Job Description
We are seeking a visionary Senior AI/ML Engineer to architect the intelligent systems that will define the landscape of 2026 and beyond. In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production environments, ensuring our solutions are robust, ethical, and future-proof.
At QuantumLeap Technologies, we are not just building software; we are engineering the future. If you are passionate about Generative AI, Large Language Models, and the ethical implications of autonomous systems, we want to hear from you.
Responsibilities
- Design, develop, and deploy scalable Machine Learning models and Generative AI pipelines specifically tailored for 2026-era infrastructure.
- Optimize inference latency and throughput for high-volume, low-latency applications using advanced hardware acceleration (TPU/GPU).
- Collaborate with cross-functional teams to translate complex business requirements into cutting-edge technical AI solutions.
- Implement rigorous MLOps best practices to ensure continuous integration, deployment, and monitoring of production models.
- Conduct rigorous research into emerging AI architectures to stay ahead of industry trends and maintain a competitive edge.
- Ensure data privacy, security, and compliance with global AI regulations in all implementations.
- Mentor junior engineers and contribute to the technical roadmap for AI infrastructure.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
- 5+ years of professional experience in software engineering with a heavy focus on Machine Learning and Deep Learning.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning paradigms.
- Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of shipping production-grade ML applications that have measurable business impact.
- Strong problem-solving skills and the ability to work in a fast-paced, agile environment.