Job Description
The Future is Now. QuantumLeap Technologies is pioneering the Project 2026 initiative, a cutting-edge AI ecosystem designed to redefine human-machine interaction. We are seeking a visionary Lead AI Engineer to architect scalable, high-performance machine learning systems that will power our platform through the decade ahead.
In this pivotal role, you will lead a team of data scientists and engineers in building the infrastructure for autonomous decision-making. If you are passionate about pushing the boundaries of generative AI, computer vision, and predictive analytics, we want to hear from you.
Why Join Us?
- Work on mission-critical AI infrastructure.
- Competitive compensation and equity packages.
- Flexible remote-first culture with top-tier benefits.
Responsibilities
- Architectural Leadership: Design and implement scalable ML pipelines and cloud infrastructure using AWS or GCP.
- Model Optimization: Lead the research and development of state-of-the-art deep learning models to improve accuracy and reduce latency.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Project 2026 Roadmap: Define technical roadmaps and best practices for the upcoming 2026 release cycle.
- Collaboration: Partner with product managers and stakeholders to translate business requirements into technical solutions.
- Production Deployment: Oversee the deployment, monitoring, and maintenance of models in production environments.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Experience: 7+ years of experience in software engineering, with at least 3+ years in machine learning engineering.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Cloud Expertise: Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
- Problem Solving: Demonstrated ability to solve complex technical challenges and optimize system performance.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.