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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