Lead AI/ML Engineer ? Computer Vision

Position Overview

We are seeking an experienced and hands-on Lead AI/ML Engineer to lead our AI Research Development team. This role combines technical leadership, advanced machine learning research, and end-to-end product development.

The ideal candidate is someone who enjoys solving challenging real-world problems, building scalable AI systems, mentoring engineers, and rapidly turning research ideas into production-ready solutions.

While experience with geospatial and remote sensing data is highly desirable, it is not mandatory. Strong candidates from broader computer vision, machine learning, or AI backgrounds are encouraged to apply. Experience with satellite imagery, GIS, SAR, LiDAR, or geospatial analytics will be considered a significant advantage.

Key Responsibilities

• Lead and mentor a multidisciplinary team of AI/ML engineers, data scientists, and researchers.
• Establish engineering best practices, code quality standards, and model development workflows.
• Foster a culture of innovation, experimentation, ownership, and continuous learning.
• Drive technical decision-making and architecture discussions across multiple projects.
• AI Research Model Development
• Research, evaluate, and implement state-of-the-art (SOTA) AI and computer vision techniques.
• Develop models for object detection, segmentation, classification, tracking, anomaly detection, and multimodal AI applications.
• Vision Transformers (ViTs)
• Foundation Models
• Segment Anything Models (SAM)
• Diffusion Models
• Multimodal LLMs/VLMs
• Self-Supervised and Contrastive Learning approaches
• Optimize models for accuracy, scalability, and deployment efficiency.
• Product Development Project Execution

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.