Expert, Software Engineer

What will you do?

• Build, test, and deploy machine learning models that drive strategic decision-making
• Develop APIs that make AI algorithms accessible and scalable across the organization
• Automate infrastructure and processes to boost efficiency for Data Science teams
• Partner with Data Scientists and Analysts to create and refine MVPs

What are the key skills we are looking for?

• Machine Learning — intermediate level; building and optimizing models for production environments
• Machine Learning Framework — intermediate level; leveraging frameworks to accelerate model development
• Cloud Architecture — intermediate level; designing scalable infrastructure for AI deployments
• Data Preprocessing — intermediate level; preparing datasets to ensure model accuracy
• Feature Engineering — intermediate level; creating features that improve predictive performance
• Model Monitoring — intermediate level; tracking model health and performance in production
• Predictive Model Deployment — intermediate level; operationalizing models into live systems
• Programming — intermediate level; writing clean, maintainable code for AI applications

What qualifications will make you successful?

• Strong problem-solving skills with the ability to work independently in ambiguous situations
• Growth mindset that embraces challenges and continuous learning
• Customer-oriented approach that connects technical work to business outcomes
• Collaborative spirit that thrives in cross-functional, fast-paced environments