RITM0345820-Solution Architect

Gurgaon - India

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Real-time monitoring of prediction accuracy optimization outcomes and business KPIs Deploy models as containerized microservices with scalable APIs for real-time pricing and availability decisions. 5. Strategic Collaboration & Leadership Partner with RM analysts and business stakeholders to translate domain requirements into scalable optimization and ML solutions. Lead cross-functional squads of data scientists ML engineers and digital engineers. Mentor teams in optimization modeling ML best practices and scalable architecture. Act as an evangelist for science-driven decision-making in RM across the organization. 6. Performance & Scalability Design platforms to handle billions of pricing and availability decisions daily across 4000 flights and 200000 itineraries. Optimize architecture for low-latency inference high throughput and fault tolerance. Ensure models and pipelines are production-grade resilient and business-critical. Required Skills & Experience Technical Expertise 10 years in data science optimization or applied AI with at least 3 in architectural roles. Deep hands-on expertise in: o Linear Programming (LP) Mixed Integer Programming (MIP) and network optimization o Demand forecasting elasticity modeling dynamic pricing reinforcement learning o ML frameworks: Python SQL TensorFlow PyTorch Scikit-learn XGBoost o Optimization solvers: Gurobi CPLEX OR-Tools Pyomo PuLP o Pipeline orchestration & MLOps: CI/CD model versioning monitoring retraining Strong experience with cloud-native architectures (data lakes microservices containers streaming pipelines). Ability to code prototype and productionize optimization and ML models (hands-on architect). Architectural Skills Proven experience in designing scalable cloud-native ML/optimization platforms. Expertise in microservices API-first design container orchestration (Kubernetes). Knowledge of real-time decisioning systems with low latency. Domain Knowledge (Preferred) Prior experience in airline RM pricing or transportation analytics is highly desirable. Familiarity with PSS systems (e.g. Navitaire) Kambr ATPCO fare structures and NDC retailing a plus. Leadership & Communication Ability to lead technical teams while being a hands-on contributor. Strong skills in articulating complex optimization/ML architectures to both technical and business audiences. Track record of cross-functional collaboration across business engineering and science teams. Preferred Qualifications Masters or Ph.D. in Operations Research Applied Mathematics Data Science or Computer Science. Certifications in cloud platforms (AWS GCP or Azure). Contributions to optimization/ML communities (AGIFORS INFORMS IATA AI/OR conferences).