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Dutech Systems Logo Dutech Systems · IT - Software Development

Senior Machine Learning Engineer (LLMs, MLOps, Computer Vision & Cloud AI)

United States, Austin · Job Posted June 09, 2026
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Job Description

We are seeking a highly skilled Senior Machine Learning Engineer to design, develop, deploy, and optimize AI/ML solutions in production environments. The ideal candidate will have strong experience with cloud platforms, large language models (LLMs), MLOps, computer vision, recommender systems, time-series forecasting, and scalable machine learning infrastructure. This role will work closely with data scientists, software engineers, DevOps teams, and business stakeholders to deliver innovative AI-powered solutions.

Job Responsibility

  • Design, develop, deploy, and maintain production-grade machine learning and AI solutions
  • Build and optimize Large Language Model (LLM) applications using GPT, BERT, T5, Hugging Face, Ollama, and similar technologies
  • Develop Retrieval-Augmented Generation (RAG) systems, prompt engineering strategies, and fine-tuning workflows
  • Implement and maintain MLOps pipelines using MLflow, Kubeflow, Airflow, Weights & Biases, or similar tools
  • Deploy and manage AI workloads across AWS, Azure, GCP, and OCI cloud environments
  • Design and support scalable infrastructure using Docker, Kubernetes, Ansible, and CI/CD pipelines
  • Develop machine learning models for forecasting, anomaly detection, predictive analytics, and real-time monitoring
  • Build recommendation engines, personalization platforms, ranking systems, and collaborative filtering solutions
  • Develop and deploy computer vision solutions using PyTorch, TensorFlow, OpenCV, YOLO, object detection, and image segmentation techniques
  • Implement feature engineering strategies and feature stores such as Feast or Tecton
  • Optimize model performance using quantization, pruning, knowledge distillation, and inference acceleration techniques
  • Support distributed model training across multi-GPU and multi-node environments
  • Design and manage SQL, NoSQL, and vector database solutions for AI applications
  • Automate infrastructure provisioning, deployments, monitoring, and operational support activities
  • Collaborate with cross-functional teams to identify AI opportunities and deliver business-focused solutions
  • Maintain AI governance, security, compliance, and operational best practices

Requirements

  • 8+ years of experience in cloud platforms including AWS, Azure, GCP, or OCI
  • 8+ years of experience with DevOps technologies including Docker, Kubernetes, Ansible, and CI/CD automation
  • Strong experience with SQL databases (PostgreSQL, MySQL) and NoSQL/vector databases
  • Proficiency in Bash and PowerShell scripting for automation and infrastructure management
  • Experience with Azure DevOps, GitHub Actions, Jenkins, or similar CI/CD platforms
  • 3+ years of hands-on Python development experience in production environments
  • 3+ years of experience with NLP, LLMs, transformers, prompt engineering, RAG, and AI application development
  • Experience building and deploying machine learning models serving real-world users
  • Experience with time-series forecasting, anomaly detection, and predictive analytics
  • Experience developing recommendation systems and personalization engines
  • Experience with distributed training, model optimization, and scalable AI infrastructure
  • Strong problem-solving, communication, and collaboration skills

Nice to have

  • Experience with GIS, geospatial analytics, and spatial data processing
  • Background in transportation, logistics, smart city, or infrastructure-focused solutions
  • Experience applying computer vision to infrastructure monitoring, vehicle analytics, or public sector use cases
  • Familiarity with public sector compliance, security, and governance standards
  • Experience with Unreal Engine, digital twin technologies, and simulation platforms
  • Experience with Google Maps, Cesium API, and geospatial visualization tools
  • Experience with Polygonflow Dash and related digital twin technologies
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