Job Description
At Nexus AI Systems, we are pushing the boundaries of generative AI and large-scale data processing. We are looking for a Senior Machine Learning Engineer to join our core architecture team. You will be instrumental in designing, building, and deploying high-performance models that power our flagship predictive analytics platform.
This is a unique opportunity to work with state-of-the-art infrastructure in a collaborative, research-driven environment where your code directly impacts millions of end-users worldwide.
Responsibilities
- Architect and implement scalable machine learning pipelines using Python and PyTorch.
- Collaborate with research scientists to transition experimental models into production-grade microservices.
- Optimize model training and inference performance on distributed GPU clusters.
- Mentor junior engineers and promote best practices in MLOps and automated testing.
- Conduct rigorous A/B testing and model evaluation to ensure peak performance and accuracy.
- Participate in technical design reviews to ensure system reliability and low latency.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning or machine learning engineering.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or JAX.
- Hands-on experience with cloud infrastructure (AWS or GCP) and containerization (Docker, Kubernetes).
- Deep understanding of data structures, algorithms, and distributed computing principles.
- Proven track record of deploying machine learning models into high-traffic production environments.