Intern ML Engineering & Gen AI

Predict42 is a cutting-edge AI startup revolutionizing feedback analytics with our enterprise SAAS platform, MIGO. We’re seeking a talented Intern ML & Data Science to join our team and gain valuable hands-on experience in the field of data science and machine learning. As an Intern ML Engineering & Gen AI, 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.

Responsibilities:

• Develop NLP/LLM-based features for MIGO and build innovative standalone apps using Flutter.
• Explore and develop applications utilizing generative AI techniques, such as text generation, image generation, and audio synthesis, leveraging LLMs (Large Language Models).
• 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.
• Develop, deploy, and maintain NLP and other ML models on GCP for various tasks, including generative AI applications powered by LLMs.
• Work closely with product managers to understand business requirements and identify opportunities for AI applications.
• Apply your knowledge of NLP techniques, including LLMs, to solve real-world problems on GCP.
• Leverage GCP services effectively for efficient model development, deployment, and management.
• Utilize open-source NLP and generative AI libraries and tools (including LLM frameworks) on GCP to accelerate development.

Qualifications:

• Current student pursuing a degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python.
• Basic understanding of machine learning algorithms and techniques.
• Familiarity with data analysis and visualization tools (e.g., pandas, NumPy, matplotlib).
• Interest in learning about data science, machine learning, and AI applications.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• German language proficiency at a minimum B2 level.

Benefits:

• EARN: Salary + Equity – We foster an entrepreneurial culture by offering a virtual stock option program.
• GROW: Research Time – All employees have blocked research time per week at their disposal.
• 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.

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