ZF AI Internship Program 2024.
hace 1 mes
Responsibilities
Research and Analysis Perform in-depth research on cutting-edge AI technologies and methodologies to solve specific challenges in projects.
Solution Design: Work collaboratively to design innovative AI solutions that align with project goals and specifications.
Development: Code and implement solutions to solve ZF´s real-world challenges.
Machine Learning Models: Take charge of training, testing, and fine-tuning machine learning models for optimum performance.
NLP Projects: Engage in natural language processing projects, utilizing your knowledge to process and analyze complex data sets.
Data Analysis and Feature Engineering: Extract key insights from data and engineer features to improve model accuracy and performance.
Dataset Generation: Create and preprocess datasets to train machine learning models, ensuring they are robust and representative.
Collaboration: Actively collaborate with team members to deliver superior AI solutions.
Requirements:
Education: Currently in the final year of a Bachelor’s degree in Computer Science, Data Science, Mechatronics, Robotics, or a related field, with a significant AI component.
Technical Skills: Proficient in Python with experience in AI-related libraries (e.g., Pandas, Polars, PyTorch, Keras, etc.). Knowledge of NLP, machine learning models, dataset generation, and feature engineering is essential.
Analytical Skills: Excellent problem-solving skills, analytical mindset, and attention to detail.
Research Ability: Proven capability to conduct comprehensive research and stay up-to-date on the latest developments in AI.
Communication: Outstanding verbal and written communication skills in both English and Spanish, with the capacity to effectively articulate complex ideas clearly and work in a team setting.
Adaptability: Quick to adapt to new technologies and overcome challenges in a dynamic environment.
Passion for AI: A genuine enthusiasm for artificial intelligence, machine learning, and technological innovation.
What we offer:
Competitive economical allowance Hybrid work-
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