Job Description
We are seeking a visionary AI/ML Engineer to architect the technology stack for the year 2026. As a pioneer in autonomous systems and Generative AI, Nexus Future Labs is looking for a technical leader to bridge the gap between theoretical research and production-grade applications. This is a rare opportunity to define the standards of the next generation of artificial intelligence.
Our Vision:
- Shape the future of human-computer interaction.
- Deploy scalable Large Language Models (LLMs) in real-world scenarios.
- Drive innovation in ethical AI and deep learning architectures.
Responsibilities
- Model Engineering: Design, train, and optimize deep neural networks using Python, PyTorch, and TensorFlow.
- LLM Integration: Fine-tune and deploy Large Language Models to enhance product intelligence and automation.
- System Architecture: Build robust MLOps pipelines for continuous integration and deployment (CI/CD) of AI models.
- Performance Tuning: Minimize inference latency and maximize throughput for edge and cloud deployment environments.
- Research Implementation: Translate cutting-edge academic research into practical, scalable software solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
- Technical Proficiency: Strong command of Python and experience with C++.
- Frameworks: Deep expertise in PyTorch, TensorFlow, or JAX.
- Data Skills: Proven ability to handle large-scale datasets and implement efficient data pipelines.
- Experience: 3+ years of experience in AI/ML engineering roles within a high-scale tech environment.