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Company Description
CogniAxis.ai is transforming healthcare delivery by building an AI-powered intelligence platform for the hospital of the future. By converting fragmented clinical activities into structured intelligence, interoperable workflows, and actionable knowledge, CogniAxis.ai creates scalable solutions for high-acuity healthcare environments. Starting with its surgical collaboration and intelligence module (CSM), the platform is designed to expand across various clinical and operational domains. Built in India with a global vision, CogniAxis.ai serves as a cornerstone of modern care delivery, aiming to enhance visibility, strengthen training, and foster long-term intelligence in healthcare institutions worldwide.
Role Description
This full-time hybrid role, based in Bengaluru with flexibility for partial remote work, entails designing, developing, and optimizing AI-powered healthcare systems. The AI Healthcare Systems Engineer will work on creating scalable, interoperable, and intelligent solutions for healthcare workflows. Daily tasks include development, deployment, and maintenance of AI models, implementing machine learning algorithms, developing software architecture for healthcare systems, and collaborating with cross-functional teams to integrate AI into clinical workflows. Additionally, the role involves ensuring system compliance with regulatory and data security standards in healthcare.
Qualifications
- Proficiency in Machine Learning, Deep Learning, and AI algorithm implementation.
- Experience with Programming Languages (e.g., Python, Java) and Software Development.
- Familiarity with Big Data Technologies, Cloud Computing, and Database Management.
- Understanding of Healthcare Systems, Interoperability Standards, and Regulatory Compliance.
- Strong Analytical Thinking, Problem-Solving, and Collaboration Skills.
- Knowledge of CI/CD processes and Agile methodologies is a plus.
- Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
- Experience in healthcare technology or a similar domain is highly desirable.
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