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Aerocraftengineering

Computer Vision Engineer

Aerocraftengineering, Little Rock, Arkansas, United States

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Job description About Our Company:

Aerocraft Engineering India Pvt Ltd based in Ahmedabad, provides services to US-based Architecture, Engineering, and Construction groups of companies:

Russell and Dawson – An Architecture/Engineering/Construction firm (www.rdaep.com)

United-BIM – BIM Modeling Services Firm (www.united-bim.com)

AORBIS – Procurement as a Service Provider (www.aorbis.com)

We are a nimble and growing organization where everyone’s role is very important for the company’s business success. All team members’ contributions have a direct correlation with the company’s performance in meeting its business and financial objectives.

We're looking for an AI/ML Engineer to join our innovative team working at the intersection of computer vision, machine learning, and language models. If you’re passionate about building intelligent systems that extract insights from documents and unstructured data, we want to hear from you.

Job Location

Ahmedabad (Siddhivinayak Towers, Makarba)

Shift Timings

11pm to 8pm/ 1pm to 10pm (Shift may change as per business requirement)

Monday to Friday

Work from office

Key Responsibilities

Design and implement real-time computer vision algorithms and pipelines

Develop object detection, tracking, and recognition systems

Create 3D reconstruction solutions and depth estimation from 2D images/video

Build wireframe generation algorithms for structural analysis

Optimize algorithms for edge devices and cloud deployment

Integrate CV solutions with existing systems via APIs

✅ Requirements Must-Have (Minimum 3 years)

OpenCV (Python) - hands-on implementation experience

Object Detection: YOLO, Faster R-CNN, Mask R-CNN, SSD

Wireframe Detection: Edge detection, structural analysis, CAD generation from images

Programming & Frameworks

Languages : Python (expert)

Deep Learning : PyTorch or TensorFlow

Deployment : Docker, Linux, Git

GPU : CUDA (preferred)

Preferred Qualifications

Bachelor's/Master's in Computer Science, Engineering, or related field

Experience with real-time video processing

Knowledge of SLAM algorithms

MLOps and edge deployment experience

Domain experience in: Robotics, Autonomous vehicles, AR/VR, or Industrial inspection

Benefits

Exposure to US Projects/Design/Standards

Company provides Dinner/Snacks/Tea/Coffee

Reimbursable Health Insurance

15 paid leave annually + 8-10 Public Holidays

5 Days Working Week

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