Job Description
Join the forefront of artificial intelligence innovation at Nexus AI Systems. We are seeking a visionary Senior Machine Learning Engineer to architect and deploy scalable generative models that solve complex real-world problems. You will work in a high-impact, collaborative environment where your code directly influences the future of autonomous systems.
We value intellectual curiosity, clean architecture, and a relentless pursuit of engineering excellence. If you are passionate about pushing the boundaries of what is possible, we want to hear from you.
Responsibilities
- Design and implement end-to-end machine learning pipelines for high-traffic applications.
- Collaborate with research scientists to transition experimental models into production environments.
- Optimize neural network architectures for latency, throughput, and memory efficiency.
- Conduct rigorous A/B testing and performance analysis to iterate on model accuracy.
- Mentor junior engineers and promote best practices in MLOps and automated testing.
- Stay abreast of state-of-the-art research in computer vision and natural language processing.
Qualifications
- M.S. or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning, software engineering, 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 (Docker, Kubernetes).
- Strong background in distributed computing and large-scale data processing (Spark, Ray).
- Excellent problem-solving skills with a track record of shipping complex AI-driven products.