Machine Learning Engineer

• Lead AI/ML and innovation initiatives across HPE’s Hybrid Cloud portfolio
• Research and experiment with advanced AI and machine learning technologies, frameworks, and algorithms
• Collaborate with cross-functional teams to understand requirements and design scalable, efficient, and robust AI/ML solutions
• Develop, implement, optimize, and monitor machine learning models and algorithms
• Perform data preprocessing, feature engineering, model selection, hyperparameter tuning, and large-dataset training
• Deploy machine learning models into production environments with scalability, performance, and security considerations
• Integrate models with existing software systems and infrastructure
• Monitor deployed models, analyze metrics, fine-tune models, optimize algorithms, and improve system performance
• Lead design review sessions and mentor junior and mid-level team members
• Establish design and implementation standards with the engineering manager and team lead
• Lead meetings and foster a collaborative team environment
• Address and resolve technical challenges proactively
• Deliver strategic presentations and reports to senior stakeholders with insights and recommendations
• Apply data mining, data modeling, natural language processing, and machine learning to analyze datasets

Explore AI and Machine Learning Engineer at Hewlett Packard Enterprise. Review requirements and application details.