Intern Data Science (LLM & NLP Focus)

Predict42 is a cutting-edge AI startup revolutionizing feedback analytics with our enterprise SAAS platform, MIGO. We're seeking a talented Intern Data Science to join our team and gain valuable hands‑on experience in the field of data science and machine learning. As an Intern Data Science, you'll have the opportunity to work closely with experienced professionals and contribute to real-world projects, developing your technical skills and knowledge while gaining exposure to cutting‑edge AI technologies.

• 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.
• 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.

EARN:Salary + Equity

We foster an entrepreneurial culture by offering a virtual stock option program.

we offer mix of remote and on‑premise work, combining the best of both worlds

GROW:Research Time

all employees have blocked research time per week at their disposal.

we subsidize up to 20% of you pension plan / direct insurance via salary conversion

COMPASSION: Care

we care and support you, if you go through a difficult time at some point in your life.

BOND: Team Building

we organize different team events, including a super exciting offsite each year.