Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.

We are seeking an exceptional AI Data Team Lead to guide and scale the development and operational excellence of our Large Market Model (LMM). You will be a player-coach, combining deep technical ownership of the core AI systems with the responsibility of mentoring and leading a team of talented AI Data Engineers. You will set the technical vision for data and modeling pipelines, ensuring they are architected, engineered, and maintained to transform raw information into predictive intelligence at scale, all while instilling rigorous software development and MLOps practices across the team.

What You'll Do (Key Responsibilities):

• Team Leadership & Mentorship: Lead, mentor, and grow a team of AI Data Engineers. Set technical standards, drive project planning, manage team priorities, and foster a culture of technical excellence and ownership.
• Strategic Pipeline Architecture: Define the long-term architectural roadmap for robust, scalable data pipelines that ingest, integrate, and fuel our LMM. Oversee the successful execution of this roadmap by the team.
• Advanced Feature Strategy: Direct the team's efforts in conceptualizing and implementing sophisticated feature engineering strategies, collaborating closely with Data Scientists and domain experts to translate complex market dynamics into predictive signals.
• Drive Innovation: Champion continuous research and experimentation with new technologies in data engineering, distributed computing, MLOps, and model optimization to maintain the LMM's competitive edge.

Requirements:

What You'll Bring:

• A proactive, ownership-driven mindset with excellent problem-solving, communication, and people leadership skills.
• A B.Sc. or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• A minimum of 5 years of commercial experience building production-level AI data pipelines systems, with at least 3 years in a technical lead or team management capacity.
• Expert-level proficiency in Python and its data science/machine learning ecosystem (e.g., Pandas, Scikit-learn).

Bonus Points:

• Experience in the aviation or a related high-frequency, dynamic pricing industry.
• Active contributions to open-source projects in the data or ML space.