• Responsibilities: architect machine learning systems, fine-tune large models, ensure model reliability and performance, oversee MLOps, and mentor junior engineers.
• Collaboration: work closely with product and engineering teams to define technical roadmaps and deliver production-ready solutions.
• Qualifications: minimum 5 years in AI/ML, advanced Python skills, experience with TensorFlow or PyTorch, MLOps practices, and cloud platforms (AWS, GCP, or Azure). Strong communication and problem-solving abilities required.

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