer Specialist AI/ML

Hybrid in Austin, TX, US • Posted 9 hours ago • Updated 9 hours ago
Contract W2
Contract Independent
6 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Job Details

Skills

  • Cloud
  • Devops
  • Artificial Intelligence
  • Machine Learning
  • SQL
  • Bash
  • Powershell
  • Azure
  • Python
  • LLM
  • Geographic Information System
  • Geospatial Analysis
  • Machine Learning Operations (ML Ops)
  • Natural Language Processing

Summary

Title: Software Developer Specialist – AI/ML

Location: Austin, TX (Hybrid/Onsite)

Duration: 6 – 18 Months Contract

 

Qualifications

·        Cloud Platforms: Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform Vertex AI, OCI AI Services).

·        DevOps: Ansible, CI/CD, Docker and Kubernetes experience.

·        Databases: SQL (PostgreSQL, MySQL) and NoSQL/vector databases.

·        Scripting: Proficient in both Bash and PowerShell for automation.

·        CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines.

·        Python: 3-5+ years production experience, this is your primary language.

·        NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications.

·        Time Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems.

·        Recommender Systems: Collaborative filtering, ranking models, personalization engines, or content recommendations.

·        MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms.

·        Distributed Training: Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism.

·        Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference.

·        Feature stores (Feast, Tecton) or advanced feature engineering.

·        Model optimization: quantization, pruning, knowledge distillation.

·        LLM Models: Ollama, Huggingface, or other non-frontier models

·        AI/ML Production: Built and deployed 2-3+ ML models serving real users, not just experiments.

Preferred

·        Experience with Geospatial Information Systems (GIS) and analyzing spatial data.

·        Prior experience in the transportation, logistics, or smart city sectors.

·        Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data.

·        Familiarity with public sector data compliance, security, and governance standards.

·        Experience with the Unreal gaming engine and real world digital twinning

·        Experience with Google Maps Cesium API

·        Experience with Polygonflow Dash and its capabilities

 

 

Thanks & Regards
Rocky Thomas | M9 Consulting, Inc
Email:

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: 10410879
  • Position Id: 8989951
  • Posted 9 hours ago
Contact the job poster
RT

Rocky Thomas

Recruiter @ M9 Consulting
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