Job Description
Join Nexus AI Systems, a pioneering force at the intersection of deep learning and predictive analytics. We are seeking a visionary Senior Machine Learning Engineer to architect scalable models that redefine industry standards.
You will work in a high-impact, collaborative environment where your code directly influences global infrastructure. We value intellectual curiosity, rigorous engineering, and a commitment to building ethical AI solutions.
Responsibilities
- Architect, develop, and deploy production-grade machine learning models.
- Optimize neural network architectures for low-latency inference in cloud environments.
- Lead cross-functional efforts to improve data pipeline efficiency and feature engineering workflows.
- Conduct deep-dive research into emerging AI trends to maintain our competitive technical advantage.
- Mentor junior engineers and contribute to our internal technical documentation and knowledge base.
- Collaborate with stakeholders to translate complex business requirements into robust technical specifications.
Qualifications
- Advanced degree (MS or PhD) in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in machine learning, deep learning, or data science.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Solid understanding of distributed computing systems (e.g., Spark, Kubernetes, Ray).
- Proven track record of deploying models into high-traffic production environments.
- Excellent communication skills with the ability to articulate complex concepts to non-technical stakeholders.