Job Description
Are you ready to define the technological landscape of 2026?
Nexus Future Labs is seeking a visionary Senior AI/ML Engineer to lead our initiatives in Generative AI and Autonomous Systems. As we race toward the future, we are building the infrastructure that will power the next decade of human-machine interaction. You will not just be maintaining systems; you will be architecting the core intelligence of our products.
In this role, you will work at the intersection of theoretical mathematics and practical engineering, pushing the boundaries of Large Language Models (LLMs) and predictive analytics.
Responsibilities
- Architect Scalable AI Systems: Design and deploy state-of-the-art deep learning models capable of handling petabyte-scale data streams.
- Optimize Inference Latency: Engineer high-performance inference pipelines ensuring real-time response times for critical applications.
- Lead Research & Development: Experiment with cutting-edge architectures (e.g., Transformers, Diffusion Models) and publish findings to drive the industry forward.
- Ethical AI Governance: Implement fairness, accountability, and transparency frameworks to ensure responsible AI deployment.
- Mentorship: Guide a team of brilliant engineers and researchers, fostering a culture of continuous learning and innovation.
- Collaboration: Partner with product managers and designers to translate complex technical concepts into user-centric solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Experience: 5+ years of professional experience in building production-grade machine learning systems.
- Modeling: Deep understanding of statistical modeling, neural networks, and reinforcement learning algorithms.
- Problem Solving: Demonstrated ability to tackle complex, ambiguous problems with innovative solutions.
- Communication: Excellent verbal and written skills for technical documentation and stakeholder presentations.