Machine Learning Engineer

• Design, develop, and deploy machine learning models and AI solutions for real-world customer problems
• Rapidly develop demos, proofs of concept, MVPs, and workflows showcasing new AI/ML capabilities
• Experiment with emerging AI/ML techniques and tools to create functional prototypes
• Develop and improve integrations of open-source ML/AI tools such as MLFlow, Spark, LangChain, and Kubeflow in production environments
• Ensure seamless operation on platforms such as Kubernetes
• Fine-tune models and algorithms for accuracy, efficiency, and scalability, including deep learning technologies
• Translate customer requirements and industry trends into AI/ML solutions improving product features, data management, and system performance
• Collaborate with product managers, data scientists, and engineering teams to design and deploy solutions
• Document procedures and best practices
• Lead integration efforts for emerging AI tools
• Mentor junior team members
• Communicate progress and challenges to leadership

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