Senior AI/ML Engineer - Austin, TX Hybrid

Nexiva • Austin, TX

3d • Hybrid

About The Position

We are seeking a Senior Software Developer Specialist to design, develop, and deploy enterprise-scale Artificial Intelligence and Machine Learning solutions. This role will focus on transforming AI proof-of-concept initiatives into secure, scalable, and production-ready applications that support engineering, infrastructure, and digital transformation initiatives. The ideal candidate will possess strong expertise in AI/ML engineering, Large Language Models (LLMs), Computer Vision, MLOps, Cloud Platforms, and DevOps automation, with a proven track record of deploying machine learning solutions in production environments.

Requirements

• 8+ years of experience with cloud platforms including AWS, Azure, GCP, or OCI.
• 8+ years of experience with DevOps technologies including Docker, Kubernetes, Ansible, and CI/CD pipelines.
• 8+ years of experience with SQL and NoSQL databases.
• 8+ years of experience with Bash and PowerShell scripting.
• Experience with Azure DevOps, GitHub Actions, Jenkins, or similar automation tools.
• 3+ years of hands-on Python development experience in production environments.
• Experience developing and deploying machine learning models serving real-world users.
• Strong understanding of Large Language Models (GPT, BERT, T5, Hugging Face, Ollama).
• Experience with Prompt Engineering, Fine-Tuning, and Retrieval-Augmented Generation (RAG).
• Experience with Time Series Forecasting, Anomaly Detection, and Sequential Data Modeling.
• Experience building Recommender Systems and Personalization Engines.
• Experience with MLflow, Kubeflow, Airflow, Weights & Biases, or similar platforms.
• Experience with distributed training, multi-GPU environments, and scalable ML infrastructure.
• Experience with feature stores and advanced feature engineering techniques.
• Experience optimizing models through quantization, pruning, and knowledge distillation.
• Experience developing Computer Vision solutions using PyTorch, TensorFlow, OpenCV, and YOLO.
• Experience with object detection, segmentation, and real-time inference systems.

Nice To Haves

• Experience with GIS and geospatial data analysis.
• Transportation, logistics, smart city, or infrastructure domain experience.
• Experience with digital twin technologies and Unreal Engine.
• Familiarity with Cesium, Google Maps APIs, or geospatial visualization platforms.
• Experience working within government or public-sector environments.
• Knowledge of public-sector security, compliance, and governance standards.

Responsibilities

• Design and develop enterprise AI/ML applications and services.
• Build and deploy Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) systems, and Generative AI applications.
• Develop Computer Vision solutions for object detection, image segmentation, and automated analysis.
• Create scalable machine learning pipelines and automate model deployment using MLOps best practices.
• Implement cloud-native AI solutions across AWS, Azure, GCP, and OCI environments.
• Develop and maintain CI/CD pipelines for automated deployment and monitoring.
• Manage structured, unstructured, and vector-based data platforms.
• Optimize machine learning models for performance, scalability, and production readiness.
• Collaborate with cross-functional teams to deliver innovative AI-driven business solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed