Prototype AI workflows and agents using tools like M365 Copilot, VeeamGPT, and Claude.
Turn enablement into durable assets such as checklists, templates, and playbooks for HR practitioners.
Build the HR AI knowledge foundation by organizing and maintaining agent/workflow libraries in SharePoint.
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide.
Design, prototype, and test AI-driven tools, agents, and workflow automations to reduce manual effort.
Partner with team leads to identify repetitive, high-volume work and convert it into automated or AI-assisted solutions.
Evaluate AI platforms and frameworks, making practical recommendations on where they add real value.
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide.
Conduct independent research in Generative AI, LLMs, NLP, and multimodal AI to design experiments and evaluate models.
Develop and implement LLM evaluation frameworks, analyze model performance, and identify data gaps for improvement.
Apply strong statistical and data science skills to clean, analyze, and interpret complex datasets for AI/ML research.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With a 36+ year legacy, the company is committed to delivering the highest quality data and outstanding outcomes for its customers.
Identify and implement AI/ML opportunities across products, including generative AI and LLM applications.
Build, evaluate, deploy, and maintain machine learning models in production.
Collaborate with product managers, engineers, and experts to translate business challenges into scalable ML solutions.
The company applies machine learning and AI to real-world business and product challenges. It fosters a collaborative, remote-first environment centered on technical learning, innovation, and professional development.
Lead data science work on grant-funded projects focused on teaching, coaching, and AI in education.
Apply statistical, machine learning, NLP, and generative AI methods to develop automated measures and workflows.
Collaborate with researchers and external partners to integrate research insights into educational tools and deliverables.
Harvard University is a world-renowned institution committed to advancing education and research. The Harvard Graduate School of Education fosters a diverse, collaborative community focused on maximizing impact in the field of education.