Applied Scientist
Specright Inc.
- Cairo
- Permanent
- Full-time
- Research and evaluate emerging AI/ML tools and methodologies to assess their applicability and value within Specright's SaaS platform.
- Translate academic research and industry trends into innovative, real-world solutions that address key business and customer challenges.
- Design, implement, and optimize models, algorithms, and simulations to enhance performance across supply chain and specification management workflows.
- Analyze large, complex datasets to uncover patterns, generate actionable insights, and produce intuitive visualizations that drive strategic decisions.
- Collaborate closely with cross-functional teams-including Product and Engineering-to integrate scientific solutions into scalable production systems.
- Write clean, maintainable, and efficient code to operationalize models and algorithms within Specright's cloud infrastructure.
- Measure and communicate the business impact of scientific solutions to inform prioritization, product strategy, and stakeholder alignment.
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field
- Demonstrated ability to translate academic research and emerging AI/ML techniques into real-world, production-ready solutions
- Hands-on experience developing and deploying scalable machine learning models
- Proficient in working with large, complex datasets to extract insights and drive decision-making
- Proficiency in Python (or similar languages), with experience using modern AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Strong analytical and problem-solving skills, with a track record of delivering creative and practical solutions
- Effective communicator and collaborative team player, comfortable working across technical and non-technical stakeholders
- Master's or Ph.D degree in Computer Science, Machine Learning, Data Science, or a related field
- Experience with developing, deploying, and maintaining AI/ML models in cloud-based environments such as AWS
- Experience working with LLMs
- Competitive salaries
- Flexible work hours
- Full benefits package that includes Medical, Vision, and Dental