Job Description
We are pioneering the future of intelligent systems and are seeking a visionary Senior AI/ML Architect to join our elite team. As we gear up for our 2026 roadmap, you will play a pivotal role in designing the infrastructure that will define the next generation of human-computer interaction. This is not just a job; it is a chance to shape the technological landscape of tomorrow.
In this high-impact role, you will bridge the gap between theoretical research and scalable production systems. We value curiosity, deep technical expertise, and the ability to think several steps ahead. If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence, we want to hear from you.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable machine learning infrastructure tailored for the 2026 technological landscape, focusing on autonomous agents and generative models.
- Model Optimization: Lead initiatives to optimize model inference speeds and reduce latency in real-time applications using cutting-edge edge computing techniques.
- Research & Development: Collaborate with our R&D team to explore novel algorithms and evaluate emerging technologies before they hit the mainstream market.
- Team Leadership: Mentor a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
- Strategic Planning: Translate complex business requirements into robust technical architectures, ensuring alignment with our long-term 2026 vision.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of professional experience in machine learning engineering, with at least 3 years in a senior architectural role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
- Specialization: Proven track record working with Large Language Models (LLMs), Computer Vision, or Reinforcement Learning.
- Problem Solving: Exceptional ability to debug complex, multi-system architectures and provide scalable solutions to high-volume problems.
- Communication: Strong written and verbal communication skills, capable of presenting technical concepts to non-technical stakeholders.