HiLabs is looking for a Content Developer to create compelling marketing content within the HealthTech industry. Responsibilities include developing various content formats, optimizing for SEO, and implementing a content strategy for internal communications.

The Digital Training Specialist at HiLabs will create and deliver engaging training materials for the company's intranet platform, focusing on video editing and graphic design. Responsibilities include developing interactive content, collaborating with stakeholders, assessing training efficacy, and ensuring materials meet learning standards.

The Lead/Senior Data Scientist at HiLabs will apply AI/ML techniques to solve complex healthcare problems, lead a team in developing robust ETL data pipelines, and manage deployment processes while adhering to best development practices. Responsibilities also include code reviews, testing, and collaborating with various teams to enhance project outcomes.

The Test Automation Architect will design and implement test automation strategies, develop frameworks, guide teams, conduct audits, mentor engineers, and collaborate with cross-functional teams to ensure quality in AI-driven solutions at HiLabs.

The Senior Engineering Manager will lead and manage engineering teams to deliver AI-powered solutions in the healthcare industry. The role involves coordinating projects, directing technical expertise, managing resources, and fostering team growth and innovation. The ideal candidate will have a strong technical background and proven leadership skills, with a focus on improving operational efficiency and team performance.

The Sr. DevOps Engineer will manage cloud infrastructure, implement CI/CD pipelines, enhance cloud security, and collaborate with cross-functional teams to ensure efficient deployment processes. The role requires expertise in AWS, Kubernetes, Docker, and Infrastructure as Code methodologies to maintain and optimize systems in a healthcare SaaS environment.

The Senior Data Scientist at HiLabs will leverage AI/ML techniques to solve complex healthcare problems and develop robust ETL data pipelines. The role involves leading a multidisciplinary team, enhancing solution quality, and ensuring efficient code development within a dynamic environment.