Degree in Artificial intelligence- AI
Aartificial intelligence, AWS, Azure, Data management, Data science techniques, Database, Effective communication skills, Google Cloud Platform (GCP), Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Python Programming, R Programming, SQL
Position Overview: Data Science Intern - Master's / PhD Student
Join us as a Data Scientist Intern where you'll dive into the fascinating world of AI, particularly Large Language Models (LLMs). This role is ideal for those passionate about data-driven insights and eager to contribute to the development of cutting-edge AI technologies.
Key Responsibilities:
Qualifications:
Preferred Experience:
Internship Duration:
4 months period, adaptable to academic commitments and project demands.
Internship Benefits:
This internship is a gateway for students and recent grads to immerse themselves in the evolving AI and data science fields, with a spotlight on Large Language Models.
About Sisense:
Sisense stands as a beacon of light in the embedded analytics landscape, recognized globally for pioneering solutions that infuse intelligence into every facet of business. As we continue on our journey and explore the vast opportunities of the API economy, we're positioning ourselves for unprecedented growth.
Our vision is bold and transformative: a future where analytics and insights underpin every decision, every process, and every interaction. Our team, an amalgamation of diverse perspectives and unique skills, is our secret weapon. At Sisense, we foster a culture of innovation, collaboration, and inclusivity, powering our relentless drive to redefine what's possible in the world of analytics.
Sisense is a business intelligence software company headquartered in New York City. Sisense was founded in 2004 in Tel Aviv, Israel, as a provider of business intelligence tools for small to midsize businesses. The company initially focused on research and development and did not formally publicize its products until 2010. Initial investors included venture capital firms Genesis Partners and Opus Capital and private investor Eli Farkash.