| AI ML Engineer || Hybrid || Phoenix AZ at Phoenix, Arizona, USA |
| Email: [email protected] |
| From: Chandra Kanth M K, NORTHITE [email protected] Reply to: [email protected] Role: AI/ ML Engineer Client: AMEX Hybrid: 3 days onsite, 2 days remote. Interview: 3 Rounds 2 video calls 1 face 2 face interview Required: Good experience in Python with emphasis on machine learning. Knows the architecture and design of ML apps. Experience with LLMs and Open AI apis Hands on experience with Pandas, Numpy, and Scikit-learn Experience in designing mission critical highly available enterprise applications. Strong knowledge of machine learning, mathematical modeling and statistics Deep knowledge of Machine learning algorithms Supervised and unsupervised learning - hands on experience in building model and defining model accuracy. Implement end-to-end LLM security risk management processes and automated protections. Support production deployments of AI/ML safety systems using cloud-native packaging and deployment techniques such as containers, serverless, CI/CD and APIs. Strong interpersonal communication skills and the ability to work well in a diverse team-focused environment. Good experience in Python with emphasis on machine learning. Knows the architecture and design of ML apps. Experience with LLMs and Open AI apis Hands on experience with Pandas, Numpy, and Scikit-learn Experience in designing mission critical highly available enterprise applications. Strong knowledge of machine learning, mathematical modeling and statistics Deep knowledge of Machine learning algorithms Supervised and unsupervised learning - hands on experience in building model and defining model accuracy. Implement end-to-end LLM security risk management processes and automated protections. Support production deployments of AI/ML safety systems using cloud-native packaging and deployment techniques such as containers, serverless, CI/CD and APIs. Strong interpersonal communication skills and the ability to work well in a diverse team-focused environment. Keywords: continuous integration continuous deployment artificial intelligence machine learning AI ML Engineer || Hybrid || Phoenix AZ [email protected] |
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| Wed May 08 21:20:00 UTC 2024 |