Senior Ground Software Operations Engineer at Orbital Sidekick, developing tools and processes for hyperspectral satellite operations and optimizing task scenarios.
About the role
- Internship focusing on AI/DIGITAL solutions to improve efficiency in Global Pharmaceutical Operations. Collaborate with cross-functional teams to prototype and implement AI applications.
Responsibilities
- Identify and assess opportunities to apply AI/DIGITAL within GPO ExM to streamline workflows, reduce manual effort, and enhance decision-making.
- Design and prototype AI/DIGITAL-enabled tools, dashboards, or workflows (e.g., generative AI/DIGITAL assistants, document summarization, data analysis helpers, process automation concepts).
- Translate business problems into AI/DIGITAL use cases and clearly articulate the potential impact (e.g., time savings, quality improvements, risk reduction).
- Collaborate with ExM subject matter experts to gather requirements, understand pain points, and prioritize AI/DIGITAL use cases with the highest value.
- Develop proof-of-concept demos or mockups to showcase how AI/DIGITAL can be integrated into current processes.
- Analyze and visualize data to provide actionable insights and support recommendations for process improvements.
- Prepare and deliver presentations, demos, and documentation to communicate AI/DIGITAL concepts and outcomes to non-technical stakeholders.
- Support change management activities by helping to create training materials, quick-reference guides, or best-practice examples for AI/DIGITAL use in the organization.
- Stay current on AI/DIGITAL tools, trends, and best practices relevant to operations, external manufacturing, and business transformation.
- Design and/or prototype at least one AI/DIGITAL solution for GPO ExM; including documented business impact, with a final end of term presentation to key stakeholders.
Requirements
- Currently enrolled in an accredited undergraduate or graduate program in a STEM discipline (e.g., Computer Science, Data Science, Engineering, Mathematics, Statistics, Information Systems, Operations Research, or related field).
- Demonstrated proficiency and hands-on experience with AI or related technologies, such as: Generative AI/DIGITAL tools (e.g., large language models, chat-based AI/DIGITAL assistants)
- Machine learning / data science concepts
- Natural language processing, data analytics, or automation tools
- Strong technical aptitude and ability to quickly learn new tools, platforms, and technologies.
- Proven ability to demonstrate how AI/DIGITAL can be applied in a business context to improve performance, speed, and user experience (e.g., class projects, prior internships, competitions, or personal projects).
- Demonstrate awareness of data privacy, security, and responsible AI considerations in AI/DIGITAL use cases
- Previous internship and/or co op experience with another corporation.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently and collaboratively in a cross-functional, global environment.
- High level of initiative, curiosity, and willingness to challenge the status quo.
Benefits
- Flexible Work Arrangements
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