• Architect and implement machine learning systems; fine-tune large models and maintain model reliability and performance.
• Implement MLOps best practices, oversee monitoring and validation, and collaborate with product and engineering teams to define technical roadmaps.
• Mentor junior engineers and promote clear documentation and operational standards.

Qualifications: 5+ years in AI/ML, strong Python skills, experience with TensorFlow or PyTorch, MLOps expertise, and familiarity with cloud platforms (AWS, GCP, Azure). Excellent communication and analytical problem-solving skills required.

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