Machine Learning Engineer

Be at the forefront of innovation by joining a leading AI research firm, building ML models that power products and drive decision-making at scale.

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• Build, train, and deploy machine learning models using Python, TensorFlow, PyTorch
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• Work on supervised, unsupervised, and reinforcement learning problems
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• Clean and process large datasets to extract insights and train algorithms
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• Perform feature engineering to improve model accuracy
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• Design ML pipelines and automate model deployment
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• Collaborate with software engineers to integrate models into applications
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• Use MLOps practices for monitoring, retraining, and lifecycle management
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• Conduct A/B tests and measure real-world model performance
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• Stay up to date with the latest research and apply new methods
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• Optimize models for inference speed and memory efficiency
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• Evaluate ethical concerns and ensure fairness and transparency
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• Contribute to technical documentation and academic publications
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• Participate in data governance and model risk committees
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• Present model results and impact to stakeholders
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• Work on innovative use cases like personalization, forecasting, and predictive maintenance
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