Job Description:
- Lead AI-related projects, defining project scope, objectives, timelines, and deliverables.
- Design, develop, and implement cutting-edge machine learning models and AI algorithms to address complex business challenges and enhance AI-driven applications.
- Collect, clean, preprocess, and analyze large datasets to prepare them for training and testing machine learning models.
- Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks.
- Perform feature engineering and selection to improve model accuracy and efficiency.
- Integrate AI models into existing systems and applications, ensuring seamless operation and functionality.
- Monitor the performance of deployed AI models, analyzing their accuracy, efficiency, and scalability.
- Integrate machine learning models into existing systems, applications, or services to enable AI-driven functionalities.
- Experiment with and deploy various machine learning frameworks and libraries to create robust AI solutions.
- Troubleshoot and refine models to enhance their performance and resolve any issues.
- Document the development process, methodologies, and performance metrics of AI models.
- Create reports and visualizations to communicate findings, progress, and results to stakeholders.
- Stay updated with the latest advancements in AI and machine learning research.
- Conduct research to develop new algorithms and techniques that can enhance the performance and capabilities of AI models.
- Conduct cutting-edge research to develop innovative AI algorithms that push the boundaries of what is possible in AI and machine learning.
Requirement:
- Bachelor’s degree in computer science or another related field; A master’s degree is preferable
- Min 3 years of working experience in computer science, data science, software development, or another related field;
- Proficient in common programming languages used in AI, such as Python, Java, C++, and R
- Experience in building and deploying machine learning models.
- Advanced knowledge of statistical, algorithmic, and fundamental mathematical concepts
- Experience working with large data sets
- Previous experience in AI or machine learning projects is a plus.
