- Collaborate with cross-functional teams to identify business requirements and design AI solutions that address specific needs.
- Evaluate and integrate third-party APIs, libraries, and platforms to enhance AI capabilities.
- Build and train machine learning models.
- Evaluate and improve existing AI models.
- Develop and implement end-to-end AI projects, from requirements to deployment, ensuring seamless integration with existing systems and applications or develop new AI-driven applications.
- Conduct thorough testing and debugging of AI models and systems to ensure high reliability and performance.
- Report to team lead and align to team objectives and technology guidelines.
- Collaborate with other Systems Analyst to integrate AI into our applications.
- Bachelor’s degree in computer science, Information Technology, Information Systems, Info-communications, or equivalent.
- Strong programming skills in languages such as Python, Java, or C#, along with expertise in AI frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with LLM, cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services, such as Amazon SageMaker, Azure Machine Learning, or Google Cloud AI, to deploy and manage AI models will be an extra benefit.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and teamwork skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
- Strong interest in learning new technologies and staying updated with industry advancements.
- Ability to adapt to changes in technology, industry trends, and project requirements.