Associate AI Engineer - R&D

As an Associate AI Engineer at 9D Technologies, you'll explore emerging AI technologies, analyze trends, and collaborate with product teams to integrate AI features into apps and games. Your responsibilities will also include conducting deep dives into AI tools, supporting prototyping of AI models, and identifying automation opportunities within workflows.

To qualify for the Associate AI Engineer position at 9D Technologies, you should have a Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Additionally, 0-2 years of experience in AI/ML engineering or research, along with proficiency in programming languages like Python or Java, is essential.

Desired skills for the Associate AI Engineer position at 9D Technologies include familiarity with AI in gaming, exposure to AI-driven automation tools, and understanding machine learning algorithms. Knowledge of cloud platforms and automation tools will also benefit your application.

At 9D Technologies, we prioritize your growth by providing opportunities to collaborate with experienced professionals, participate in brainstorming sessions, and stay updated with the latest AI research and best practices. You'll be encouraged to independently research and integrate innovative solutions into our projects.

As an Associate AI Engineer at 9D Technologies, you'll enjoy competitive salary packages, family health insurance, paid time off, work-life balance, daily lunch, and access to our in-house gym, making sure you stay healthy and happy while you innovate.

In your response, highlight a specific project that demonstrates your understanding of AI. Describe your role, the technologies used, and the outcomes, emphasizing your contributions and any challenges you overcame.

Discuss your strategies for staying updated, such as following AI research journals, participating in webinars, or engaging with online communities. Mention how you’ve applied new knowledge to projects in the past.

Be specific about your experience with frameworks like TensorFlow or PyTorch. Provide examples of projects where you've utilized these tools and your understanding of their features and limitations.

Share a specific instance where you worked with diverse professionals, detailing your role in the collaboration, communication strategies, and how your contributions helped achieve project goals.

Explain your research process, including leveraging academic papers, online courses, or industry conferences. Emphasize your analytical skills and how you evaluate the practicality of new tools.

Discuss any projects involving AI technologies in gaming, such as improving game mechanics or user interactions. Share your insights and the impact your work had on player experiences.

Outline your plan for creating a proof-of-concept model, including identifying workflows for automation, selecting the right tools, and evaluating effectiveness through testing and feedback.

Identify common challenges such as data quality and biases, scalability, and performance issues. Discuss strategies you would employ to address these challenges effectively.

Provide a brief overview of key algorithms like linear regression, decision trees, and neural networks. Emphasize your familiarity with their applications and strengths in different scenarios.

Discuss your approach to using AI for personalization, such as leveraging user data to tailor content, recommendations, or game mechanics to enhance player engagement and satisfaction.