Job Description
We are looking for a visionary Senior AI/ML Engineer to join NexusFuture Systems and help define the technological landscape for the year 2026. In this pivotal role, you will architect and deploy scalable artificial intelligence solutions that power our next-generation products. You will work at the intersection of research and production, utilizing state-of-the-art deep learning techniques to solve complex, real-world challenges.
Key Highlights:
- Future-Forward Environment: Be part of a team that is not just adapting to change but driving it.
- Competitive Compensation: Base salary of $180k-$260k plus performance bonuses and equity.
- Global Impact: Your models will be utilized by millions, improving efficiency and decision-making worldwide.
Responsibilities
- Model Architecture: Design, train, and fine-tune advanced deep learning models, including Large Language Models (LLMs) and Computer Vision algorithms, specifically tailored for high-volume deployment.
- Infrastructure Optimization: Build and maintain robust, low-latency inference pipelines using cloud-native technologies and edge computing to ensure 99.99% uptime.
- Research & Innovation: Conduct cutting-edge research to integrate emerging AI paradigms, pushing the boundaries of what is possible in 2026.
- Code Quality: Write clean, maintainable, and well-documented code; implement rigorous testing and CI/CD pipelines.
- Technical Leadership: Mentor junior engineers and conduct code reviews to foster a culture of technical excellence and knowledge sharing.
Qualifications
- Education: M.S. or Ph.D. in Computer Science, Mathematics, Statistics, or a related field (or equivalent professional experience).
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI Research.
- Programming: Expert-level proficiency in Python (PyTorch, TensorFlow, JAX) and SQL.
- Cloud & DevOps: Strong experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.