Job Description
Join the Future of Intelligence
Nexus Horizon Labs is pioneering the next generation of artificial intelligence architectures. We are seeking a visionary Senior Machine Learning Engineer to lead the development of scalable AI models designed for the year 2026 and beyond. You will work on cutting-edge generative models and autonomous systems that will define the future of enterprise automation.
In this role, you will bridge the gap between theoretical research and production-grade deployment, ensuring our AI solutions are robust, efficient, and ethically sound.
Responsibilities
- Architect & Deploy: Design, build, and deploy scalable machine learning pipelines and model architectures using modern cloud infrastructure (AWS/GCP).
- Model Optimization: Fine-tune large language models (LLMs) and transformer architectures to improve inference speed and accuracy for real-time applications.
- Collaboration: Partner with data scientists, product managers, and software engineers to translate business requirements into technical AI solutions.
- Research: Stay at the forefront of AI research, evaluating and integrating new techniques such as federated learning or reinforcement learning.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and innovation within the team.
- Infrastructure: Oversee the integration of AI models into microservices and ensure high availability and fault tolerance of ML systems.
Qualifications
- Experience: 5+ years of professional experience in software engineering or machine learning engineering.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed systems and parallel computing.
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
- Tools: Proficiency with containerization (Docker, Kubernetes) and CI/CD pipelines (GitHub Actions, Jenkins).
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to troubleshoot complex system issues and optimize performance bottlenecks.