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The role involves full-stack application development focusing on backend architecture, creating reusable APIs, and ensuring high-quality software through best practices. Responsibilities include managing software development from start to deployment and collaborating with the team to deliver efficient code and maintain application integrity.

As a Senior/Lead Software Engineer at HiLabs, you will develop and implement machine learning algorithms to tackle complex healthcare problems, collaborate with stakeholders, and lead a team of Data Scientists and developers. Responsibilities include optimizing machine learning solutions, conducting data analysis, and enhancing existing algorithms.

The Engineering Manager will lead and manage teams to deliver innovative AI solutions for the US healthcare industry. Responsibilities include project coordination, technical direction, resource management, and fostering team growth and motivation. The role requires strong communication skills and the ability to deal with complex technical challenges.

The Digital Training Specialist will design and develop engaging training materials for HiLabs' intranet platform. Responsibilities include creating and editing video content, graphic design using Adobe and Canva, and applying instructional design principles to enhance employee training and engagement.

The Sr. DevOps Engineer will manage and optimize AWS cloud infrastructure utilizing Infrastructure as Code, implement CI/CD pipelines, and enhance security measures. The role requires collaboration with cross-functional teams and leadership in deploying new DevOps solutions.

As a Data Engineer, you will design, develop, and maintain ETL/ELT pipelines, optimize databases, collaborate with teams for data integration, automate tasks, and ensure proper documentation for data engineering processes.

The Lead/Senior Software Development Engineer in Test (SDET) will design and maintain automated testing frameworks to ensure the reliability of AI/ML models, data pipelines, and APIs. Responsibilities include leading test automation, collaborating with engineers, executing testing strategies, developing test frameworks, conducting data validation tests, and monitoring data pipelines.