Innovation Intern, Cubic

• Proficiency in machine learning algorithms and techniques
• Experience with natural language processing (NLP) and computer vision
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
• Ability to analyze and interpret complex data sets
• Bachelor's degree in Computer Science, Data Science, or a related field
• It is essential for the candidate to have excellent English communication skills both oral and written – must be able to clearly communicate complex topics and decisions to an audience who doesn’t hold the same level of technical expertise, and be able to effectively discuss solution options and ensure they are understood
• Someone who is always striving for continuous improvement and understands the need for change controls and coding best practices
• A positive work ethic, analytical thinker, and an effective communicator
• A self-motivated, focused individual with excellent interpersonal and presentation skills
• The ability to manage multiple initiatives simultaneously and capable of working effectively under pressure
• Able to work effectively with remote management, minimal supervision and regularly exercise discretion and decision-making
• Must be self-motivated with a positive attitude, and be proactive at recommending and implementing change initiatives
• Ability to perform work requiring a high degree of accuracy
• Able to prioritize work, complete multiple tasks and work under tight deadlines
• Strong analytical and critical thinking skills
• Ability to adapt to changing technologies and business needs
• Enthusiasm for learning and staying current with AI advancements

Desirable

• The AI Developer will be responsible for designing, developing, and implementing machine learning (ML) and AI solutions to enhance business processes
• This role involves working closely with data engineers and business analysts to create machine learning models, develop AI applications, and ensure the seamless integration of AI technologies into the company's BI systems
• Design and develop machine learning models and AI applications to solve business problems
• Collaborate with data engineers and business analysts to understand business requirements and translate them into AI solutions
• Works on natural language processing (NLP), computer vision, or reinforcement learning
• Develops AI-powered applications like chatbots, recommendation engines, and predictive models
• Conduct experiments and tests to validate the effectiveness of AI models
• Maintain and improve existing AI systems to ensure they meet evolving business needs
• Provide technical support and guidance to the BI team on AI-related projects
• Stay up to date with the latest ML/AI research and technologies to implement innovative solutions
• Document ML/AI development processes and procedures for future reference and troubleshooting
• Participate in team meetings and contribute to the continuous improvement of BI processes
• Communicate effectively with stakeholders to ensure ML/ AI solutions align with business objectives