Algorithm Engineer

3 days ago

Netanya Center District, Israel Fetcherr Full time $90,000 - $120,000 per year

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

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

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