remote
Associate Principal Engineer, Machine Learning
ML Engineer
Lead the design and implementation of advanced machine learning solutions, focusing on computer vision, deep learning, and adversarial network techniques while orchestrating intelligent agents for scalable AI systems.
About the role
Key Responsibilities
- Architect and develop end‑to‑end machine learning pipelines for computer vision and deep learning applications.
- Design, train, and evaluate adversarial network models to improve robustness and performance.
- Build and manage agent orchestration frameworks that coordinate AI components at scale.
- Collaborate with cross‑functional teams to integrate ML solutions into production systems.
- Mentor junior engineers and drive best practices in code quality, testing, and documentation.
Requirements
- 5+ years of professional experience in machine learning, deep learning, and computer vision.
- Strong proficiency in Python and ML libraries such as TensorFlow or PyTorch.
- Hands‑on experience with adversarial training techniques and model robustness.
- Proven ability to design and implement agent orchestration or workflow automation systems.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
Skills
machine learningdeep learningcomputer visionpython