gusto

Lead AI Engineer (Computer Vision & Fusion)

Oslitandi Tech LLC

USA

Full-time

Senior · 7+ years experience

Onsite

USD 100-125 hourly / hour

Discovered 1 weeks ago

PythonPyTorchTensorFlowDockerYOLOFaster R-CNN

Free

Job Fit Check

Base Career helps you apply smarter for this job.

Ready to Scan

Key skills for this role

PythonPyTorchTensorFlow

Deep Learning Architecture: Architect, design, and train advanced deep neural networks (e.g., CNNs, Transformers, R-CNN variants) specifically optimized for object detection, classification, and tracking across multi-modal sensor inputs (e.g., High-resolution Optical, SAR, Radar).
Sensor Fusion Expertise: Lead the development and implementation of advanced sensor fusion algorithms, including extended and unscented Kalman Filtering and particle filters, to reliably correlate and maintain track continuity from disparate, asynchronous data sources (e.g., Radar + Electro-Optical/IR + ADS-B).
Optimization for Edge Compute: Conduct model optimization, pruning, and quantization techniques to achieve ultra-low-latency inference (sub-10ms) required for deployment on specialized, resource-constrained edge compute hardware .
Synthetic Data Generation: Work directly with forensic data scientists to conceptualize and develop tooling to generate high-fidelity synthetic training scenarios to effectively address data sparsity for rare, critical threat events.
Full ML Lifecycle Management: Oversee the model experimentation, versioning, quality assurance (QA), and transition process into the MLOps pipeline maintained by the DevSecOps team.
Technical Leadership: Manage multiple, concurrent AI research and development assignments, providing technical guidance, code review, and mentorship to junior engineers within the AI/ML Squad.

A minimum of 7+ years of progressive experience in Machine Learning, AI research, or applied data science.
At least 3+ years dedicated experience in the fields of Computer Vision, Object Detection/Tracking, or Multi-Sensor Fusion.
Expert-level proficiency in Python and deep learning frameworks: PyTorch (preferred) or TensorFlow .
Demonstrated practical experience utilizing specific detection methodologies (e.g., YOLO family, Faster R-CNN) and/or classical tracking methods (e.g., Kalman Filtering ).

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Trusted by over 500,000 job seekers on Base Career