Job Description
Nexus Future Systems is at the forefront of innovation, defining the technological landscape for the year 2026 and beyond. We are seeking a highly skilled Senior AI Engineer to lead our advanced research initiatives. In this role, you will be instrumental in architecting scalable machine learning models that drive our core products forward.
As a key member of our elite engineering team, you will bridge the gap between theoretical research and practical application, ensuring our solutions are robust, secure, and future-proof. If you are passionate about shaping the future of technology, we want to hear from you.
Responsibilities
- Architect and deploy next-generation deep learning models aligned with the 2026 product roadmap.
- Collaborate with data scientists and product managers to translate business requirements into technical solutions.
- Optimize existing models for production environments, focusing on efficiency and scalability.
- Conduct research on emerging AI technologies to maintain a competitive edge.
- Establish best practices for code quality, testing, and CI/CD pipelines.
- Mentor junior engineers and conduct technical code reviews.
Qualifications
- PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5 years of professional experience in Machine Learning Engineering.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of distributed systems, cloud computing (AWS/GCP), and containerization (Docker/Kubernetes).
- Experience with MLOps tools and data pipeline management.
- Strong problem-solving skills and ability to work in a fast-paced, agile environment.