Job Description
Are you ready to architect the future? FutureScale Technologies is seeking a visionary Senior AI Engineer to lead the Project 2026 initiative—a next-generation generative AI platform designed to redefine human-machine interaction.
We are building the infrastructure for the year 2026 and beyond. In this role, you will push the boundaries of Large Language Models (LLMs) and reinforcement learning, deploying high-scale systems that power the next wave of enterprise innovation. If you thrive in a fast-paced, high-impact environment and want to leave a lasting mark on the technological landscape, this is your opportunity.
Responsibilities
- Architect Scalable AI Systems: Design and implement robust, fault-tolerant machine learning pipelines capable of handling petabyte-scale data.
- Research & Development: Push the envelope of state-of-the-art algorithms, focusing on efficiency, fairness, and hallucination reduction in LLMs.
- Model Optimization: Apply quantization, pruning, and distillation techniques to deploy models on edge devices and cloud infrastructure with minimal latency.
- Collaborative Innovation: Partner with product managers, data scientists, and software engineers to translate complex business requirements into technical solutions.
- Performance Tuning: Continuously monitor, evaluate, and optimize model inference speed and accuracy in production environments.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in building and deploying machine learning models at scale.
- Technical Proficiency: Deep expertise in Python, PyTorch, or TensorFlow; familiarity with C++ for performance-critical components.
- Specialized Knowledge: Strong background in NLP, Transformers, or reinforcement learning.
- Cloud Expertise: Proven track record of working with AWS, GCP, or Azure ML services.