Expert Optimization Leader in Airline Industry

5 days ago


Remote, Czech Republic AVENGA Full time

**About the Role**

We are seeking a seasoned Optimization Engineer to join our team at Avenga, where you will leverage your expertise in data analysis and machine learning to drive business growth and operational efficiency.

As a key member of our team, you will work closely with cross-functional teams to identify opportunities for leveraging data to deliver actionable insights and predict customer behavior. Your strong analytical skills and experience with optimization software will enable you to translate business questions into data analysis and models, define suitable KPIs, and present results to stakeholders.

**Key Responsibilities**

  • Develop and implement advanced optimization algorithms and models to solve complex business problems.
  • Leverage commercial solvers like CPLEX or Gurobi and work on their continuous performance improvement and business enhancements.
  • Collaborate with software engineers to implement and test production-quality code for AI/ML models.
  • Develop processes and tools to monitor and analyze data accuracy and models' performance.

**Requirements**

  • Advanced degree in Statistics, Operations Research, Computer Science, Mathematics, or Machine Learning.
  • Proven ability to apply modeling and analytical skills to real-world problems.
  • Proficiency with solving large-scale optimization using decomposition algorithms and other advanced OR techniques for linear and non-linear optimization.
  • Software development experience with proven record of developing complex algorithms.
  • Must have: Proficiency in optimization solvers (CPLEX, Gurobi) for LP/IP.
  • Must have: Advanced knowledge of C++, Java, and associated development tools.
  • Experience with deployment of machine learning on a cloud, including MLOps within the enterprise CI/CD process for ML models, deploying ML APIs in production environments in GCP using GKE, and utilizing GCP Vertex AI for ML and BigQuery.
  • Knowledge in Terraform and Containers technologies.
  • Experience writing data processing jobs using GCP Dataflow and Dataproc.
  • Experience setting up ML model monitoring and autoscaling for ML prediction jobs.
  • Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry, and Analytics Hub.

**What We Offer**

  • A dynamic and innovative work environment that fosters collaboration and growth.
  • The opportunity to work with cutting-edge technologies and contribute to meaningful projects.
  • A competitive compensation package and benefits.
  • The chance to be part of a talented team that is passionate about making a difference in the airline industry.


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