Job Description
Are you ready to define the technological landscape of 2026? Nexus Future Labs is seeking a visionary Senior AI/ML Architect to lead our cutting-edge research and deployment initiatives.
In this pivotal role, you will not just build models; you will architect the future of intelligent systems. We are looking for a thought leader capable of navigating the complexities of Generative AI, Large Language Models (LLMs), and Quantum-ready algorithms. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to shape the roadmap for the year 2026, we want to meet you.
Why Join Us?
- Work with a team of elite engineers and researchers.
- Access to state-of-the-art computing infrastructure and quantum resources.
- Competitive compensation package and equity options.
- Remote-first culture with a focus on innovation.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable, robust machine learning architectures for large-scale production environments.
- Lead Research & Development: Spearhead research into emerging AI paradigms, including LLM fine-tuning, reinforcement learning, and ethical AI frameworks.
- Model Optimization: Drive initiatives to reduce inference latency and improve model accuracy, ensuring our solutions are ready for the high-speed demands of 2026.
- Technical Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Strategic Roadmap: Collaborate with product leadership to define the technical vision and long-term strategy for AI integration.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI engineering.
- Technical Proficiency: Expert knowledge of Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
- Model Architecture: Proven track record of designing and deploying complex models, specifically in NLP or Computer Vision.
- Problem Solving: Exceptional ability to solve ambiguous problems and translate business requirements into technical solutions.