Job Description
Join Nexus Innovations at the forefront of technological evolution as we build the AI-driven future. We seek a visionary AI/ML Engineer to architect intelligent systems that will redefine industries by 2026. You'll collaborate with world-class researchers to transform theoretical models into scalable solutions while shaping our next-gen tech roadmap. This role offers unparalleled growth in an environment where your innovations directly impact global markets.
Our culture thrives on curiosity and bold experimentation, offering competitive equity, flexible work arrangements, and dedicated R&D time. Help us pioneer the next wave of autonomous systems and predictive analytics that will power the decade ahead.
Responsibilities
- Design and implement scalable ML pipelines for real-time data processing at petabyte scale
- Architect neural networks for autonomous systems using PyTorch/TensorFlow
- Develop production-grade MLOps infrastructure for model deployment and monitoring
- Collaborate with quantum computing teams to hybridize classical and quantum ML models
- Lead research initiatives in explainable AI and ethical algorithm development
- Mentor junior engineers while establishing new industry benchmarks for 2026 tech standards
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years ML engineering experience
- Expertise in distributed computing (Spark, Kubernetes) and GPU optimization
- Proven track record deploying production ML systems handling >10M daily transactions
- Published research in NeurIPS/ICML or equivalent conference preferred
- Strong background in reinforcement learning for complex decision systems
- Familiarity with emerging AI paradigms: federated learning, neuromorphic computing
- Ability to translate business requirements into technical roadmaps for 2026 readiness