Machine Learning Engineer (AI Models)

Join a dynamic team as a PhD Engineer specializing in Electrical, Mechanical, or Chemical disciplines, where your expertise will contribute to a high-impact customer project. This …

• 10 days ago, Role Overview As a .NET Engineer, you will play a crucial role in shaping the future of AI systems by leveraging your expertise in .NET and C#. Your contributions will directly i…
• 17 days ago +

Design, develop, and deploy machine learning and AI models that solve business problems, from data preparation and model training to evaluation, optimization, and production integration. Key Performance Indicators: * Deliver high-impact ML models in production * Improve model accuracy and reduce error rates * Build end-to-end pipelines for training and deployment * Optimize inference latency and resource usage * Maintain robust monitoring and model governance Qualifications: * 10+ years building machine learning systems * Strong experience with Python and ML frameworks * Proven record deploying AI models to production * Expertise in data preprocessing and feature engineering * Experience with MLOps practices and monitoring, * 10+ years building machine learning systems

• Strong experience with Python and ML frameworks
• Proven record deploying AI models to production
• Expertise in data preprocessing and feature engineering
• Experience with MLOps practices and monitoring
• Python
• PyTorch or TensorFlow
• Scikit-learn
• SQL
• Feature engineering
• Model evaluation
• MLOps (MLflow, Kubeflow)
• Docker and Kubernetes
• Cloud platforms (AWS/GCP/Azure)
• CI/CD for ML

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