Job Description
We are Nexus Future Labs, a pioneer in next-generation AI solutions, looking for a visionary Senior AI & Machine Learning Architect to lead our 2026 roadmap. In this pivotal role, you will define the architectural blueprints for scalable, ethical, and high-performance AI systems that will redefine industries in the coming years.
About You: You don't just build models; you build ecosystems. You thrive on solving complex problems and have a deep understanding of the trajectory of AI technology leading up to 2026 and beyond.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Models (LLMs).
- Competitive equity package and remote-first flexibility.
- Access to top-tier computing resources and research data.
Responsibilities
- Architectural Leadership: Design and implement robust, scalable ML infrastructure to support enterprise-grade applications.
- 2026 Roadmap Strategy: Collaborate with the CTO to define technical strategies and research directions for the next 5 years.
- Model Optimization: Lead initiatives to optimize model performance, reduce latency, and improve inference speeds.
- Responsible AI: Implement governance frameworks to ensure AI systems are fair, transparent, and bias-free.
- Team Mentorship: Mentor junior data scientists and engineers, fostering a culture of continuous learning and innovation.
- Cloud Integration: Oversee the deployment and management of models on major cloud platforms (AWS, GCP, Azure).
Qualifications
- Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
- Experience: 5+ years of experience in designing and deploying production-level Machine Learning systems.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of Deep Learning architectures.
- System Design: Experience with distributed systems, microservices, and containerization (Docker, Kubernetes).
- Cloud Expertise: Proven track record of deploying models on cloud environments and managing data pipelines.
- Soft Skills: Exceptional communication skills and the ability to translate technical concepts to non-technical stakeholders.