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Machine Learning Engineer/AI Engineer
eTeam
2 hours ago
Full-time
On-site
Cincinnati, Ohio, United States
Job Role: Machine Learning Engineer/AI Engineer
Location: Lunken Center, Cincinnati Ohio (only), Hybrid 3 days in office a week.
Duration: 6 months contract
Job Description: Summary - Build a product for Sales Enablement which utilized artificial intelligence - Generative AI and Machine learning models to enhance user experience.
Responsibilities: • This role will focus on the Machine Learning models, development, and model risk management in a team setting. They will be part of an existing on full stack and AI engineers. • They will understand business problem, comprehend data, systems and existing solutions, harvest data from data pipeline and propose models for Sales Enablement. • They will build a ML model that can be delivered in production setting with available and existing data set. • They are expected to build and test the model in the application setting and meet all client-specific SDLC requirements. • They will collaborate with Model Risk Management for evaluation and evidence gathering. • They understand responsible AI principles and will implement them as controls or integrate required solutions. • Understand and prior experience of Generative AI development, validation and evaluation techniques is a plus.
Required Skills: Python, Java, Prior experience with Machine Learning models and MRM in a production setting
Preferred Skills:
Full stack engineering in a production setting in a large enterprise.
Job Description: Summary - Build a product for Sales Enablement which utilized artificial intelligence - Generative AI and Machine learning models to enhance user experience.
Responsibilities: • This role will focus on the Machine Learning models, development, and model risk management in a team setting. They will be part of an existing on full stack and AI engineers. • They will understand business problem, comprehend data, systems and existing solutions, harvest data from data pipeline and propose models for Sales Enablement. • They will build a ML model that can be delivered in production setting with available and existing data set. • They are expected to build and test the model in the application setting and meet all client-specific SDLC requirements. • They will collaborate with Model Risk Management for evaluation and evidence gathering. • They understand responsible AI principles and will implement them as controls or integrate required solutions. • Understand and prior experience of Generative AI development, validation and evaluation techniques is a plus.
Required Skills: Python, Java, Prior experience with Machine Learning models and MRM in a production setting
Preferred Skills:
Full stack engineering in a production setting in a large enterprise.