What are the responsibilities and job description for the AI / ML Engineer - Image Analytics position at WSP in the U.S.?
Job Description
This Opportunity
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.
This role may be based out of any of the following locations: New York, Washington DC, Denver, Seattle, Los Angeles, Chicago, Austin, or Dallas.
Your Impact
Image, Video & LiDAR Data Analytics
Required Qualifications
WSP provides a comprehensive suite of benefits focused on a providing health and financial stability throughout the employee’s career. These benefits include coverage related to medical, dental, vision, disability, and life; retirement savings; paid sick leave; paid vacation (or other personal time); paid parental leave; and paid time off for purposes of bereavement, voting, and/or attendance at naturalization proceedings.
Compensation:
Expected Salary (all locations): $97,000 - $141,350
WSP USA is providing the compensation range that the company in good faith believes it might pay and offer for this position, based on the successful applicant’s education, experience, knowledge, skills, abilities in addition to internal equity and specific geographic location. WSP USA reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, and/or federal law.
About WSP
ABOUT US
WSP USA is the U.S. operating company of WSP, one of the world's leading engineering and professional services firms. Dedicated to serving local communities, we are engineers, planners, technical experts, strategic advisors and construction management professionals. WSP USA designs lasting solutions in the buildings, transportation, energy, water and environment markets. With more than 15,000 employees in over 300 offices across the U.S., we partner with our clients to help communities prosper.
www.wsp.com
WSP provides a flexible and agile workplace model while meeting client needs. Employees are also afforded a comprehensive suite of benefits including medical, dental, vision, disability, life, and retirement savings focused on providing health and financial stability throughout the employee’s career.
At WSP, we want to give our employees the challenges they seek to grow their careers and knowledge base. Your daily contributions to your team will be essential in meeting client objectives, goals and challenges. Are you ready to get started?
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.
NOTICE TO THIRD PARTY AGENCIES:
WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.
This Opportunity
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.
This role may be based out of any of the following locations: New York, Washington DC, Denver, Seattle, Los Angeles, Chicago, Austin, or Dallas.
Your 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.
- 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.
- 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.
- 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.
- Work closely with product, engineering, and domain teams to translate requirements into technical solutions.
- Document workflows, architectures, and best practices.
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.
- 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).
- 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.
WSP provides a comprehensive suite of benefits focused on a providing health and financial stability throughout the employee’s career. These benefits include coverage related to medical, dental, vision, disability, and life; retirement savings; paid sick leave; paid vacation (or other personal time); paid parental leave; and paid time off for purposes of bereavement, voting, and/or attendance at naturalization proceedings.
Compensation:
Expected Salary (all locations): $97,000 - $141,350
WSP USA is providing the compensation range that the company in good faith believes it might pay and offer for this position, based on the successful applicant’s education, experience, knowledge, skills, abilities in addition to internal equity and specific geographic location. WSP USA reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, and/or federal law.
About WSP
ABOUT US
WSP USA is the U.S. operating company of WSP, one of the world's leading engineering and professional services firms. Dedicated to serving local communities, we are engineers, planners, technical experts, strategic advisors and construction management professionals. WSP USA designs lasting solutions in the buildings, transportation, energy, water and environment markets. With more than 15,000 employees in over 300 offices across the U.S., we partner with our clients to help communities prosper.
www.wsp.com
WSP provides a flexible and agile workplace model while meeting client needs. Employees are also afforded a comprehensive suite of benefits including medical, dental, vision, disability, life, and retirement savings focused on providing health and financial stability throughout the employee’s career.
At WSP, we want to give our employees the challenges they seek to grow their careers and knowledge base. Your daily contributions to your team will be essential in meeting client objectives, goals and challenges. Are you ready to get started?
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.
NOTICE TO THIRD PARTY AGENCIES:
WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.
Salary : $97,000 - $141,350