Machine Learning Engineer

• Lead and manage a team of ML engineers and MLOps specialists, fostering a culture of collaboration, innovation, and continuous improvement.
• Define project goals, timelines, and deliverables for ML model development and MLOps infrastructure in alignment with business priorities.
• Oversee the implementation of comprehensive MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.
• Oversee the design and development of scalable data pipelines for model training, ensuring data quality, reliability, and efficiency.
• Ensure best practices in coding, testing, and system design are followed across ML pipelines and infrastructure.
• Maintain hands-on involvement in critical technical decisions and code contributions when needed.

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