Graduate Intern

As an AI Intern, you're not just starting an internship; you're stepping onto a path that leads to becoming an influential figure in AI, ML, and data science within the construction sector. This role offers a unique blend of hands-on experience with advanced technologies, mentorship from industry leaders, and opportunities for significant professional growth.

• Innovative Solution Development: Design and implement cutting-edge internal tools leveraging Generative AI and Large Language Model technologies to optimize construction processes.
• Machine Learning Integration: Play a crucial role in integrating ML models and Azure OpenAI into our development projects, ensuring alignment with our strategic goals and quality standards.
• AI Application Deployment: Assist in developing and maintaining cloud-based pipelines (primarily Azure OpenAI) for deploying and scaling AI applications, enhancing our project delivery capabilities.
• Research and Development: Engage in the exploration and assessment of emerging AI technologies and methodologies to continually improve our project outcomes and efficiency.
• Dynamic Role Evolution: Depending on your evolving skills and interests, your responsibilities may encompass AI engineering, data pipeline management, NLP, feature engineering, and more.

• Empowerment: We provide the tools, resources, and support needed for you to excel and innovate in your role.
• Flexibility: Enjoy flexible work hours with a requirement to be onsite at least one day per week to foster team collaboration.
• Safety and Well-being: Your health and safety are paramount; offers are contingent on a successful drug screening.
• Career Growth: High-performing interns have the opportunity to join Lithko post-graduation, paving the way for a promising career.

• Current enrollment in a Master's or Doctoral program in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• A solid foundation in AI and ML concepts, including proficiency with large language models.
• Experience or strong familiarity with Azure, especially in application deployment contexts.
• Proficiency in Python and experience with AI/ML libraries and frameworks.
• Exceptional collaborative and independent work skills, alongside a passion for problem-solving and technology exploration.