Senior AI/ML Engineer (MLOps, Computer Vision & GIS)

Role:Senior AI/ML Engineer (MLOps & Computer Vision) / Lead MLOps Engineer

Duration: 1 Year (Extendable up to 3 Years)

City: Austin

State: Texas

Zip: 78701

Title: Senior AI/ML Engineer (MLOps, Computer Vision & GIS)

Total Required Experience in Years: 15 Years

Mode of Work: Hybrid (3 Days Onsite / 2 Days Remote)

Job Description

The Senior AI/ML Engineer (Lead MLOps Engineer) will support transportation engineering initiatives by transforming proof-of-concept AI solutions into scalable, production-grade enterprise applications. The consultant will design, deploy, automate, and optimize AI/ML platforms supporting plan review automation, roadway asset detection, digital delivery, geospatial intelligence, and infrastructure analytics.

The ideal candidate will possess deep expertise in MLOps, Computer Vision, LLM technologies, cloud-native AI platforms, and GIS-based analytics while driving enterprise-scale AI adoption across transportation and smart-city initiatives.

Key Responsibilities

AI/ML Platform Engineering

• Design and implement scalable AI/ML platforms across AWS, Azure, GCP, and OCI.
• Build production-ready machine learning pipelines and deployment frameworks.
• Operationalize AI proof-of-concepts into enterprise-grade applications.
• Develop reusable AI services supporting transportation engineering workflows.
  
  

MLOps & DevOps

• Design and maintain CI/CD pipelines for ML model deployment.
• Implement ML lifecycle management using:
• MLflow
• Kubeflow
• Airflow
• Weights & Biases
• Automate model training, testing, deployment, monitoring, and rollback processes.
• Implement Infrastructure as Code and automated deployment strategies.
  

Large Language Models & Generative AI

• Design and deploy:
• LLM applications
• RAG systems
• Agentic AI workflows
• Prompt Engineering frameworks
• Fine-tune transformer models including:
• GPT
• BERT
• T5
• Hugging Face models
• Develop enterprise knowledge retrieval and reasoning systems.
  

Computer Vision & Infrastructure Analytics

• Build Computer Vision solutions using:
• PyTorch
• TensorFlow
• OpenCV
• YOLO
• Develop object detection and image segmentation solutions.
• Support roadway asset detection and infrastructure monitoring applications.
• Optimize real-time inference systems.
  

GIS & Geospatial Analytics

• Design geospatial AI solutions using GIS platforms.
• Analyze spatial and transportation datasets.
• Integrate:
• Google Maps APIs
• Cesium APIs
• Digital Twin platforms
• Support location intelligence and smart-city initiatives.
  

Advanced Machine Learning

• Develop:
• Recommender Systems
• Time-Series Forecasting Models
• Anomaly Detection Systems
• Predictive Analytics Solutions
• Implement distributed training across multi-node and GPU environments.
• Optimize model performance using:
• Quantization
• Pruning
• Knowledge Distillation
  

Digital Twin & Simulation

• Support Digital Twin initiatives using:
• Unreal Engine
• Cesium
• Polygonflow Dash
• Integrate AI models with simulation environments.
• Develop infrastructure visualization and monitoring solutions.
  

Collaboration & Leadership

• Collaborate with engineers, architects, transportation experts, and stakeholders.
• Mentor junior AI engineers and MLOps teams.
• Participate in architecture reviews and solution design sessions.
• Ensure compliance with public-sector security and governance requirements.
  
  

Required Skills

• 15 years of IT experience.
• Strong expertise in:
• Machine Learning
• MLOps
• AI Engineering
• Cloud Architecture
• Multi-cloud AI experience:
• AWS SageMaker
• AWS Bedrock
• Azure AI Services
• Google Vertex AI
• OCI AI Services
• Experience with:
• Kubernetes
• Docker
• CI/CD
• Azure DevOps
• GitHub Actions
• Jenkins
• Advanced Python development experience.
• Strong SQL and NoSQL database expertise.
• Experience with vector databases and feature stores.
• Expertise in:
• MLflow
• Kubeflow
• Airflow
• Weights & Biases
• Production experience deploying AI/ML solutions serving real users.
  

Required Domain Experience

• Transportation
• Logistics
• Smart Cities
• Infrastructure Analytics
• Public Sector/Government Projects
  
  

Required Specialized Experience

• GIS and Geospatial Data Analysis.
• Computer Vision for infrastructure and vehicle analytics.
• LLMs and RAG systems.
• Digital Twin technologies.
• Spatial intelligence and mapping solutions.
  
  

Preferred Skills

• Unreal Engine.
• Google Maps API.
• Cesium API.
• Polygonflow Dash.
• Feature Stores (Feast, Tecton).
• Distributed GPU Training.
• Snowflake AI capabilities.
• Public-sector compliance and governance frameworks.
  
  

Qualifications

• Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
• Advanced AI/ML certifications preferred.
• Cloud certifications preferred:
• AWS
• Azure
• GCP
• OCI
  

Additional Information

• Location: Austin, TX
• Work Authorization: USC, GC, H4-EAD, H1B
• Interview: Hybrid / Possible Face-to-Face
• Local Candidates Only: Within 50 Miles of Austin
• Contract Term: 1 Year 2 Optional Annual Renewals
  
  

Experience Level: Senior / Lead

• Domain Experience Required: Transportation, Logistics, Smart Cities, or GIS-based Enterprise Systems