Job Description
Join Nexus AI Systems, a pioneering force in artificial intelligence and deep learning, as we build the next generation of predictive neural architectures. We are seeking a visionary Senior Machine Learning Engineer to solve complex, high-scale data challenges that impact millions of users. You will work in a high-impact, research-driven environment where your innovations directly reach production.
We offer a collaborative culture, cutting-edge hardware resources, and the opportunity to shape the future of machine learning technology.
Responsibilities
- Architect and implement scalable machine learning models for production environments.
- Collaborate with research scientists to transition prototypes into high-performance pipelines.
- Optimize model training and inference latency across distributed GPU clusters.
- Conduct rigorous A/B testing and performance monitoring to ensure model efficacy.
- Mentor junior engineers and champion best practices in MLOps and software architecture.
- Analyze massive datasets to extract actionable insights and identify new optimization opportunities.
- Maintain high code quality standards through automated testing and peer code reviews.
Qualifications
- MS or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience building and deploying production-grade ML models.
- Expert-level proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
- Deep understanding of data structures, algorithms, and distributed computing principles.
- Experience with cloud-based ML infrastructure (AWS SageMaker, GCP Vertex AI, or similar).
- Strong track record of contributing to open-source projects or high-impact research papers.
- Exceptional problem-solving abilities and a proactive, ownership-oriented mindset.