Senior AI/ML Software Developer

We are seeking a Senior AI/ML Software Developer for a hybrid position (2 days/wk in South Austin office) with deep expertise in AI/ML development to join our Austin client’s team. In this role, you will design, build, and deploy production-grade machine learning systems that serve real users on a scale. You will work across cloud platforms, contribute to MLOps infrastructure, and collaborate with cross-functional teams to deliver impactful AI-driven solutions.

CORE REQUIREMENTS

AI/ML SPECIALIZATIONS

Natural Language Processing & LLMs

•             Experience with transformer architectures (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications.

Time Series & Anomaly Detection

•             Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems.

Recommender Systems

•             Collaborative filtering, ranking models, personalization engines, or content recommendation pipelines.

Computer Vision

•             Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference.

MLOPS & INFRASTRUCTURE

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

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

•             CI/CD: Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience.

•             Feature Stores: Familiarity with Feast, Tecton, or advanced feature engineering practices.

•             Model Optimization: Quantization, pruning, and knowledge distillation for production efficiency.

•             LLM Models: Experience with Ollama, Hugging Face, or other open/non-frontier model frameworks.

Required Technical Skills

•             Python: 3–5+ years of production experience; Python 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, Google Cloud Platform, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform Vertex AI, OCI AI Services).

•             DevOps: Hands-on experience with Ansible, CI/CD pipelines, Docker, and Kubernetes.

•             Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL/vector databases.

•             Scripting: Proficient in both Bash and PowerShell for automation workflows.

Preferred Qualifications

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

•             Prior experience in 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