| USC GC ONLY ||Urgent Requirement || Data Scientist /ML Engineer/ Cloud AI Engineer || Remote at Remote, Remote, USA |
| Email: [email protected] |
| Hi I have a Job Requirement for you as Data Scientist /ML Engineer/ Cloud AI Engineer Please share your consultant profile on my mail. JOB DESCRIPTION : Job Title: Data Scientist /ML Engineer/ Cloud AI Engineer Location: Remote Job Description: Required Qualifications: Minimum 5 years with relevant experience Ideal candidate would be full stack and able to flex between front and back-end development for AI solutions. Must have experience in core Azure services as well as familiarity with Azure Cognitive and Generative AI (GenAI) services. Strong programming skills: Must have strong programming skills in languages such as Python, Java, and C#. They should be able to write clean, efficient, and maintainable code. Frontend Angular or React (no JS). Data analysis skills: Comfortable leveraging pretrained models or creating models using AutoML. Understanding of software development principles: Must have a good understanding of software development & DevOPS principles, including version control, testing, and continuous integration and deployment. Strong problem-solving skills Good communication skills Preferred Qualifications: General knowledge of machine learning algorithms: Should possess an understanding of machine learning algorithms and techniques, such as regression, classification, clustering, and deep learning. Lead the development and implementation of AI-based automation solutions across the organization, including identifying opportunities for automation, designing, and implementing solutions, and managing the deployment and maintenance of these solutions. Work with business analysts and UX designers to understand automation needs and develop solutions that meet business requirements. Develop and maintain a deep understanding of the latest AI technologies and trends and provide recommendations for how these can be leveraged to improve the organization's automation capabilities. Work closely with the IT department to ensure that automation solutions are integrated with existing systems and infrastructure, and that security and compliance requirements are met. Lead the development of best practices and standards for AI-based automation, including data management, model training and deployment, and monitoring and maintenance. Provide training and support to business users on how to use automation solutions and ensure that documentation and training materials are up to date. Monitor the performance of automation solutions and provide regular reports to senior management on their impact on business operations, including cost savings, efficiency gains, and other metrics. Contribute to the development of the organization's overall automation strategy, including identifying new areas for automation and making recommendations for investment in new technologies and tools. -- Keywords: csharp artificial intelligence machine learning user experience javascript information technology |
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| Fri Jan 12 00:51:00 UTC 2024 |