Job Description
We are at the forefront of the technological singularity, and FutureScale Systems is looking for a visionary Senior AI/ML Engineer to help define the landscape of 2026 and beyond.
In this pivotal role, you will not be maintaining the status quo; you will be architecting the next generation of generative agents, autonomous decision-making systems, and predictive neural networks. We are building the tools that will power the future of enterprise, and we need a technical leader who thrives on ambiguity and innovation.
If you are passionate about pushing the boundaries of Large Language Models (LLMs), Agentic workflows, and Multimodal AI, we want to hear from you. Join a team of elite engineers and data scientists dedicated to solving humanity's most complex challenges.
Responsibilities
- Architect and deploy scalable, high-performance machine learning models for real-time, high-volume applications.
- Lead the research and implementation of cutting-edge Generative AI and autonomous agent workflows.
- Optimize model inference speed and reduce latency for edge devices and cloud infrastructure.
- Mentor junior engineers and establish best practices for data privacy, model governance, and ethical AI.
- Collaborate with cross-functional product teams to translate technical requirements into innovative, user-centric features.
- Stay ahead of the curve on emerging AI trends, including Quantum AI integration and advanced reinforcement learning.
Qualifications
- Master’s degree or Ph.D. in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in Machine Learning Engineering or Applied AI.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of LLM architectures (e.g., GPT, BERT, Llama) and fine-tuning methodologies.
- Strong background in MLOps, cloud infrastructure (AWS/GCP), and containerization (Docker/K8s).
- Experience with distributed systems, real-time data pipelines, and high-concurrency environments.