TM staging A

Responsibilities

• Design, build, and deploy machine learning models and pipelines
• Analyze large datasets to extract insights and improve model performance
• Develop and maintain data preprocessing, feature engineering, and model evaluation workflows
• Optimize models for performance, scalability, and reliability
• Integrate ML models into production systems and APIs
• Monitor model performance and retrain models as needed
• Stay up to date with the latest machine learning techniques and tools
• Required Skills & Qualifications
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
• Strong understanding of machine learning algorithms (supervised, unsupervised, deep learning)
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
• Experience with data processing tools (Pandas, NumPy)
• Knowledge of SQL and data storage systems
• Understanding of model evaluation metrics and validation techniques
• All your information will be kept confidential according to EEO guidelines.

Additional Information

We are looking for a skilled Machine Learning Engineer to design, develop, and deploy scalable machine learning models that solve real-world business problems. The ideal candidate will work closely with data scientists, software engineers, and product teams to build intelligent, data-driven systems.

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Company Intel

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