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Job Description
Roles & Responsibilities
We are looking for candidates that have a variety of experience across the following areas
- Conduct data analysis to identify insights and trends.
- Develop and deploy machine learning models.
- Collaborate with data engineers to ensure data availability and quality.
- Provide recommendations for AI strategy and implementation.
- Stay updated on the latest AI and data science developments.
- Assist clients in understanding and interpreting AI and data-driven insights.
- Troubleshoot and debug AI algorithms as needed.
- Document and communicate project progress and results to clients.
Connect to your skills and professional experience
- Education: A bachelor's or higher degree in a relevant field such as computer science, data science, or machine learning.
- Experience:
- Significant experience in data analysis, data science, and machine learning.
- Proficiency in programming languages like Python and R.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of statistical concepts and modelling techniques.
- Familiarity with data pre-processing and cleaning.
- Knowledge of popular machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience deploying machine learning models in production.
- Certifications: Relevant certifications like AWS Machine Learning, Google Cloud AI, or Microsoft Certified: Azure AI Engineer can be beneficial.
Desired Candidate Profile
Education: A bachelor's or higher degree in a relevant field such as computer science, data science, or machine learning.
Experience:
- Significant experience in data analysis, data science, and machine learning.
- Proficiency in programming languages like Python and R.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of statistical concepts and modelling techniques.
- Familiarity with data pre-processing and cleaning.
- Knowledge of popular machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience deploying machine learning models in production.
- Certifications: Relevant certifications like AWS Machine Learning, Google Cloud AI, or Microsoft Certified: Azure AI Engineer can be beneficial.
Company Industry
- Banking
- Financial Services
- Broking
Department / Functional Area
- IT Software
Keywords
- AI & Data Engineer
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Deloitte
Deloitte , established globally in 1845, is the world s largest and leading professional services firm, providing Audit & Assurance, Tax & Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation. Deloitte innovation hub (DIH) is a strategic initiative/priority established by Deloitte North & South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients most complex business problems, across Portfolios that include Strategy & Transactions , Customer , Engineering, AI & Data, Enterprise, Technology & Performance and Cyber . DIH is aiming to become the destination for top talents in Egypt for a long, exciting career. We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.