Lead AI Engineer (Computer Vision & Fusion)

Oslitandi Tech; Washington (District of Columbia); Hybrid; USD 190,000 - 230,000; Full time

Job summary

Oslitandi Tech LLC seeks a senior Lead AI Engineer (Computer Vision & Fusion) in Washington, DC to architect, train, and optimize DL models for multi-sensor fusion and edge deployment.

You will drive ML lifecycle, collaborate with data scientists, and ensure low-latency inference on resource-constrained hardware, with TS/SCI eligibility as a requirement.

Qualifications

• 7+ years of experience in ML, AI research, or applied data science.
• 3+ years in CV/Object Detection/Tracking or Multi-Sensor Fusion.
• Proficiency in Python and deep learning frameworks PyTorch or TensorFlow.
• Experience with YOLO, Faster R-CNN, and Kalman Filtering methods.
• Docker experience for reproducible environments.
• Master's or PhD in a quantitative field.
• Eligibility for TS/SCI clearance.

Responsibilities

• Architect, design, and train deep neural networks for multi-modal sensor inputs.
• Lead sensor fusion development with Kalman Filtering and particle filters.
• Optimize models for ultra-low-latency edge deployment (<10ms).
• Develop synthetic data tooling to address data sparsity for rare events.
• Oversee ML experimentation, QA, and MLOps integration.
• Provide technical leadership and mentorship to AI/ML squad.

Skills

Deep Learning Architecture

Sensor Fusion Expertise

Edge Compute Optimization

Synthetic Data Generation

ML Lifecycle Management

Technical Leadership

Education

Master's or PhD in Computer Science/AI/Mathematics

Tools

PyTorch

TensorFlow

Docker

Job description

Oslitandi Tech LLC Lead AI Engineer (Computer Vision & Fusion) Washington, DC·Full time Company website

This is a senior technical leadership role focused on creating the core AI capability for the division. The engineer will be responsible for architecting, training, and optimizing deep learning models (CNNs, Transformers) for object detection and classification. A primary function is developing advanced sensor fusion algorithms (Kalman Filters) to integrate and correlate multi-sensor data (radar, optical) into a cohesive, low-latency intelligence product for critical C2 operations, deployable on edge hardware.

About Oslitandi Tech LLC

Our company works with clients to achieve their tactical and strategic goals by unifying sustainable technology solutions which reduce costs, decrease cycle times, and seamlessly manage processes throughout the enterprise.

Oslitandi Tech specialty lies in integrating sustainable IT services & solutions, Management & IT Consulting, & Network/Cyber Security.

Description

Primary Responsibilities (Operational Duties)

• 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.

Basic Qualifications (Experience & Technical Stack)

• 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).
• Proficiency in containerization technologies, specifically Docker, for reproducible development and deployment environments.
• Experience with forensic data analysis, data labeling processes, and generating synthetic data for specialized training use cases.
• The candidate shall have a Master's or PhD in Computer Science, AI, Mathematics, or a related quantitative field.
• Must be eligible for a U.S. Government TS/SCI Clearance.