Job Description
Join Nexus AI Systems, a pioneering force at the intersection of deep learning and real-world infrastructure. We are building the next generation of autonomous decision-making engines, and we need a Senior Machine Learning Engineer to help us push the boundaries of model scalability and performance.
You will work alongside industry-leading researchers and engineers to architect high-throughput systems that define the future of the technology sector.
Responsibilities
- Architect, train, and deploy large-scale machine learning models into production environments.
- Collaborate with cross-functional teams to integrate ML pipelines into existing cloud infrastructure.
- Optimize model inference latency and accuracy for high-traffic real-time applications.
- Design and maintain data pipelines for high-velocity sensor data processing.
- Mentor junior engineers and promote best practices in MLOps and clean code architecture.
- Lead research initiatives to explore state-of-the-art transformer architectures.
Qualifications
- M.S. or Ph.D. in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience building scalable ML production systems.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Deep understanding of distributed computing, GPU optimization, and cloud services (AWS/GCP).
- Strong experience with CI/CD for ML, including experiment tracking and model monitoring.
- Excellent communication skills with the ability to bridge the gap between technical and non-technical stakeholders.