Artificial Intelligence Engineering Intern
DMS’ Purpose:
We are creating a culture of service. We empower others to grow, rise, and give back – accelerating positive change in the world. We lead with the heart to bring out the best in you – which brings out the best in us. We do well so we can do good.
Serve Others, Enrich Lives, Rise Together, and Give Back
Responsibilities:
- Development and Implementation: Contribute to the design and development of AI systems and models, including machine learning, natural language processing, computer vision, and robotics applications.
- Research and Innovation: Participate in cutting-edge research in AI and machine learning, aiming to solve complex problems in various domains such as cybersecurity, autonomous systems, and data analytics.
- Data Analysis: Analyze large datasets to train and test AI models, ensuring accuracy and effectiveness of the solutions developed.
- Documentation and Reporting: Maintain detailed documentation of the development process, algorithms, and technologies used. Prepare reports and presentations to communicate findings and results to technical and non-technical stakeholders.
Requirements:
- Technical Skills: Proficiency in programming languages commonly used in AI development such as Python, Java, or C++. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data analysis tools.
- Problem-Solving: Strong analytical and problem-solving skills, with the ability to work on complex problems and provide innovative solutions.
- Communication Skills: Excellent written and verbal communication skills, capable of presenting ideas and findings clearly to both technical and non-technical audiences.
- Collaboration: Ability to work effectively in a team environment, contributing to a collaborative and inclusive work culture.
Preferred Skills/Experience:
- Educational Background: Currently enrolled in or recently graduated from a degree program in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
Traits/Values:
Integrity – adhering to high ethical principles and professional standards.
- Trustworthiness – Being honest, dependable, and earning the confidence of others.
- Excellence – consistently being the best you can be.
- Responsible – being reliable and trustworthy.
- Accountability – being obligated and willing to accept responsibility for one’s actions.
- Dignity – behaving in accord with DMS basic principles.
- Respect – treating others as you would have them treat you.
Our Values:
Gratitude * Integrity * Fun * Teamwork * Excellence * Diversity &
Respect * Innovation * Commitment * Humility