Job Description
Are you ready to define the technology landscape of 2026 and beyond?
Nexus Horizon Solutions is on a mission to pioneer the next generation of intelligent systems. We are seeking a visionary Senior AI/ML Architect to lead our advanced research division. In this role, you will not just adapt to the future; you will help build it. You will work at the intersection of Generative AI, Large Language Models, and scalable infrastructure to deliver solutions that are robust, ethical, and transformative.
If you are a technical leader passionate about pushing the boundaries of what is possible in artificial intelligence, we want to meet you.
Responsibilities
- Architecting the Future: Design and implement cutting-edge Machine Learning pipelines and Generative AI models tailored for large-scale deployment.
- Strategic Leadership: Lead a team of talented data scientists and engineers, fostering a culture of innovation and continuous improvement.
- Model Optimization: Fine-tune and optimize large language models (LLMs) for specific industry applications, ensuring high accuracy and low latency.
- System Scalability: Oversee the MLOps infrastructure, ensuring seamless CI/CD pipelines, data governance, and cloud-native architecture (AWS/GCP).
- Technical Mentorship: Guide junior engineers and conduct code reviews to maintain the highest technical standards across the organization.
- R&D Collaboration: Collaborate with product teams to translate complex business requirements into innovative technical solutions.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX with 5+ years of industry experience in AI/ML.
- Generative AI: Proven experience building, fine-tuning, or deploying LLMs (e.g., GPT, LLaMA, BERT).
- Infrastructure: Strong understanding of cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Exceptional analytical skills with a track record of solving complex, unstructured problems.
- Communication: Ability to communicate complex technical concepts to non-technical stakeholders effectively.