About Us

SkyServe is sensor agnostic "Insights-as-a-Service" edge computing platform on-board satellites, providing inferences to industries, system integrator, and geospatial developers.

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

Technical Leadership & Team Management

• 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.
• Work with modern architectures including:
  • 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

• Own the end-to-end lifecycle of AI projects from problem definition to production deployment.
• Translate business requirements into scalable AI solutions.