Job Description
We are looking for a visionary Lead Generative AI Architect to join our elite engineering team. Nexus Future Systems is pioneering the next generation of autonomous digital assistants and predictive modeling tools. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and generative adversarial networks (GANs), this is your opportunity to define the roadmap for our AI infrastructure.
In this role, you will lead a high-performance team of data scientists and engineers, designing scalable architectures that power our core products. You will be responsible for model training, fine-tuning, and deployment strategies that ensure reliability and speed at scale.
Why Join Us?
- Work on cutting-edge technology that shapes the future of AI.
- Competitive equity package and performance bonuses.
- Flexible remote-first work culture with top-tier equipment.
- Opportunity to mentor the next generation of AI talent.
Responsibilities
- Architect and implement robust, scalable generative AI pipelines and infrastructure.
- Lead the research and development of novel algorithms for text, image, and multimodal generation.
- Optimize model inference speed and reduce computational costs for large-scale deployment.
- Collaborate with product managers and engineers to translate complex requirements into technical solutions.
- Mentor junior data scientists and conduct code reviews to maintain high engineering standards.
- Stay abreast of the latest research in machine learning and deep learning to integrate state-of-the-art techniques.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
- Minimum of 7+ years of experience in software engineering, with a strong focus on AI/ML.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven experience deploying LLMs (e.g., GPT, Llama, BERT) in production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps practices.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.