Lead Software Developer - AI & Computer Vision
Want to have a direct impact on patient's health and life and cut down healthcare costs?
Then join our growing team at Ignas, where we are pioneering healthcare solutions to combat one of the most critical challenges faced by hospitals today using AI and deep-tech technology.
As a Software Developer specializing in Cloud-Based AI & Computer Vision at Ignas, you'll engage in designing and implementing solutions within the AWS environment. Your role will involve integrating a range of AWS services to develop secure, scalable cloud-based systems for real-time healthcare analytics and decision-making processes.
Projects and Responsibilities:
Develop and Optimize Cloud-Based Solutions: Utilize AWS services to build and refine cloud-based applications for AI and computer vision, focusing on improving healthcare outcomes.
Implement Advanced AWS Services: Work with AWS Core Account Structure, AWS Directory Service, AWS Control Tower, AWS Organizations, AWS Systems, AWS Transit Gateway, AWS Single Sign-On, and more to create scalable, secure solutions.
Leverage AI for Real-Time Analysis: Employ Amazon Rekognition for image and video analysis, contributing to our AI-driven assessment tools that enhance real-time healthcare decision-making.
Enhance Data Management and Security: Utilize AWS IoT Core, S3, and Amazon API Gateway to manage device data securely and efficiently, ensuring compliance with healthcare standards.
Build Intuitive Dashboards: Develop dashboards using QuickSight or other AWS-compatible applications to provide actionable insights from complex datasets. Work closely with hospitals and their experts in our field.
Education and Competency:
Cloud Computing Expertise: Strong background in cloud computing, particularly within the AWS ecosystem, understanding its services and how to integrate them into comprehensive hardware/IoT solutions.
Programming Skills: Proficient in programming languages relevant to AWS and cloud-based development, including expertise in container management and serverless architectures.
AWS Security Knowledge: Understanding of AWS Security principles, ensuring all developed applications are secure and compliant with industry regulations.
AI and Machine Learning: Experience with Amazon Rekognition and the ability to leverage AWS for building AI-driven analytics and processes.
Dashboard Development: Skill in creating insightful, user-friendly dashboards using QuickSight or similar tools to visualize data effectively.
Version Control: Proficiency in using version control tools like GitHub or Bitbucket for collaborative development and code management.
As part of our team, you'll enjoy a range of perks designed to support your professional growth and personal well-being. After all, we aim to save patients' lives!
We offer lunch and snacks to help you stay energized and you´ll also get access to the best available AI tools and technologies that will empower you to bring your innovative ideas to life. We understand the importance of work-life balance and offer flexible working hours.
We offer competitive salaries and we have an impressive vesting plan for employees.
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