Job Description
Are you ready to define the future of intelligent systems? Nexus Future Tech is leading the charge on Project 2026, a groundbreaking initiative to integrate next-generation AI with quantum-ready infrastructure. We are looking for a visionary Senior AI/ML Architect to design scalable, secure, and transformative machine learning solutions that will set the industry standard for the next decade.
In this role, you will not just write code; you will architect the backbone of our future ecosystem. You will collaborate with cross-functional teams to deliver high-impact AI products that solve complex global challenges. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs), generative AI, and edge computing, this is your opportunity to shape the trajectory of technology.
Why Join Us?
- Impactful Work: Directly contribute to Project 2026, a multi-year initiative with global implications.
- Top-Tier Compensation: Competitive base salary plus performance bonuses and equity.
- Modern Stack: Work with the latest technologies, including PyTorch, TensorFlow, and Kubernetes.
- Flexible Environment: Hybrid work model supporting innovation and work-life balance.
Responsibilities
- Architectural Design: Design and implement scalable AI/ML architectures that support high-velocity development and production-grade reliability.
- R&D Leadership: Spearhead research and development efforts for Project 2026, evaluating emerging technologies and frameworks.
- Model Optimization: Lead efforts in model training, fine-tuning, and optimization to ensure low latency and high accuracy.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Strategic Planning: Define technical roadmaps and best practices for AI implementation across the organization.
- Collaboration: Partner with product managers and stakeholders to translate business requirements into technical solutions.
- Security & Compliance: Ensure all AI systems adhere to strict data privacy and security standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience).
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
- Core Skills: Proficiency in Python, C++, and deep learning frameworks (PyTorch/TensorFlow).
- Cloud Expertise: Strong experience deploying models on AWS, GCP, or Azure.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems with innovative technical solutions.
- Communication: Exceptional verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Passion: Deep interest in the future of AI and emerging tech trends.