Job Description
We are on the brink of a technological revolution. As we look toward 2026, QuantumLeap Dynamics is seeking a visionary Lead AI Engineer to architect the neural networks of tomorrow. This is a rare opportunity to define the infrastructure that will power the next generation of intelligent systems.
In this role, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our solutions are robust, ethical, and future-proof.
Responsibilities
- Architect and implement scalable machine learning infrastructure designed for 2026 workloads.
- Lead the technical roadmap for integrating Generative AI and predictive modeling into core products.
- Optimize deep learning models for edge computing and real-time processing.
- Mentor a team of junior engineers and data scientists, fostering a culture of innovation.
- Collaborate with product teams to translate abstract AI concepts into tangible user experiences.
- Ensure data privacy, security, and ethical AI compliance across all models.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 7+ years of experience in machine learning, deep learning, or AI research.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Proven track record of deploying large-scale AI systems in production environments.
- Strong understanding of distributed systems and cloud architecture (AWS/Azure/GCP).
- Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.