Job Description
Join QuantumLeap Technologies at the forefront of technological evolution as we build the AI infrastructure for 2026. We're seeking visionary engineers to architect next-generation machine learning systems that will redefine industries. Our cross-functional teams collaborate in state-of-the-art labs to solve complex challenges in autonomous systems, predictive analytics, and ethical AI implementation. This role offers unparalleled growth opportunities and the chance to shape humanity's technological future.
Responsibilities
- Design and implement scalable ML pipelines for real-world predictive models
- Lead development of ethical AI frameworks ensuring bias mitigation and transparency
- Collaborate with quantum computing specialists to hybridize classical/quantum algorithms
- Architect neural networks for multimodal data processing (text, image, sensor fusion)
- Optimize model inference for edge deployment in autonomous systems
- Drive innovation in federated learning and privacy-preserving AI techniques
- Mentor junior engineers and conduct technical reviews for code excellence
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed computing frameworks (Ray, Dask)
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
- Proficiency in MLOps tools (MLflow, Kubeflow, Airflow)
- Strong background in ethical AI and responsible ML practices
- Experience with quantum programming (Qiskit, Cirq) is highly desirable
- Track record of deploying production ML systems serving 10M+ users
- Excellent communication skills for cross-functional stakeholder alignment