AI / ML Engineer - Image Analytics

WSP • New York, NY

4h • $97,000 - $141,350

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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).

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees