Job Description
Are you ready to architect the future of Artificial Intelligence? FutureScale Technologies is seeking a visionary Senior AI/ML Engineer to lead our cutting-edge projects targeting the 2026 market landscape. In this pivotal role, you will define the standards for Generative AI, Large Language Models (LLMs), and autonomous agents that will reshape industries. You will work at the intersection of research and production, ensuring our models are scalable, ethical, and industry-leading. Join a team that is not just predicting the future, but building it.
Responsibilities
- Architect Next-Gen Models: Design and implement state-of-the-art Deep Learning architectures and LLM fine-tuning pipelines.
- Production Deployment: Lead the deployment of AI models into high-traffic production environments using Kubernetes and cloud-native infrastructure.
- Performance Optimization: Drive initiatives to optimize inference speed and reduce latency for real-time AI applications.
- Ethical AI Governance: Establish and enforce guidelines for AI safety, bias mitigation, and responsible data usage.
- Research & Innovation: Stay ahead of the curve on emerging technologies, specifically focusing on AGI pathways and multimodal AI.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in Machine Learning engineering, with at least 2 years focusing on LLMs or Generative AI.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Infrastructure: Strong experience with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).
- Data Engineering: Experience with data pipelines, ETL processes, and vector databases (e.g., Pinecone, Milvus).
- Problem Solving: Demonstrated ability to solve complex, unstructured problems in novel ways.