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This listing was closed on Jul 18, 2026.
Browse Open JobsSenior Machine Learning Engineer (LLMs, MLOps, Computer Vision & Cloud AI)
Summary by AIEngineer.careers
Senior Machine Learning Engineer (LLMs, MLOps, Computer Vision & Cloud AI) is a Machine Learning Engineer role (full-time). with Dutech Systems. in AUSTIN, US. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
AUSTIN · US
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
Design, develop, deploy, and optimize AI/ML solutions in production environments, focusing on large language models, MLOps, computer vision, and cloud AI. Collaborate with cross-functional teams to deliver innovative AI-powered solutions and maintain scalable machine learning infrastructure.
Responsibilities
- Design, develop, deploy, and maintain production-grade machine learning and AI solutions.
- Build and optimize LLM applications using GPT, BERT, T5, Hugging Face, Ollama, and similar technologies.
- Develop RAG systems, prompt engineering strategies, and fine-tuning workflows.
- Implement MLOps pipelines using MLflow, Kubeflow, Airflow, Weights & Biases, or similar tools.
- Deploy and manage AI workloads across AWS, Azure, GCP, and OCI.
- Design and support scalable infrastructure using Docker, Kubernetes, Ansible, and CI/CD.
- Develop models for forecasting, anomaly detection, predictive analytics, and real-time monitoring.
- Build recommendation engines, personalization platforms, ranking systems, and collaborative filtering solutions.
- Develop computer vision solutions using PyTorch, TensorFlow, OpenCV, YOLO, and object detection.
- Implement feature engineering and feature stores such as Feast or Tecton.
Dutech Systems
Reading · US · 100+ employees
Dutech Systems is an IT consulting and staffing firm that delivers technology solutions including cloud computing, systems integration, and software development. It supports clients ranging from small businesses to large multinational organizations with customized technology services.
