Job Description
Welcome to Nexus Future Systems, a pioneer in next-generation computing. We are looking for a visionary Senior AI & Machine Learning Engineer to define the technological trajectory for the year 2026. In this role, you will not just build models; you will architect the cognitive infrastructure of the future, focusing on autonomous systems and generative intelligence that scales into the next decade.
Our mission is to bridge the gap between today's capabilities and tomorrow's reality. You will be at the helm of our elite R&D division, pushing the boundaries of what is possible in AI.
Responsibilities
- Lead the architectural design and deployment of proprietary Large Language Models (LLMs) and predictive algorithms.
- Drive the strategic 2026 roadmap for machine learning infrastructure, ensuring scalability and ethical AI compliance.
- Collaborate with cross-functional teams to integrate AI solutions into real-world enterprise applications.
- Mentor junior engineers and data scientists, fostering a culture of continuous innovation.
- Optimize deep learning models for high-performance inference in distributed environments.
Qualifications
- PhD or Master’s degree in Computer Science, AI, or a related quantitative field.
- Proven experience (5+ years) in designing and optimizing deep learning models (PyTorch, TensorFlow, JAX).
- Expertise in MLOps, cloud platforms (AWS/Azure/GCP), and distributed computing systems.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning paradigms.
- Exceptional problem-solving skills and a passion for future-tech trends.