Job Description
Are you ready to architect the next generation of Artificial Intelligence for 2026? Nexus Future Systems is seeking a visionary Senior AI/ML Architect to lead our cutting-edge research division. In this pivotal role, you will define the technical roadmap for our flagship products, ensuring we stay ahead of the curve in the rapidly evolving AI landscape.
We are not just building software; we are defining the future of human-machine interaction. You will work with a world-class team of engineers, data scientists, and product strategists to deploy scalable, ethical, and high-performance AI models that will set industry standards for the year 2026 and beyond.
Why join Nexus Future Systems?
- Work on revolutionary Generative AI and Large Language Model (LLM) projects.
- Competitive equity package and comprehensive benefits.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Architect & Design: Design and implement scalable machine learning infrastructure and pipelines tailored for 2026 computing paradigms.
- R&D Leadership: Spearhead research initiatives in Natural Language Processing (NLP) and Computer Vision to advance our product roadmap.
- Model Optimization: Oversee the fine-tuning and optimization of large-scale models, ensuring low latency and high throughput.
- Best Practices: Establish and enforce best practices for data governance, model security, and ethical AI deployment.
- Collaboration: Partner with cross-functional teams (Product, Engineering, Design) to translate business requirements into technical solutions.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field.
- Experience: 7+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or senior architecture role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern cloud platforms (AWS, GCP, or Azure).
- Specialization: Deep expertise in LLMs, Transformers, or Generative Adversarial Networks (GANs).
- Problem Solving: Proven track record of solving complex, unstructured problems in high-scale environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.