Overview
We are seeking an Artificial Intelligence (AI)/Machine Learning (ML) Engineer with hands-on experience in image, video, and LiDAR data processing to build advanced analytics and machine learning solutions. The ideal candidate will have strong expertise in computer vision, deep learning, and Python-based model development, with experience deploying solutions on the Azure AI/ML stack. Experience with front-end development using React is a strong plus.
Locations: New York, Washington DC, Denver, Seattle, Los Angeles, Chicago, Austin, or Dallas.
Impact
Image, Video & LiDAR Data Analytics
- Develop and optimize computer vision models for image classification, object detection, segmentation, OCR, and anomaly detection.
- Build pipelines for processing large-scale video streams (real-time or batch).
- Work with LiDAR point-cloud data for feature extraction, 3D object detection, scene reconstruction, and spatial analytics.
- Implement preprocessing, augmentation, and feature engineering workflows for multimodal datasets.
Machine Learning & Deep Learning Development
- Design, train, evaluate, and deploy deep learning models using frameworks such as PyTorch, TensorFlow, OpenCV, MMDetection, Detectron2, etc.
- Apply techniques like transfer learning, fine-tuning, and model optimization (quantization, pruning).
- Maintain reproducible experimentation using MLflow, notebooks, and versioning best practices.
Azure Cloud & MLOps
- Build and deploy models on Azure Machine Learning, Azure Databricks, and Azure Cognitive Services.
- Develop scalable data pipelines using Azure Data Lake, Azure Functions, Azure Storage, Event Hubs, etc.
- Implement CI/CD workflows, containerization (Docker), and model deployment using AKS, ACI, or serverless options.
Software & API Development
- Build Python-based microservices for model inference and data processing.
- Develop REST APIs to integrate machine learning models into downstream applications.
- (Nice to have) Build lightweight front-end dashboards using React for visualization of image/video results.
Cross-functional Collaboration
- Work closely with product, engineering, and domain teams to translate requirements into technical solutions.
- Document workflows, architectures, and best practices.
Who You Are
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or related fields.
- 5 - 7 years of hands‑on experience in AI/ML engineering with focus on computer vision.
- Strong proficiency in Python and popular ML/CV libraries: PyTorch, TensorFlow, OpenCV, scikit‑learn, NumPy, pandas, Image/video processing libraries (Pillow, FFmpeg, Open3D, PCL).
- Experience with LiDAR/point‑cloud processing (Open3D, PDAL, PyTorch3D or similar).
- Experience with Azure AI/ML stack (Azure ML, Data Lake, Functions, DevOps).
- Solid understanding of deep learning architectures (CNNs, transformers for vision, 3D models).
- Experience in model evaluation, benchmarking, and optimization.
- Strong problem‑solving skills, ability to work with noisy/unstructured multimodal data.
- Travel up to 15% of the time.
Preferred Qualifications
- Experience with React.js for building simple visualization dashboards.
- Experience with multimodal AI (image + text, video + sensor data).
- Exposure to edge deployments (NVIDIA Jetson, ONNX Runtime, TensorRT).
- Familiarity with MLOps tools (DVC, MLflow, Kubeflow).
Benefits & Compensation
- Opportunity to work on cutting‑edge AI/ML solutions in image, video, and 3D analytics.
- Collaborative environment with strong learning and growth support.
- Exposure to enterprise‑scale Azure AI projects.
Compensation:
Expected Salary (all locations): $97,000 - $141,350
WSP USA (and all of its U.S. companies) is an Equal Opportunity Employer Race/Age/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disability or Protected Veteran Status.
The selected candidate must be authorized to work in the United States.