Artificial Intelligence Engineer

• AI Solution Development: Design and develop AI and machine learning solutions to address business challenges and enhance operational processes.
• Automation Design and Implementation: Develop and implement automation solutions to streamline repetitive tasks and improve overall efficiency.
• Data Integration: Integrate AI models and automation processes with existing data infrastructure and systems.
• Collaboration: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and implement effective solutions.
• Algorithm Optimization: Optimize and fine-tune algorithms to ensure optimal performance and accuracy of AI models.
• Continuous Improvement: Stay current with advancements in AI and automation technologies, and contribute to the continuous improvement of existing systems.
• Testing and Validation: Conduct testing and validation of AI models and automation processes to ensure reliability and robustness.
• Documentation: Maintain detailed documentation of AI models, algorithms, and automation processes for knowledge transfer and future reference.

Skills & Background

• Strong programming skills, proficiency in languages Python, R and JavaScript, NodeJS, html, C++
• Experience in developing and deploying machine learning models.
• Knowledge of AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
• Expertise in automation tools and frameworks.
• Familiarity with data integration and database management.
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.