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 and scale our next-generation neural networks. You will work in a fast-paced environment where your code directly impacts real-world technological infrastructure.
At Nexus, we value innovation, technical rigor, and collaborative growth. If you are passionate about pushing the boundaries of artificial intelligence, we want to hear from you.
Responsibilities
- Design, develop, and deploy scalable ML models for large-scale production environments.
- Collaborate with data engineers to optimize data pipelines and feature engineering workflows.
- Conduct advanced research to improve model accuracy and latency across our AI product suite.
- Mentor junior engineering staff through rigorous code reviews and architectural guidance.
- Stay at the forefront of AI research by implementing cutting-edge algorithms from recent literature.
- Monitor, debug, and improve existing model performance to ensure high reliability.
- Bridge the gap between experimental research and robust, enterprise-grade software.
Qualifications
- Master's or PhD in Computer Science, Artificial Intelligence, 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 (PyTorch or TensorFlow).
- Deep understanding of cloud infrastructure (AWS/GCP) and containerization tools like Docker/Kubernetes.
- Proven track record of deploying models into production environments serving high traffic.
- Strong background in data structures, algorithms, and system design.
- Excellent problem-solving skills and the ability to thrive in a highly collaborative team.