Job Description
We are looking for a visionary Senior AI Architect to define the technological landscape for the year 2026 and beyond. As a leader in the Future Nexus Technologies team, you will be responsible for designing next-generation artificial intelligence systems, optimizing deep learning architectures, and ensuring scalable deployment of machine learning models. You will work at the intersection of research and production, pushing the boundaries of Generative AI and Predictive Analytics.
What You Will Do:
Lead the architectural design of high-performance AI systems, ensuring they are robust, secure, and scalable. Collaborate with product managers and engineers to translate complex AI concepts into user-centric solutions. Drive the research and implementation of cutting-edge algorithms in Natural Language Processing (NLP) and Computer Vision. Mentor a team of high-potential engineers and contribute to the company's technical roadmap.
Responsibilities
- Architect and deploy scalable machine learning models and deep neural networks in cloud environments.
- Optimize existing algorithms for inference speed and memory efficiency.
- Conduct research on emerging AI trends to keep the technology stack future-proof.
- Implement MLOps best practices for continuous integration and delivery of AI models.
- Collaborate with cross-functional teams to integrate AI solutions into core products.
- Define data governance policies and ensure data quality for training sets.
Qualifications
- Master’s or PhD degree in Computer Science, Machine Learning, or a related quantitative field.
- Minimum of 6 years of professional experience in AI/ML engineering and software development.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of Large Language Models (LLMs), fine-tuning, and prompt engineering.
- Experience with cloud platforms (AWS/GCP) and containerization (Docker/Kubernetes).
- Strong background in system design and high-availability distributed systems.