AI/ML Consultant and Solutions Architect
Nasr City,
Egypt

We are looking for an experienced AI/ML Consultant & Solutions Architect to provide technical leadership and guidance across a range of AI, machine learning, and data-driven initiatives.
The consultant will be responsible for helping us evaluate business problems from an AI/ML perspective, define the appropriate technical approaches, design scalable solutions, establish development and deployment strategies, and provide ongoing technical guidance throughout implementation.
This is a senior consulting role requiring strong practical experience designing and delivering AI/ML solutions in production environments.
Ideal Candidate is someone with strong practical engineering and architectural experience, not only theoretical or research knowledge.
The ideal candidate has previously taken AI/ML projects from an initial business problem through experimentation and into production, and understands the challenges involved in data quality, model selection, evaluation, deployment, scalability, monitoring, and long-term maintenance.
They should be comfortable working across different AI/ML domains and selecting the appropriate approach for each problem rather than being tied to a particular technology or modeling technique.
Qualifications
- ×Strong professional experience in machine learning, artificial intelligence, or applied data science.
- ×Proven experience architecting and delivering AI/ML solutions in production.
- ×Strong understanding of the complete machine-learning lifecycle, from data preparation and experimentation through production deployment and monitoring.
- ×Experience selecting appropriate modeling approaches based on business and technical requirements.
- ×Strong Python and ML/data ecosystem experience.
- ×Experience with modern machine-learning and deep-learning frameworks.
- ×Experience designing data pipelines and working with large datasets.
- ×Experience deploying and operating ML models in production environments.
- ×Strong understanding of MLOps principles and practices.
- ×Experience with cloud infrastructure such as AWS, GCP, or Azure.
- ×Understanding of APIs, microservices, containers, and modern software architecture.
- ×Ability to evaluate technical trade-offs involving performance, accuracy, scalability, maintainability, and cost.
- ×Strong communication skills and the ability to explain complex AI/ML concepts to both technical and non-technical stakeholders.
What's great in the job?
- Great team of smart people, in a friendly and open culture
- No dumb managers, no stupid tools to use, no rigid working hours
- No waste of time in enterprise processes, real responsibilities and autonomy
- Expand your knowledge of various business industries
- Create content that will help our users on a daily basis
- Real responsibilities and challenges in a fast evolving company
What We Offer
Each employee has a chance to see the impact of his work.
You can make a real contribution to the success of the company.
Several activities are often organized all over the year, such as weekly
sports sessions, team building events, monthly drink, and much more
Perks
A full-time position
Attractive salary package.
Sport Activity
Play any sport with colleagues,
the bill is covered.
Eat & Drink
Fruit, coffee and
snacks provided.