Develop data science solutions to be tested and deployed to enable data-driven recommendations and outcomes; implement and scale-up high availability models and algorithms for business and corporate functions.
Compensation
Salary range for the position: $150,000 - $150,000/Yr.
Responsibilities
Develop data science solutions that can be tested and deployed to enable data driven recommendations and outcomes.
Leverage machine learning modelling and algorithms to deliver on use cases related to client acquisition, including marketing, targeting, digital and products strategy.
Build modeling solutions to solve business problems and lead the development of data science and modeling capabilities in the cloud transformation journey.
Investigate and create experimental prototypes that work on specific domains and verticals.
Analyze large, complex datasets to reveal underlying patterns, correlations, and trends quantitatively.
Lead data science efforts on high-priority initiatives, build and evaluate machine learning models, and mentor junior team members.
Compensation
The base salary compensation range being offered for this role is $116,000 - $141,000 USD annually.
Responsibilities
Build models end to end
Develop prototypes and products
Lead data science efforts on anomaly detection, forecasting, and predictive modeling
Partner with AI Engineers and Developers
Communicate findings and translate results into actionable business recommendations
Requirements
Bachelor's degree in Computer Science, Information Technology, Data Science, Mathematics, Statistics, Economics, Business Administration, or a related field
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality.
Responsibilities
Design and build advanced AI applications and systems
Manage end-to-end application pipelines
Integrate generative AI models into projects
Develop neural network architectures
Implement intelligent systems such as chatbots and image processing tools
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Design and build advanced AI applications and systems
Manage end-to-end application pipelines
Integrate generative AI models into projects
Develop neural network architectures
Implement intelligent systems such as chatbots and image processing tools
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Design and build advanced AI applications and systems
Manage end-to-end application pipelines
Integrate generative AI models into projects
Develop neural network architectures
Implement intelligent systems such as chatbots and image processing tools
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with stakeholders to understand project requirements and translate them into technical solutions.
Continuously monitor and optimize AI models and systems to maintain high performance and reliability.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Design and build advanced AI applications and systems
Manage end-to-end application pipelines
Integrate generative AI models into projects
Develop neural network architectures
Implement intelligent systems such as chatbots and image processing tools
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with stakeholders to understand project requirements and translate them into technical solutions.
Continuously monitor and optimize AI models and systems to maintain high performance and reliability.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with stakeholders to understand project requirements and translate them into technical solutions.
Continuously monitor and optimize AI models and systems to maintain high performance and reliability.
Sr. AI/ML EngineerNewUnitedHealth Group · Remote, US+2 more