Job Description
We are seeking an AI/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.
Responsibilities
- 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.
Qualifications
Required Skills & Qualifications
- 3–5 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.
Nice-to-Have Skills
- 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).
Education
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or related fields.
BGV:
- Employment with WSP India is subject to the successful completion of a background verification (BGV) check conducted by a third-party agency appointed by WSP India.
- Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner.
About Us
WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come.
With approximately
4,000 talented people across 3 locations (Noida, Bengaluru & Mumbai offices) in India and more than
73,000 globally, in 550
offices across 40 countries, we engineer projects that will help societies grow for lifetimes to come.
At WSP we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Unified under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones:
Our People, Our Clients, Our Operational Excellence and Our Expertise.
www.wsp.com
We are
- Passionate people doing purposeful and sustainable work that helps shape our communities and the future.
- A collaborative team that thrives on challenges and unconventional thinking.
- A network of experts channeling our curiosity into creating solutions for complex issues.
Inspired by diversity, driven by inclusion, we work with passion and purpose.
Working with Us
At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.
Our Hybrid Working Module
With us, you can operate in a flexible, agile, yet structured work environment and follow a Hybrid Work Model.
- Maximize collaboration.
- Maintain product quality and cultural integrity.
- Balance community, collaboration, opportunity, productivity, and efficiency.
Health, Safety and Wellbeing
Our people are our greatest asset, and we prioritize a safe work environment. Health, safety, and wellbeing are integral to our culture, with each of us accountable for fostering a safe workplace through our Making Health and Safety Personal initiative. Our Zero Harm Vision drives us to reduce risks through innovative solutions, earning recognition for our global health and safety practices with the prestigious RoSPA Health and Safety Awards for six consecutive years.
Inclusivity and Diversity
WSP India is dedicated to fostering a sustainable and inclusive work environment where our greatest strength - Our People -feel valued, respected, and supported. We ensure an unbiased approach in hiring, promotion, and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background.
Imagine a better future for you and a better future for us all.
Join our close-knit community of over 73,300 talented global professionals dedicated to making a positive impact. Together, we can make a difference in communities both near and far.
With us, you can.
Apply today.
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. 
