Job Description
Shape the Future of Intelligence
At Nexus Future Labs, we are not just building software; we are architecting the foundational models that will power the world in 2026 and beyond. We are looking for a visionary AI & Machine Learning Engineer to join our elite research division. If you are passionate about Large Language Models, generative AI, and the ethical implications of artificial general intelligence, this is your stage.
We offer a competitive package, equity packages, and the opportunity to work with world-class researchers and engineers pushing the boundaries of what is possible.
Responsibilities
- Architect Next-Gen Models: Design and implement scalable machine learning architectures for generative AI and predictive analytics.
- Optimization & Scaling: Fine-tune large models for production environments, ensuring high performance and low latency.
- Research & Development: Stay at the forefront of AI research, exploring novel techniques in Natural Language Processing (NLP) and Computer Vision.
- Collaborative Innovation: Work closely with product teams to translate theoretical research into practical, high-impact applications.
- Deployment: Oversee the end-to-end deployment of ML models using modern CI/CD pipelines and cloud infrastructure.
- Mentorship: Guide junior engineers and data scientists in best practices for model training and evaluation.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
- Technical Skills: Extensive experience with Python, PyTorch, TensorFlow, or JAX.
- AI Expertise: Deep understanding of Deep Learning principles, Transformers, and LLMs (e.g., GPT, BERT).
- Math Proficiency: Strong grasp of linear algebra, calculus, and probability/statistics.
- Experience: Minimum 5 years of experience in a machine learning engineering role.
- Cloud Native: Experience deploying models on AWS, GCP, or Azure.