Job Description
Nexus Future Labs is pioneering the next generation of artificial intelligence. We are seeking a visionary Senior AI/ML Engineer to lead the development of cutting-edge Large Language Models (LLMs) and generative AI solutions that will define the technological landscape of 2026 and beyond.
As a key member of our elite R&D team, you will bridge the gap between theoretical research and production-grade deployment. You will work in a dynamic environment where innovation is not just encouraged—it is the standard. If you want to build the AI systems of tomorrow, today, we want to hear from you.
Responsibilities
- Model Architecture: Design, train, and fine-tune state-of-the-art deep learning models, specifically transformers and diffusion models.
- Infrastructure: Architect scalable MLOps pipelines to ensure reliable model deployment, monitoring, and retraining strategies.
- Collaboration: Partner with cross-functional teams of data scientists, software engineers, and product managers to define AI roadmaps.
- Research: Conduct in-depth research to implement novel algorithms and improve model accuracy and efficiency.
- Mentorship: Mentor junior engineers and data scientists, conducting code reviews and technical workshops.
- Ethics & Compliance: Ensure all AI systems adhere to ethical guidelines, safety protocols, and regulatory standards.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in machine learning engineering, NLP, or computer vision.
- Programming: Expert proficiency in Python, PyTorch, or TensorFlow.
- Cloud Expertise: Deep understanding of cloud infrastructure (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
- Production Maturity: Proven track record of deploying high-traffic models to production environments.
- Soft Skills: Strong communication skills and the ability to translate complex technical concepts for non-technical stakeholders.