Machine Learning Engineer

About The Role

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We're looking for a skilled Machine Learning Engineer to develop, optimize, and deploy intelligent machine learning models for production systems. You'll work with large datasets and cross-functional teams to bring ML solutions to life at scale.

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Key Responsibilities

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• Design, train, and deploy machine learning models for production use.
• Optimize model performance, accuracy, and inference speed.
• Build and maintain robust data pipelines.
• Collaborate with engineers to integrate models into live products.
• Monitor deployed models and iterate based on real-world performance.
• Research and evaluate new ML techniques and tools.

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Nice To Have

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• Experience with deep learning frameworks (TensorFlow, PyTorch).
• Background in MLOps and model deployment pipelines.
• Experience with large-scale distributed systems.
• Contributions to open-source ML projects.

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Benefits

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• Flexible working environment.
• Learning and development budget.
• Career growth opportunities.
• Team retreats and company events.
• Performance-based rewards.
• Premium tools and equipment support.

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How To Apply

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Send your portfolio, resume, and a short introduction explaining why you'd be a great fit for our team. We review every application carefully and look forward to learning more about your work.