Software Development Intern

Software Development Intern

Qualifications

Joining EMS as an intern provides you with the opportunity to explore possible career opportunities within Product Management, Software Development, IT Communications, as well as:

• Meeting senior executives
• Enhancing business connections
• Contributing to departmental goals.

Responsibilities:

EMS is seeking students for the summer 2024, in Wayne, PA in a hybrid capacity to assist us in our digital transformation. Interns must be able to work in the Wayne office at least three days per week.

• • • Qualifications

      • Currently pursuing a degree in Computer Science, Data Science, or a related field
      • Exposure to a variety of Data Visualization for BI, AI/ML/DL/NLP tools and technologies
      • Understanding and experience with neural networks, and data analysis techniques
      • Advanced Python skills and proficiency with machine learning frameworks like TensorFlow or PyTorch.
      • Proficiency with C#,.NET Framework and .NET Core.
      • Experience with large language models and fine tuning them with custom data.
      • Practical knowledge of Azure cloud platform, Cognitive Services products, Azure AI | Machine Learning Studio, and Azure OpenAI Service.
      • Strong analytical and problem-solving skills.
      • Ability to work collaboratively in a team environment.
      • Excellent communication and interpersonal skills.

       

      Responsibilities

      • As an AI/ML Intern, you will support the development and implementation of artificial intelligence and machine learning solutions for our Competency analysis solution.
      • You will collaborate with a team of experts to create and optimize visual framework of Business Intelligence solutions, develop algorithms, and contribute to the advancement of research technologies and data science projects.
      • Collaborate with team members to understand project requirements and deliver solutions.
      • Build, validate, and troubleshoot data visualization modules using public or internal tools and metrics, like PowerBI.
      • Participate in data preprocessing, including cleaning and structuring for ML readiness.
      • Assist in the development of AI and ML models for complex data analysis.
      • Contribute to the deployment of machine learning algorithms and monitor their performance.
      • Stay informed of the latest trends and technologies in AI/ML/DL/NLP and suggest improvements.
      • Provide support for AI/ML functions associated with Quality.
      • Support the team in troubleshooting and resolving technical issues.