About The YellowIpe
Our mission is to inspire the connection between technology and people, we foster the best of our professionals through our expertise in finding and attracting the best talent for the best projects. The Focus on People, Collaboration and Commitment are the pillars that guide us in this trajectory.
Join the yellow team as our new Machine Learning Engineer!
Required Competencies :
- Strong knowledge of Operations Research (OR) and Mathematical Optimization techniques.
- Experience with Mixed-Integer Linear Programming (MILP) and constraint-based optimization.
- Practical experience with solvers and tools, both open-source and commercial, such as OR-Tools, Gurobi, CPLEX, or Pyomo.
- Advanced proficiency in Python programming, with a focus on writing efficient and production-ready code.
- Experience in handling large-scale computations efficiently in distributed systems or the cloud.
Nice to have :
Knowledge of stochastic optimization and heuristic / metaheuristic approaches (Simulated Annealing, Genetic Algorithms).Exposure to machine learning for demand forecasting.Experience in building and deploying microservices in a production environment.Experience with REST APIs, message-driven architectures (Azure Service Bus, RabbitMQ, or Kafka).Knowledge of PostgreSQL or other relational databases.Experience with Docker & Kubernetes for containerized deployments.Understanding of failure handling & retries in asynchronous systems.Responsibilities :
Implement a comprehensive mathematical model that captures all constraints and optimization goals.Select and justify the best optimization solver based on performance, cost, and business needs.Deliver a fully functional solver.Provide performance benchmarks and ensure that the solver can handle real-world complexity.Importante informations :
Please note that this is a part-time job. In the consulting area, you would work approximatelly 10 hours per month, and on the implementation part, you would work up to full-time. This project will last between 1-3 months.Apply for this opportunity in our ! =)