Solution Architect

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.

Position Overview:

Fetcherr is seeking a Solution Architect who will be responsible for designing and overseeing the technical vision of our ML-based pricing solutions. You'll analyze business requirements, create architectural designs, and ensure seamless integration between our ML models and client systems. This role requires both deep technical expertise and strong business acumen to deliver scalable solutions that solve complex pricing challenges for our airline partners.

Key Responsibilities:

• Design high-level solution architectures that integrate our ML models between development teams and with client systems
• Lead technical discovery sessions and create detailed implementation roadmaps
• Troubleshoot and resolve pricing anomalies through ML model analysis
• Drive technical decisions while collaborating with Project Managers, Product teams, and Developers
• Ensure solutions meet performance, scalability, and security requirements
• Provide technical consultation and maintain strong client relationships
• Track model performance and tailor solutions to improve performance based on client feedback
  
  

• Strong analytical and problem-solving skills
• Experience with Python development for data science
• Proficiency in database technologies (SQL, BigQuery, ClickHouse)
• Cloud platform expertise (AWS/Azure/GCP)
• Understanding of ML systems architecture
• Experience in cross-platform system integration
• Knowledge of enterprise architecture principles
• API design and integration patterns expertise
• Experience with real-time data processing systems
• Demonstrated ability to translate business requirements into technical solutions
  
  

• Experience leading technical teams
• Knowledge of microservices architecture
• Familiarity with DevOps practices and tools