Job Description
Are you ready to shape the technological landscape of 2026? Quantum Leap Dynamics is seeking a visionary Senior AI/ML Architect to lead our next-generation generative AI initiatives.
We are at the forefront of the AI revolution, building systems that will define the future of autonomous computing. In this role, you will not just implement existing models; you will architect the infrastructure for the intelligent agents of tomorrow.
Why Join Us?
- Work on cutting-edge projects with a high-impact mission.
- Competitive compensation package and equity options.
- Flexible remote-first culture with state-of-the-art equipment.
We are looking for a strategic thinker who can bridge the gap between theoretical research and production-grade engineering.
Responsibilities
- Design and deploy scalable machine learning pipelines for Large Language Models (LLMs) and multimodal AI agents.
- Lead a high-performance team of data scientists and engineers in the research and development of next-gen AI systems.
- Collaborate closely with product and engineering stakeholders to translate business objectives into robust AI technical solutions.
- Ensure ethical AI practices, mitigate model bias, and establish governance frameworks for AI deployment.
- Optimize model inference speed and significantly reduce computational costs in production environments.
- Mentor junior developers and conduct code reviews to maintain high engineering standards.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specializing in Machine Learning and Deep Learning.
- Expert proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
- Proven track record of leading cross-functional engineering teams and delivering complex AI products.
- Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Experience with MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines.