Senior AI/ML Software Developer

eStaff LLC; Austin (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

eStaff LLC is seeking a Senior AI/ML Software Developer for a hybrid position in Austin. You will design, build, and deploy production-grade machine learning systems, working with advanced models and collaborating with cross-functional teams.

The ideal candidate will have deep expertise in AI/ML development, experience with cloud platforms, and will contribute to MLOps infrastructure, making an impact through AI-driven solutions.

Qualifications

• 3–5+ years of production experience with Python as the primary language.
• Experience deploying ML models to serve real users, not just experiments.
• Experience with AWS, Azure, GCP for ML workloads.

Responsibilities

• Design, build, and deploy production‑grade machine learning systems.
• Collaborate with cross‑functional teams to deliver AI‑driven solutions.
• Contribute to MLOps infrastructure.

Skills

Natural Language Processing & LLMs

Time Series & Anomaly Detection

Computer Vision

MLOps Tools

Python

Cloud Platforms

DevOps

Databases

Scripting

Tools

MLflow

Weights & Biases

Kubeflow

Airflow

AWS

Azure

GCP

OCI

Docker

Kubernetes

Job description

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.
• 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, GCP, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major providers (Azure AI, AWS SageMaker/Bedrock, GCP 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.