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  "job_description": "Experteer Overview\nAs a Staff Machine Learning Engineer, you lead and architect complex ML initiatives that align with business goals. You collaborate with cross-functional teams and senior leadership to drive AI-enabled transformations. You will design scalable models, mentor engineers, and advocate for responsible AI across projects. This role offers impact through shaping solutions that improve processes and outcomes at scale. You will work in a fast-paced environment that values innovation and ethical AI.\n\nPay / Benefits\n• Lead the development of complex ML projects, setting timelines and coordinating with multiple teams\n• Architect and design scalable ML models and systems aligned with infrastructure\n• Mentor junior ML engineers to foster growth and team capability\n• Coordinate with cross-functional teams including local and global stakeholders\n• Drive innovation by researching and applying cutting-edge ML/AI techniques\n• Manage stakeholder relationships and communicate progress to senior management\n• Ensure ethical AI practices across models and processes\n• Evaluate project outcomes and identify areas for improvement\n• Present technical insights to technical and non-technical audiences\n• Foster knowledge sharing through workshops and training\n\nTasks\n• 8+ years of experience in AI/ML engineering or similar roles\n• Bachelor in Computer Science or Mathematics (minimum); Master’s preferred\n• Proficiency in Python, R, or Java with clean, scalable code\n• Strong understanding of ML algorithms (classical and deep learning)\n• Advanced statistics and modeling capabilities\n• Data engineering experience with big data tech (Hadoop, Spark, Kafka)\n• Deep learning frameworks: TensorFlow, PyTorch, or Keras\n• Cloud/MLOps experience on AWS, Azure, or Google Cloud\n• NLP and computer vision knowledge, depending on project needs\n• Strong problem-solving, communication, and leadership skills\n• Experience in project management and ethical AI practices\n\nKey requirements\n•",
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  "job_posted_at_datetime_utc": "2026-03-04T00:00:00.000Z"
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