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PwC

ETIC, AI Engineer - Senior Manager

PwC is hiring an ETIC, AI Engineer - Senior Manager in Cairo, Egypt. Level rates it ; you can apply on PwC.

Level's read on this job

  • On Level's scale, this AI engineer role is Builds AI โ—โ—โ—โ—: the job is building AI systems.
  • PwC mentions visa sponsorship in this posting.
  • Tools and skills the posting cites include PyTorch, TensorFlow and Keras.
  • Level classifies it as a senior role.
  • Level lists 3,700+ other open roles at PwC.

AI in this role

Leads the design and implementation of advanced AI and machine learning solutions as a Senior Manager at PwC.

PyTorchTensorFlowKerasPythonJavaC++AWSAzureGoogle CloudHadoopSpark
artificial-intelligencemachine-learningsolution-architecturealgorithm-design

Line of Service

Advisory

Industry/Sector

Technology

Specialism

Advisory - Other

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Creating technical architectures and choosing ideal tools & technologies - Developing and implementing AI models and algorithms - Planning for the integration of newly created solutions into the existing ecosystem - Translating the suggestions of stakeholders and BAs into technical language by elaborating the vision of the project - Work closely with security and risk leaders to foresee and overturn risks - Collaborate with data scientists and AI professionals to augment digital transformation efforts - Keep up to date with new technologies and solutions that can add value

Requirements:

- Degree in Computer Science or related field

- Minimum 12+ years of experience in Applied AI Solution Architecture

- Proficiency in machine learning frameworks such as TensorFlow, Keras, and PyTorch

- Experience with programming languages such as Python, Java, and C++ - Familiarity with cloud computing platforms such as AWS, Azure, and Google Cloud - Experience with big data technologies such as Hadoop and Spark - Knowledge of data warehousing and ETL tools

- Excellent problem solving and communication skills - Ability to work independently as well as in a team - Ability to handle customer queries and provide timely solutions

Preferable : To have a minimum of a masterโ€™s degree in computer science, data science or an AI-related discipline. You will need a proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis. You will also need to be familiar with a whole host of other approaches used in practical applications of machine learning.

Whole leadership : The ability to lead yourself and others to make a difference and create a positive impact in a responsible, authentic, resilient, inclusive and passionate manner.

Global acumen: The ability to operate and collaborate effectively with a mindset that transcends boundaries and embraces diverse perspectives.

Technical and Digital : Focus on fast growing technologies and how to make use of them towards digital transformation.

Business acumen: The ability to bring business knowledge, innovation and insight to create distinctive value for clients and PwC. Relationships: The ability to build relationships of high value which are genuine and meaningful

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

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Influence, Innovation, Intellectual Curiosity {+ 35 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

How we rate this

ETIC, AI Engineer - Senior Manager at PwC rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. โ—โ—โ—โ— Builds AI80 to 100
  2. โ—โ—โ—โ—‹ Works on AI60 to 79
  3. โ—โ—โ—‹โ—‹ Uses AI40 to 59
  4. โ—โ—‹โ—‹โ—‹ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Artificial IntelligenceMachine learningSolution ArchitectureAlgorithm DesignPyTorchTensorFlowKerasPython

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. Tell me about a project where artificial intelligence was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where solution architecture was part of your work. What did you do?
  4. Tell me about a project where algorithm design was part of your work. What did you do?
  5. Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Artificial Intelligence, Machine learning, Solution Architecture, Algorithm Design, and PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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