Intern Data Science and Generative AI

Responsibilities:

• Develop NLP/LLM-based features for MIGO and build innovative standalone applications using Python (including web scraping techniques) or Flutter.
• Prototype Generative AI applications using techniques like text generation, image generation, and audio synthesis, leveraging LLMs (Large Language Models). Utilize Streamlit to create interactive data visualizations and dashboards for these prototypes.
• Collaborate with product managers and engineers to ensure seamless integration of NLP and generative AI models (including LLMs) into our GCP-based products and services. (Focus on data preparation and model integration, not development)
• Explore and experiment with Generative AI applications powered by LLMs, focusing on prototyping and feasibility.
• Work closely with product managers to understand business requirements and identify opportunities for AI applications, particularly those leveraging Generative AI techniques.
• Apply your knowledge of NLP techniques, including LLMs, to solve real-world problems on GCP, focusing on data analysis and exploration.
• Leverage GCP services effectively for data storage, processing, and visualization of data used in Generative AI applications.
• Utilize open-source NLP and generative AI libraries and tools (including LLM frameworks) on GCP to accelerate development.

Qualifications:

• Develop NLP/LLM-based features for MIGO and build innovative standalone applications using Python (including web scraping techniques) or Flutter.
• Prototype Generative AI applications using techniques like text generation, image generation, and audio synthesis, leveraging LLMs (Large Language Models). Utilize Streamlit to create interactive data visualizations and dashboards for these prototypes.
• Collaborate with product managers and engineers to ensure seamless integration of NLP and generative AI models (including LLMs) into our GCP-based products and services. (Focus on data preparation and model integration, not development)
• Explore and experiment with Generative AI applications powered by LLMs, focusing on prototyping and feasibility.
• Work closely with product managers to understand business requirements and identify opportunities for AI applications, particularly those leveraging Generative AI techniques.
• Apply your knowledge of NLP techniques, including LLMs, to solve real-world problems on GCP, focusing on data analysis and exploration.
• Leverage GCP services effectively for data storage, processing, and visualization of data used in Generative AI applications.
• Utilize open-source NLP and generative AI libraries and tools (including LLM frameworks) on GCP to accelerate development.

‍Benefits:

• Learning Opportunities: Cutting-edge projects in Generative AI, mentorship from experienced professionals.
• Agile Culture: Collaborative young team in a fun working environment.
• Impactful Work: Prototype innovative solutions with Generative AI, contribute to a purpose-driven company.