Job Description
Are you ready to architect the intelligence layer of the next decade? Nexus AI is seeking a visionary Senior Machine Learning Engineer to lead our 2026 roadmap. We are building the foundational models that will power the next generation of autonomous systems and generative applications. If you thrive in fast-paced environments and want to push the boundaries of what is possible with Large Language Models (LLMs) and predictive analytics, this is your opportunity.
Join a world-class team of researchers and engineers dedicated to solving the most complex challenges in artificial intelligence. You will have the autonomy to design, deploy, and optimize high-impact machine learning systems at scale.
Responsibilities
- Design and implement scalable machine learning pipelines for next-gen AI applications, focusing on Generative AI and Large Language Models.
- Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
- Optimize model inference speed and reduce latency in production environments using MLOps best practices.
- Conduct cutting-edge research to improve model accuracy, robustness, and safety.
- Oversee the full lifecycle of ML models, from data ingestion and training to monitoring and maintenance.
- Establish best practices for code quality, documentation, and reproducibility within the engineering team.
Qualifications
- B.S., M.S., or Ph.D. in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Strong proficiency in Python and frameworks such as PyTorch or TensorFlow.
- Deep understanding of NLP concepts, transformer architectures, and RAG (Retrieval-Augmented Generation) pipelines.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of deploying models to production and managing model lifecycle governance.