Knowledge & Experience

• Understands basic AI/ML concepts and algorithms.
• Familiar with data preprocessing techniques.
• Able to use popular AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Team Capability (Tested by ProDevs)

• Completes basic AI tasks effectively.
• Communicates project status and issues clearly.
• Takes ownership of learning new AI tools and practices.

Knowledge & Experience (Portfolio)

• Proficient in implementing machine learning models from scratch.
• Understands core concepts of supervised and unsupervised learning
• Familiar with cloud-based AI services (e.g., AWS Sagemaker, Azure ML).

Team Capability (Tested by ProDevs)

• Collaborates with data engineers to ensure quality data inputs.
• Proactively identifies model improvements.
• Balances research and implementation tasks effectively.

Knowledge & Experience

• Experienced in deep learning frameworks (e.g., TensorFlow, PyTorch)..
• Capable of building NLP and computer vision models.
• Familiar with MLOps practices for continuous deployment.

Team Capability (Tested by ProDevs)

• Owns end-to-end AI solutions for small features.
• Communicates technical issues and solutions clearly.
• Participates in code reviews from a AI perspective

Knowledge & Experience

• Deep knowledge of neural networks and optimization techniques.
• Understands advanced AI topics such as reinforcement learning.
• Able to deploy models in production environments.

Team Capability (Tested by ProDevs)

• Translates AI requirements into actionable tasks.
• Coordinates with non-technical team members to explain AI models and results.
• Identifies gaps in AI processes and suggests improvements.

Knowledge & Experience

• Expert in AI model optimization and performance tuning.
• Understands ethical AI practices and bias mitigation.
• Strong knowledge of distributed AI systems.

Team Capability (Tested by ProDevs)

• Identifies potential risks in AI strategies.
• Leads AI initiatives and mentors junior team members.
• Builds and maintains a culture of innovation within the AI team.

Knowledge & Experience

• Expert in multiple AI domains (e.g., NLP, computer vision, generative models).
• Capable of architecting large-scale AI systems.
• Familiar with state-of-the-art AI research and applying it to practical solutions.

Team Capability (Tested by ProDevs)

• Provides technical leadership in AI processes.
• Mentors and develops future AI leaders.
• Drives continuous improvement and innovation in AI practices.