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Description:
The Junior AI Engineer at Spotted Zebra will work on delivering innovative AI-driven features to address the global skills crisis by utilizing Large Language Models (LLMs) and Natural Language Processing techniques.
Responsibilities include developing AI solutions, integrating models with existing systems, optimizing model performance, and ensuring AI solutions effectively solve client problems.
The role involves collaborating with cross-functional teams, managing data, staying updated with AI research, driving product development, and leading quality assurance efforts.
The Junior AI Engineer will report to the Lead AI Engineer and work closely with Full Stack Engineers, Product Managers, and Design teams to integrate AI-driven solutions into the platform.
Requirements:
Technical Requirements:
Strong mathematical and statistical skills with a STEM background.
Proficiency in Python and knowledge of libraries like Pandas, NumPy, and Matplotlib.
Understanding of prompt engineering techniques and frameworks, and basic knowledge of transformers and LLM architectures.
Ideally, 1 year of industry experience and familiarity with tools like Google Colab, HuggingFace, LangChain, and PyTorch.
Soft Skill Requirements:
Problem-solving and innovation skills.
Strong communication and influencing abilities.
Attention to detail, especially in quality assurance.
Collaboration with engineering teams and project planning skills.
Proactiveness, analytical thinking, and empowerment mindset.
Benefits:
Meaningful share options.
25 days holiday.
Remote-first working environment with the option to use co-working spaces through Hubble.