Job Description
Shape the Future of Intelligence in 2026
Nexus Horizon Labs is at the forefront of the next technological revolution. We are seeking a visionary Senior AI/ML Engineer to help architect the systems that will define the era of 2026 and beyond. If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence and want to build scalable, ethical, and impactful solutions, we want to meet you.
In this role, you will lead the development of advanced machine learning models, oversee MLOps infrastructure, and collaborate with a world-class team of researchers and engineers. This is not just a job; it is an opportunity to leave a lasting legacy in the tech landscape.
Key Highlights:
- Work on cutting-edge Generative AI and Large Language Models.
- Competitive compensation package and equity opportunities.
- Flexible remote-first hybrid work environment.
- Access to the latest hardware and cloud computing resources.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art deep learning models using Python, PyTorch, and TensorFlow.
- System Optimization: Engineer efficient algorithms for low-latency, high-throughput inference in production environments.
- MLOps Implementation: Build and maintain robust CI/CD pipelines for automated model training and deployment.
- Strategic Research: Evaluate emerging AI technologies and methodologies to keep our stack ahead of the curve.
- Cross-Functional Leadership: Partner with product and engineering teams to integrate AI capabilities seamlessly into user-facing applications.
- Ethical AI: Ensure all models adhere to fairness, transparency, and data privacy standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Data Science.
- Technical Skills: Proficiency in Python, SQL, and at least one major ML framework (PyTorch, TensorFlow, or JAX).
- Cloud Expertise: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Domain Knowledge: Deep understanding of Neural Networks, NLP, or Computer Vision is highly preferred.
- Soft Skills: Exceptional problem-solving abilities and the capacity to communicate complex technical concepts to non-technical stakeholders.