Job Description
We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco. As we prepare for the technological horizon of 2026, we need a technical leader to architect scalable machine learning systems, fine-tune large language models, and deploy intelligent agents that redefine user experience.
At FutureScale, we don't just predict trends; we set them. You will work on cutting-edge Generative AI projects, optimizing model performance for real-world applications and driving the next generation of digital innovation.
Responsibilities
- Model Development: Design, train, and fine-tune complex deep learning models and NLP architectures.
- Infrastructure & MLOps: Build and maintain scalable MLOps pipelines for model deployment, monitoring, and retraining.
- Innovation: Stay ahead of the curve with the latest advancements in AI research, particularly LLMs and computer vision.
- Cross-Functional Collaboration: Partner with product and engineering teams to integrate AI solutions seamlessly into our core platforms.
- Performance Optimization: Ensure models are efficient, accurate, and cost-effective in production environments.
Qualifications
- 5+ years of professional experience in Python, PyTorch, or TensorFlow.
- Deep knowledge of Natural Language Processing (NLP) and Large Language Models (LLMs).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong understanding of statistics, data structures, and machine learning algorithms.
- Proven track record of delivering production-ready AI solutions from concept to deployment.