ETIC, Applied AI - Graduate Program at pwc

Cairo, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

18 Jul, 26

Salary

0.0

Posted On

19 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C#, C++, Git, JIRA, Agile Methodologies, Artificial Intelligence, Machine Learning, Data Structures, Algorithms, Langchain, TensorFlow, PyTorch, Keras, Problem-solving, Communication

Industry

Professional Services

Description

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Intern/Trainee Job Description & Summary PwC ETHIC seeks an Applied AI Intern with a background in computer science, programming skills in Python or C# and familiar with Git, JIRA, and Agile methodologies. The intern should possess problem-solving abilities, critical thinking skills, and be able to communicate complex technical information. They should be a team player with a passion for AI and a desire to learn and grow. 1. Education: The Graduate should have a bachelor's degree in computer science, electrical engineering, mathematics, or a related field. Ideally, the intern should have taken courses in artificial intelligence, machine learning, data structures, algorithms, and programming languages such as Python, or C++. 2. Technical Skills: The intern should have a strong foundation in programming and software development. They should have experience with programming languages such as Python, or C++. They should also be familiar with software development tools such as Git, JIRA, and Agile methodologies. Experience with AI frameworks such as Langchain, TensorFlow, PyTorch, or Keras is a plus. 3. Problem-Solving Skills: The intern should have strong problem-solving skills and the ability to analyze complex data sets. They should be able to identify patterns and trends, and develop algorithms to solve problems. 4. Communication Skills: The intern should have excellent communication skills, both written and verbal. They should be able to communicate technical information to non-technical stakeholders in a clear and concise manner. 5. Collaborative Skills: The intern should be a team player and be able to work collaboratively with other members of the team. They should be able to share their ideas and be open to feedback. 6. Passion for AI: The intern should have a passion for AI and be willing to learn new technologies and tools. They should be curious and have a desire to innovate. 7. Attention to Detail: The intern should have a strong attention to detail and be able to identify errors and bugs in code. They should be able to write clean, well-documented code. 8. Ethical Considerations: The intern should be aware of the ethical considerations surrounding AI, such as bias and privacy concerns. They should be committed to developing AI solutions that are fair, transparent, and ethical. 9. Willingness to Learn: The intern should be willing to learn new skills and technologies and be open to feedback from their peers and mentors. 10. Self-Motivation: The intern should be self-motivated and able to work independently. They should be able to prioritize their workload and meet deadlines. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

The intern will develop AI solutions by analyzing complex data sets and identifying patterns. They will also collaborate with team members to innovate and communicate technical information to non-technical stakeholders.