Senior AI/ ML Engineer Deloitte

Position Summary
Location
Cairo
Senior AI / ML Engineer, Cairo, Egypt
Connect to your career at Deloitte.
Deloitte drives progress. Using our vast range of expertise, that covers audit, risk advisory, and consulting services across tax, legal, business, technology, and corporate finance, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.
What brings us all together at Deloitte? It s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.
Connect to your opportunity.
We are seeking committed new talent to join our AI & Data team.
Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge Data Science and Machine Learning techniques alongside Digital Transformation.
As a Consultant in our team, you will:
Apply data science and machine learning techniques creatively to solve complex problems.
Research and develop innovative solutions.
Stay abreast in new machine learning techniques and data technologies.
Participate in all phases of the data science lifecycle from PoC to fully tested productionised solutions.
Prepare technical documentation.
Be responsible for the high-quality delivery of key parts of our engagements working with our senior data scientists.
Suggest practical solutions to clients and work to implement these solutions as a part of larger project teams.
Assisting in the crafting of responses to client proposal requests and in pitching data science projects to client.
Your Tasks would include:
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 visualization software s like Tableau, PowerBI.
Connect to your skills and professional experience.
You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.
All candidates must hold a BSc of computer engineering or equivalent and have 3-6 years of experience in data science and AL/ML.
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.
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