Senior AI/ML Engineer

Design, develop, and implement machine learning models to solve real-world business problems.

Develop and optimize AI/ML algorithms for accuracy, scalability, performance, and reliability.

Analyze complex datasets to identify patterns, trends, and actionable insights.

Build, train, evaluate, and fine-tune machine learning models using appropriate algorithms and techniques.

Develop AI-powered applications and integrate machine learning capabilities into existing software systems.

Take AI/ML proof-of-concepts from initial development through production implementation.

Perform data preprocessing, feature engineering, model selection, and hyperparameter tuning.

Evaluate model performance using appropriate metrics and continuously improve model accuracy.

Develop scalable and maintainable AI/ML solutions aligned with business and technical requirements.

Collaborate with software engineers, data engineers, architects, product teams, and business stakeholders to integrate AI/ML solutions into enterprise applications.

Work with structured and unstructured data to develop effective machine learning solutions.

Implement model deployment, monitoring, and performance optimization practices for production environments.

Troubleshoot model performance issues and conduct root-cause analysis to improve solution effectiveness.

Research and evaluate emerging AI/ML technologies, algorithms, frameworks, and industry best practices.

Ensure the reliability, scalability, maintainability, and quality of developed AI/ML solutions.

Follow established software development standards, coding guidelines, testing practices, and engineering best practices.

Participate in code reviews, technical discussions, and solution design activities.

• Take ownership of assigned development activities and ensure timely, high-quality delivery.