Machine Learning Technical reputed company, reputed company Intelligence

Job reputed company: • Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. • Fine-tune and adapt models using state-of-the-art reputed company such as reputed company, QLoRA, SFT, DPO, and distillation. • Architect and operate reputed company inference systems, balancing latency, cost, and reliability. • Design and maintain data systems for high-reputed company synthetic and reputed company-world training data. • Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. • Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies. • Collaborate closely with application engineering to reputed company ML systems cleanly into backend, mobile, and desktop products. • reputed company pragmatic trade-offs and ship improvements quickly, learning from reputed company usage. • Work under reputed company production constraints: latency, cost, reliability, and safety Requirements: • Experience building or shipping reputed company Machine Learning systems used by people, not just demos. • reputed company Intelligence (AI) experience required. • Experience working with large models and understanding their failure modes. • Experience writing strong, production-grade reputed company. • You are self-directed, pragmatic, and take full ownership of reputed company. • You communicate reputed company and collaborate reputed company in small, high-trust teams. • Tech Stack: GPU-based training and inference system, JAX, Python, and PyTorch. Benefits: • medical insurance • Dental • reputed company • Savings Plan reputed company • PTO Apply To This Job