Senior Applied Scientist (Computer Vision)

About the Company:

Kognitos is at the forefront of revolutionizing the trillion-dollar hyper-automation market. Our mission is to redefine how software is built and maintained by leveraging cutting-edge multi-agent automation platforms. We are pioneering advancements in computer vision–driven agentic workflows, enabling machines to perceive, reason, plan, and execute tasks in a deterministic fashion. Our approach up-levels debugging to English, bypassing traditional programming languages that struggle to adapt. If you’re passionate about solving some of the hardest problems in AI and applying state-of-the-art vision technologies to transform enterprise automation, join us at Kognitos to build the future of software.

About the Role:

• Efficient Vision Model Fine-Tuning: Develop innovative methods to optimize resource usage for training and fine-tuning computer vision models, ensuring high accuracy while maintaining efficiency.
• Agentic Visual Workflows: Advance workflows that allow AI to interpret and act on visual data with reliability and determinism, minimizing perception errors and runtime surprises.
• Multimodal AI: Work on multimodal use cases, combining vision, language, and structured data to build adaptive, enterprise-ready automation tools.
• Scalable Vision AI for Enterprises: Design AI-powered visual understanding systems that can remove inefficiencies and cut operational expenses by automating visually driven tasks at scale.

Responsibilities:

• Design, implement, and deploy computer vision models for deterministic, enterprise-grade task execution.
• Develop multimodal AI solutions that integrate visual perception with natural language understanding.
• Innovate on fine-tuning and model compression techniques to maximize inference speed and efficiency.
• Ensure AI perception systems meet enterprise compliance and deliver measurable business value.
• Collaborate with cross-functional teams—product, engineering, and business—to deliver impactful vision-based automation.
• Stay at the forefront of computer vision and multimodal AI research, applying relevant advancements to Kognitos’ platform.

Qualifications:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Computer Vision, or a related field.
• Proven experience developing and deploying computer vision models in production environments.
• Expertise in fine-tuning techniques for large-scale vision models and optimizing resource usage.
• Strong intuition with visual transformer architectures, CNNs, and vision-language models.
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, or OpenCV.
• Excellent problem-solving skills and ability to thrive in a fast-paced environment.

Preferred Qualifications:

• Experience with agentic workflows and multi-agent perception systems.
• Knowledge of enterprise automation challenges where computer vision adds measurable value.
• Prior work in multimodal AI for enterprise applications.
• Familiarity with cloud platforms and distributed computing frameworks.

Equal Opportunity Statement:

Kognitos is committed to fostering a diverse and inclusive workplace where everyone is valued for their unique perspectives and contributions. We welcome applicants from all backgrounds and experiences.