Job Description
We are looking for a visionary AI/ML Engineer to join our elite team at Nexus Future Systems. As we prepare for the technological horizon of 2026, we are building the foundational models that will define the next era of human-machine interaction. If you are passionate about pushing the boundaries of Generative AI, Large Language Models, and Neural Architectures, we want to hear from you.
You will be responsible for architecting scalable machine learning pipelines and deploying state-of-the-art AI solutions that solve complex, real-world problems. This is a high-impact role where your work will directly influence the future of technology.
Responsibilities
- Design, train, and fine-tune advanced machine learning models, focusing on Generative AI and NLP for the 2026 landscape.
- Optimize deep neural networks for high-performance inference on distributed cloud environments.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready applications.
- Implement robust data pipelines and ensure data integrity for training large-scale datasets.
- Stay ahead of the curve by researching emerging AI paradigms and integrating cutting-edge methodologies into our core stack.
- Mentor junior engineers and contribute to the technical roadmap for future AI initiatives.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- 5+ years of professional experience in Machine Learning or Deep Learning engineering.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong understanding of transformer architectures, LLMs (e.g., GPT, BERT), and reinforcement learning.
- Experience with MLOps tools, cloud platforms (AWS/GCP), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and the ability to work in a fast-paced, innovative environment.