Search
Go
This job is no longer accepting applications
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
Dutech Systems seeks a Senior Machine Learning Engineer to design, develop, deploy, and optimize AI/ML solutions in production environments. The role focuses on LLMs, MLOps, computer vision, and cloud platforms, collaborating with data scientists and DevOps teams.
Responsibilities
- Design, develop, deploy, and maintain production-grade ML/AI solutions.
- Build and optimize LLM applications using GPT, BERT, T5, Hugging Face, Ollama.
- Develop RAG systems, prompt engineering, and fine-tuning workflows.
- Implement MLOps pipelines with MLflow, Kubeflow, Airflow, Weights & Biases.
- Deploy AI workloads across AWS, Azure, GCP, OCI.
- Design scalable infrastructure with Docker, Kubernetes, Ansible, CI/CD.
- Develop models for forecasting, anomaly detection, recommendation systems, and computer vision.
- Optimize model performance via quantization, pruning, distillation.
- Support distributed training and manage SQL/NoSQL/vector databases.
- Automate infrastructure provisioning and maintain AI governance.
Requirements
- 8+ years experience in cloud platforms (AWS, Azure, GCP, OCI).
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.
