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Job Description
📋 Description Lead productizing AI research into commercial-scale models. Build and refine ML platforms, ensuring reliability and scalability. Collaborate with researchers and engineers to deploy AI products that drive business impact. Architect high-performance ML systems and production-ready pipelines. Influence monitoring, testing, and deployment practices across teams. Mentor junior engineers and communicate complex concepts clearly. 🎯 Requirements 5+ years in AI/ML with deep learning systems and pipelines. Master’s or higher in CS, Math, Engineering, or related field. Proven track record productizing AI research into production models. Expertise in neural nets including transformers, CV, NLP, multimodal. Experience with PyTorch or TensorFlow; Python proficiency (scikit-learn, XGBoost, etc.). Experience with Spark and Google Cloud Platform; production ML systems at scale. 🎁 Benefits Competitive base salary with potential bonus. Medical, financial, and other benefits. Collaborative, diverse, inclusive culture.
