Fetcherr experts in deep learning, algo-trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

We are looking for an Algorithm Engineer to join our team and help design, develop, and optimize data-driven algorithms for complex decision-making problems. The ideal candidate has strong analytical skills, a deep understanding of algorithmic development, and experience working with large datasets and optimization techniques.

Responsibilities

• Research, design, and develop algorithms for data-driven decision-making and optimization
• Work with large-scale datasets, developing efficient data structures and processing techniques
• Implement and optimize mathematical models, heuristics, and machine learning algorithms
• Collaborate with data scientists and engineers to integrate algorithms into production systems
• Ensure performance, scalability, and robustness of deployed algorithms
  
  

• A B.Sc. or Master’s degree in Computer Science, Mathematics, Engineering, or a related field
• 3+ years of experience in algorithm development using Python
• Strong background in data structures, algorithms, and computational complexity
• Hands-on experience with optimization techniques, graph algorithms, or statistical modeling
• Fluent with Python and libraries such as NumPy, SciPy, Pandas
• Proficiency with SQL and NoSQL databases
• Strong software engineering practices, including version control and testing
• A willingness to continuously learn and improve
  
  

• Experience with mathematical optimization (e.g., linear programming, convex optimization)
• Exposure to MLOps and cloud-based infrastructure (e.g., Kubernetes, Airflow, Dagster, Docker)
• If you’re passionate about solving complex algorithmic problems and want to work in a
• fast-paced, AI-driven environment, we'd love to hear from you!