Job Description
Join Nexus AI Labs at the forefront of the generative AI revolution. We are seeking a highly skilled Senior Machine Learning Engineer to architect and scale our proprietary neural networks. You will work in a fast-paced, research-heavy environment where your code directly impacts the future of autonomous systems.
We value intellectual curiosity, rigorous engineering standards, and a passion for solving complex, non-linear problems. You will collaborate with world-class data scientists to transition models from experimental stages to high-traffic production environments.
Responsibilities
- Architect, develop, and deploy scalable machine learning models into production environments.
- Optimize neural network performance for high-throughput, low-latency requirements.
- Collaborate with cross-functional teams to identify and solve complex data bottlenecks.
- Implement MLOps best practices, including CI/CD pipelines for model training and deployment.
- Conduct code reviews and mentor junior engineers on algorithmic best practices.
- Stay abreast of the latest advancements in deep learning frameworks and distributed computing.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering or data science.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Solid understanding of distributed systems and cloud infrastructure (AWS/GCP).
- Experience with large-scale data processing tools like Apache Spark or Ray.
- Strong problem-solving skills with a track record of shipping high-impact products.