AI/ML ENGINEER
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Renu Dinari
Dec 3, 2025, 5:20:25 PM (3 days ago) Dec 3
to
AI/ML ENGINEER
Client: State of TX
Location: Austin, (LOCAL TO TX, Hybrid)
Experience: 10 to 18 Years
Qualifications:
What You'll Build
• AI/ML systems from the ground up - you'll own projects from conception to production
• Scalable ML pipelines and data workflows
• Production-grade models serving real users at scale
• MLOps infrastructure for training, deployment, and monitoring
• Internal tooling that makes the team more efficient
• Work primarily in the terminal - if you're comfortable in vim/neovim and live in the CLI, you'll fit right in
Required Skills
Core Technical (Non-Negotiable)
• Python - 3-5+ years production experience, this is your primary language
• AI/ML Production - Built and deployed 2-3+ ML models serving real users, not just experiments
• Cloud Platforms - Experience with AWS, Azure, GCP, or OCI for deploying and managing ML
workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS
SageMaker/Bedrock, GCP Vertex AI, OCI AI Services)
• DevOps - Docker and Kubernetes experience
• Databases - SQL (PostgreSQL, MySQL) and NoSQL/vector databases
• Scripting - Proficient in both Bash and PowerShell for automation
ML Domains (Must have strong experience in at least 2-3 of these)
• 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
Working Style (Critical)
• CLI-first developer - you're comfortable (and prefer) working in the terminal
• Fast thinker - you can rapidly assess problems, prototype solutions, and iterate
• Problem solver - you don't need the answer handed to you; you figure it out
• Greenfield-ready - you're energized by building new things, not just maintaining existing systems• Self-directed - you can take ambiguous requirements and turn them into working solutions
Nice to Have
• CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines
• Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, object detection,
segmentation, or real-time inference
• Additional Languages: Go or Rust experience for performance-critical components
• Feature stores (Feast, Tecton) or advanced feature engineering
• Model optimization: quantization, pruning, knowledge distillation
• Edge deployment or resource-constrained model deployment
• Experiment frameworks for A/B testing ML models
• Contributions to open-source ML projects
• Real-time streaming data processing (Kafka, Kinesis)
Client: State of TX
Location: Austin, (LOCAL TO TX, Hybrid)
Experience: 10 to 18 Years
Qualifications:
What You'll Build
• AI/ML systems from the ground up - you'll own projects from conception to production
• Scalable ML pipelines and data workflows
• Production-grade models serving real users at scale
• MLOps infrastructure for training, deployment, and monitoring
• Internal tooling that makes the team more efficient
• Work primarily in the terminal - if you're comfortable in vim/neovim and live in the CLI, you'll fit right in
Required Skills
Core Technical (Non-Negotiable)
• Python - 3-5+ years production experience, this is your primary language
• AI/ML Production - Built and deployed 2-3+ ML models serving real users, not just experiments
• Cloud Platforms - Experience with AWS, Azure, GCP, or OCI for deploying and managing ML
workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS
SageMaker/Bedrock, GCP Vertex AI, OCI AI Services)
• DevOps - Docker and Kubernetes experience
• Databases - SQL (PostgreSQL, MySQL) and NoSQL/vector databases
• Scripting - Proficient in both Bash and PowerShell for automation
ML Domains (Must have strong experience in at least 2-3 of these)
• 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
Working Style (Critical)
• CLI-first developer - you're comfortable (and prefer) working in the terminal
• Fast thinker - you can rapidly assess problems, prototype solutions, and iterate
• Problem solver - you don't need the answer handed to you; you figure it out
• Greenfield-ready - you're energized by building new things, not just maintaining existing systems• Self-directed - you can take ambiguous requirements and turn them into working solutions
Nice to Have
• CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines
• Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, object detection,
segmentation, or real-time inference
• Additional Languages: Go or Rust experience for performance-critical components
• Feature stores (Feast, Tecton) or advanced feature engineering
• Model optimization: quantization, pruning, knowledge distillation
• Edge deployment or resource-constrained model deployment
• Experiment frameworks for A/B testing ML models
• Contributions to open-source ML projects
• Real-time streaming data processing (Kafka, Kinesis)
Sujay Dinari
Dec 4, 2025, 11:23:12 AM (3 days ago) Dec 4
to
AI/ML ENGINEER
Client: State of TX
Location: Austin, (LOCAL TO TX, Hybrid)
Client: State of TX
Location: Austin, (LOCAL TO TX, Hybrid)
Experience: 12 to 18 Years
Visa : USC And GC
Visa : USC And GC
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