Job Description
Are you ready to shape the future of intelligence? FutureScale Technologies is seeking a visionary Senior AI & Machine Learning Engineer to lead our 2026 roadmap. We are building the next generation of autonomous agents and multimodal AI systems that will redefine industry standards.
In this high-impact role, you will architect scalable deep learning models, optimize inference pipelines, and collaborate with a world-class team of researchers and engineers. If you are passionate about pushing the boundaries of Generative AI and are looking for a challenge that defines the future, apply today.
Responsibilities
- Architect Core Models: Design and deploy state-of-the-art deep learning models, focusing on LLMs, Transformers, and multimodal architectures.
- Performance Optimization: Implement advanced techniques to reduce latency and improve throughput for real-time AI inference.
- Research & Innovation: Lead the exploration of novel algorithms and training strategies to advance our proprietary AI framework.
- MLOps & Infrastructure: Build and maintain robust MLOps pipelines using Kubernetes and cloud-native services (AWS/GCP).
- Cross-Functional Leadership: Partner with product and engineering teams to translate complex business needs into scalable technical solutions.
- Talent Development: Mentor junior engineers and conduct code reviews to maintain the highest standards of technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
- Experience: 5+ years of professional experience in machine learning, deep learning, or AI research.
- Programming: Strong proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- LLM Expertise: Deep understanding of Large Language Models, RAG architectures, and prompt engineering.
- Infrastructure: Experience with cloud platforms (AWS/GCP/Azure), Docker, and Kubernetes.
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to diverse stakeholders.