Network Optimization & AI/ML Engineer, IRIS2
Tasks
- Analyze trade offs across latency throughput availability fairness
- Apply machine learning for traffic prediction
- Build evaluation pipelines for optimization strategies
- Define objective functions constraints metrics data requirements
- Detect anomalies and mitigate failures
- Develop algorithms for dynamic satellite network scenarios
- Document mathematical models performance results and implementation guidance
- Formulate optimization problems for routing path selection
- Integrate algorithms into simulation and control workflows
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | CPLEX | Combinatorial Optimization | Convex Optimization | Data Requirements | Distributed Network | Distributed Network Control | Experimental Design | Graph theory | Gurobi | Heuristics | Integer Programming | Linear Programming | Machine Learning | Metaheuristics | Network Control | Network flow | NumPy | OR-Tools | Optimization | Performance Modeling | PyTorch | Python | Queueing Theory | Reinforcement Learning | Routing Algorithms | SDN | Satellite Communications | SciPy | Series forecasting | Stochastic Processes | TensorFlow | Time Series | Time Series Forecasting | Traffic Engineering
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
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