Fetcherr

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Description Fetcherr experts in deep learning, 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 Requirements You'll be a great fit if you have... 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 A B.Sc. or Master’s degree in Computer Science, Mathematics, Engineering, or a related field Nice to have: 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!