Development and evaluation of advanced AI systems that replicate real-world engineering and data science workflows.
Requirements
- 2+ years of experience in machine learning, deep learning, or large-scale AI systems.
- Proficiency with frameworks such as TensorFlow or PyTorch, along with model evaluation techniques.
- Strong understanding of large-scale data processing, training pipelines, and optimization strategies.
Responsibilities
- Evaluate AI-generated machine learning outputs for quality, accuracy, and business alignment.
- Calibrate decision-making processes for tasks such as model training, performance optimization, and pipeline evaluation.
- Design, build, and refine machine learning models and large-scale data pipelines.
- Collaborate with researchers and engineers to improve architectures, training strategies, and deployment methods.
Other
- Bachelor’s degree in Computer Science, Machine Learning, Data Science, or related field; advanced degrees (MSc, PhD) are a plus.
- Excellent analytical, critical thinking, and communication skills, with the ability to simplify complex workflows into clear insights.
- Fully remote, asynchronous, flexible schedule.
- Complete a short AI interview.
- Participate in a paid 3-hour work trial to demonstrate your ability to interpret guidelines and deliver ML-specific outputs.
