Lead Machine Learning Engineer
Launch PotatoFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need hands-on experience in software development with system architecture, strong application development background and microservices architecture, exposure to AI technologies like ML, NLP, and OCR, and knowledge of GITLAB, JIRA, Kubernetes, Docker, plus cloud hosting like AZURE or AWS.
This information is not specified in the job description.
This information is not specified in the job description.
The role includes providing technology leadership to engineering teams, functional people management of Delivery Project Managers, Architects, System/Data Analysts, Developers and Testers, and accountability for delivery, escalations, and project performance reporting.
A strong candidate has hands-on end-to-end delivery experience in AI/ML projects, expertise in system architecture and microservices, leadership in agile teams using tools like JIRA and GITLAB, and the ability to manage cross-functional teams and stakeholders.
Advanced analytics and clinical research services
IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.