Job Description
Nexus Future Systems is pioneering the next generation of Artificial Intelligence. As we look toward the 2026 roadmap, we need a visionary AI Engineer to architect systems that push the boundaries of what is possible.
In this role, you will be responsible for building scalable machine learning infrastructure and deploying state-of-the-art models that power our global products.
Responsibilities
- Architect and implement robust machine learning pipelines for production environments.
- Research and fine-tune Large Language Models (LLMs) for specific industry applications.
- Optimize model performance (latency and accuracy) for edge and cloud deployment.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products.
- Mentor junior engineers and conduct code reviews to ensure best practices.
Qualifications
- B.S., M.S., or Ph.D. in Computer Science, Mathematics, or a related field.
- 5+ years of experience in AI/ML engineering or data science.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of deep learning architectures and NLP.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).