Job Description
The Future is Now. Nexus Future Labs is seeking a visionary Senior AI/ML Architect to spearhead our 2026 roadmap. We are building the infrastructure for the next generation of intelligent systems, and we need a technical leader who can bridge the gap between theoretical research and scalable production.
In this role, you will not just follow trends; you will define them. You will be responsible for architecting the neural networks that will power our products through the decade. If you are passionate about pushing the boundaries of Generative AI, Large Language Models (LLMs), and autonomous agents, we want to hear from you.
Why join Nexus Future Labs?
- Impactful Work: Build technology that changes how humans interact with machines.
- Future-Ready: Work on cutting-edge 2026-ready tech stack before it hits the mainstream.
- Competitive Compensation: We offer top-of-market equity and salary packages.
- Remote-First Culture: Collaborate with the best minds globally.
Responsibilities
- Architect 2026-Ready AI Systems: Design and implement scalable machine learning infrastructure capable of handling millions of concurrent inference requests.
- Lead Model Development: Oversee the end-to-end lifecycle of proprietary AI models, from research and prototyping to deployment and monitoring.
- Optimize Performance: Engineer solutions that reduce latency and increase accuracy for complex NLP and computer vision tasks.
- Technical Strategy: Define the technical vision for AI integration within product roadmaps, ensuring alignment with business goals.
- Mentorship: Lead a team of junior data scientists and engineers, fostering a culture of innovation and continuous learning.
- Risk Management: Identify potential biases and security vulnerabilities in AI models and implement mitigation strategies.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 7+ years of experience in software engineering with a focus on Machine Learning and Deep Learning.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep experience with Hugging Face Transformers and LangChain.
- Infrastructure: Strong background in cloud architecture (AWS/GCP) and containerization (Docker/Kubernetes).
- Algorithmic Expertise: Solid understanding of statistical learning, neural networks, and reinforcement learning.
- Communication: Excellent ability to translate complex technical concepts into actionable business insights for stakeholders.