Job Description
We are seeking a visionary Senior AI Engineer to join our elite team at FutureScale AI. As we prepare to redefine the technological landscape in 2026, you will be at the forefront of building autonomous generative agents and next-generation Large Language Models (LLMs). This is not just a job; it is a mission to architect the intelligence of tomorrow.
In this role, you will bridge the gap between theoretical research and practical application, driving innovation in areas such as multi-modal AI, ethical machine learning, and scalable neural architectures. If you are passionate about the future of technology and want to build systems that will define the era of 2026, we want to hear from you.
Responsibilities
- Design and implement scalable machine learning pipelines for high-volume data processing and real-time inference.
- Research, optimize, and fine-tune state-of-the-art transformer architectures and Generative AI models.
- Lead the deployment of AI models into production environments, ensuring high availability, low latency, and optimal performance.
- Mentor junior engineers and data scientists, fostering a culture of innovation, technical excellence, and continuous learning.
- Collaborate closely with cross-functional product teams to translate complex AI capabilities into user-centric features.
- Conduct rigorous testing and validation to ensure model accuracy, robustness, and fairness.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI research.
- Extensive proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Deep understanding of Natural Language Processing (NLP), Reinforcement Learning, or Generative Adversarial Networks (GANs).
- Proven track record of shipping production-ready AI products to market.
- Strong problem-solving skills and the ability to thrive in a fast-paced, ambiguous startup environment.