Connect to your career at 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 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.
- Being able to engage with the client to understand their pain points and requirements.
- Communicate solutions/propositions effectively back to client/team
- Collect and clean large datasets for machine learning projects.
- Explore data to identify patterns, anomalies, and potential insights.
- Pre-process data, including feature engineering and normalization.
- Design, develop, and implement machine learning algorithms.
- Experiment with various machine learning models and techniques.
- Optimize algorithms for accuracy, efficiency, and scalability.
- Train machine learning models using collected data.
- Perform testing to validate models
- Evaluate model performance using appropriate metrics and techniques.
- Fine-tune models to improve predictive accuracy.
- Create informative data visualizations to communicate insights effectively
- Familiarity with visualisation libraries like Matplotlib, Seaborn, or data visualisation software’s like Tableau, PowerBI.
- 6-10 years of experience in AI/ML field
- Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
- Data proficiency: Proficient in data collection, pre-processing, and analysis.
- Model Mastery: Proven experience in developing and fine-tuning machine learning models.
- Domain Knowledge: Familiarity with deploying ML frameworks in industry
- Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements.
- Project Leadership: Previous experience leading AI/ML initiatives.