AI/ML Engineering, Senior Tech Lead, Cairo, Egypt Deloitte

Connect to your opportunity

Data requirements gathering and client engagement.

• Being able to engage with the client to understand their pain points and requirements.
• Communicate solutions/propositions effectively back to client/team.

Data analysis and pre-processing

• 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.

Algorithm Development

• Design, develop, and implement machine learning algorithms.
• Experiment with various machine learning models and techniques.
• Optimize algorithms for accuracy, efficiency, and scalability.

Model Training and Evaluation

• 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.

Data Visualization

• Create informative data visualizations to communicate insights effectively
• Familiarity with visualization libraries like Matplotlib, Seaborn, or data visualisation software s like Tableau, PowerBI.

Connect to your skills and professional experience

• 10+ years of experience in data engineering / data science

Essentials:

• 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.

Desirables:

• 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.