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 seeking a Team Leader to lead and mentor a team of engineers and data scientists. You’ll guide the team building end to end features as part of our pricing and market forecasting systems, shaping how AI transforms the aviation industry and beyond. This role blends leadership with technical expertise to drive the development of innovative and scalable algorithmic solutions

.Key Responsibilitie

• sLead and mentor a multidisciplinary team of engineers and data scientists – setting goals, coaching, and growing career
• sOwn the roadmap for algorithmic development, balancing long-term innovation with short-term business need
• sDrive cross-functional collaboration with Product, Engineering, and Business stakeholders to ensure alignment and deliver
• yShape team culture – foster technical excellence, psychological safety, continuous learning, and accountabilit
• yRepresent the team to leadership and external stakeholders, communicating progress, risks, and impac
• tProvide hands-on technical guidance in algorithms, optimization, and large-scale data processin
• gReview designs, prototypes, and code to ensure robustness, scalability, and performanc
• eStay engaged with research and industry trends to keep algorithms state-of-the-ar

t
You’ll Be a Great Fit if You Hav

• e…5+ years of experience in production algorithm or machine learning development, with 2+ years in a leadership ro
• leProven ability to manage and grow agile cross-functional teams delivering impactful solutio
• nsStrong background in data structures, algorithms, and computational complexi
• tyProficiency in Python and libraries such as NumPy, SciPy, and Pand
• asSolid software engineering practices: code reviews, testing, and version contr
• olExcellent communication skills to bridge between technical and non-technical stakeholde
• rsGoal and KPI driven approach for managing tea

msNice to Ha

• veExperience with mathematical optimization (linear programming, convex optimizatio
• n)Exposure to MLOps and cloud infrastructure (Docker, Kubernetes, Airflo
• w)Background in pricing, revenue management, or demand forecasti