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Glenmark Pharmaceuticals

8 months ago

Manager- Full Stack Developer (AI, RPA, Data Analytics)

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Company information

Company
Glenmark Pharmaceuticals
Location
India, Maharashtra, Mumbai India
Posted
8 months ago
View all jobs at Glenmark Pharmaceuticals

Job description

1. Position Summary The Full Stack Developer Lead is responsible for designing and leading development of user facing applications, dashboards, portals and APIs required to deliver AI, analytics and automation solutions to business users. This includes UIs for Manufacturing Control Tower, dashboards for Golden Batch and Yield, interfaces for OOS prediction and pricing models, and tools that enable RPA and AI capabilities to be consumed effectively. 2. Roles Played Technical lead for full stack development projects, ensuring timely delivery of high-quality solutions. Collaborate with cross-functional teams to identify business requirements and develop technical strategies to meet those needs. 3. Key Responsibilities • Design and lead the development of user-facing applications, dashboards, portals, and APIs required to deliver AI, analytics, and automation solutions to business users. • Develop UIs for Manufacturing Control Tower, dashboards for Golden Batch and Yield, interfaces for OOS prediction and pricing models, and tools that enable RPA and AI capabilities to be consumed effectively. • Collaborate with cross-functional teams to identify business requirements and develop technical strategies to meet those needs. • Ensure timely delivery of high-quality solutions by leading full stack development projects. 4. Requirements • Bachelor's degree in Computer Science, Information Technology or related field. • 5+ years of experience in full-stack development with proficiency in AI, RPA, and data analytics technologies. • Strong understanding of software development life cycles, including Agile methodologies. • Experience with cloud-based platforms such as AWS, Azure, or Google Cloud. • Knowledge of machine learning algorithms and their applications. • Familiarity with data visualization tools and techniques. 5. Benefits • Opportunity to work on cutting-edge AI, RPA, and data analytics projects. • Collaborative and dynamic work environment. • Professional development opportunities through training and mentorship programs.

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