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.

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

• Forecasting models, anomaly detection, sequential data modeling, or real‑time monitoring systems.
• Collaborative filtering, ranking models, personalization engines, or content recommendation pipelines.

• Production CV experience with PyTorch/Tensor Flow, OpenCV, YOLO, object detection, segmentation, or real‑time inference.

• 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 Dev Ops, Git Hub 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.

• 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, GCP, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major providers (Azure AI, AWS Sage Maker/Bedrock, GCP Vertex AI, OCI AI Services).
• Dev Ops:
  Hands‑on experience with Ansible, CI/CD pipelines, Docker, and Kubernetes.
• Databases:
  Proficiency in SQL (PostgreSQL, MySQL) and No
  
  SQL/vector databases.
• Scripting:
  Proficient in both Bash and Power Shell for automation workflows.

• 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.