AI Technical Specialist

Dear Candidates,Greetings from TCS!!!!TCS is looking for AI Technical SpecialistExperience: 6-8 yearsLocation: Hyderabad / Mumbai / BangaloreMust have skills:- Design end-to-end AI solution architectures that are scalable, secure, and align with business objectives and technical requirements. - Create detailed architectural plans for AI systems, including data pipelines, model deployment strategies, and integration with existing IT infrastructure. - Collaborating with cross-functional teams of data scientists, software developers, and business stakeholders to understand requirements and translate them into AI solutions. - Evaluate and select the most suitable tools, platforms, and technologies for AI development, considering factors like scalability, cost, and compatibility. - Oversee the development and training of machine learning models, ensuring they meet the desired performance metrics. Good to have hands-on experience on any AI platform. - Analyze large datasets to extract meaningful insights and patterns that can inform AI model development. - Oversee and ensure the integration of AI solutions with existing enterprise systems, databases, infrastructure and alignment with CI/CD pipelines. - Optimizing and fine-tuning existing AI models to enhance their accuracy, efficiency, and performance. - Deploying AI solutions into production environments and ensuring their integration with existing systems. Good to have hands-on experience on any API integration platform. - Monitoring and evaluating the performance of AI systems, adjusting as necessary to improve outcomes. - Manage potential risks and implement AI technologies, applications, and infrastructure in keeping with ethical policies.Good to have skills:- Design end-to-end AI solution architectures that are scalable, secure, and align with business objectives and technical requirements. - Create detailed architectural plans for AI systems, including data pipelines, model deployment strategies, and integration with existing IT infrastructure. - Collaborating with cross-functional teams of data scientists, software developers, and business stakeholders to understand requirements and translate them into AI solutions. - Evaluate and select the most suitable tools, platforms, and technologies for AI development, considering factors like scalability, cost, and compatibility. - Oversee the development and training of machine learning models, ensuring they meet the desired performance metrics. Good to have hands-on experience on any AI platform. - Analyze large datasets to extract meaningful insights and patterns that can inform AI model development. - Oversee and ensure the integration of AI solutions with existing enterprise systems, databases, infrastructure and alignment with CI/CD pipelines. - Optimizing and fine-tuning existing AI models to enhance their accuracy, efficiency, and performance. - Deploying AI solutions into production environments and ensuring their integration with existing systems. Good to have hands-on experience on any API integration platform. - Monitoring and evaluating the performance of AI systems, adjusting as necessary to improve outcomes. - Manage potential risks and implement AI technologies, applications, and infrastructure in keeping with ethical policies.Roles and responsibilities:- Design end-to-end AI solution architectures that are scalable, secure, and align with business objectives and technical requirements. - Create detailed architectural plans for AI systems, including data pipelines, model deployment strategies, and integration with existing IT infrastructure. - Collaborating with cross-functional teams of data scientists, software developers, and business stakeholders to understand requirements and translate them into AI solutions. - Evaluate and select the most suitable tools, platforms, and technologies for AI development, considering factors like scalability, cost, and compatibility. - Oversee the development and training of machine learning models, ensuring they meet the desired performance metrics. Good to have hands-on experience on any AI platform. - Analyze large datasets to extract meaningful insights and patterns that can inform AI model development. - Oversee and ensure the integration of AI solutions with existing enterprise systems, databases, infrastructure and alignment with CI/CD pipelines. - Optimizing and fine-tuning existing AI models to enhance their accuracy, efficiency, and performance. - Plan and Drive enterprise-wide AI literacy and capability development programs, manage organizational change, and foster a culture of continuous learning and innovation. - Develop actionable roadmaps, oversee the development and deployment of AI models, and ensure successful integration with existing systems and workflows. - Deploying AI solutions into production environments and ensuring their integration with existing systems. Good to have hands-on experience on any API integration platform. - Monitoring and evaluating the performance of AI systems, adjusting as necessary to improve outcomes. - Manage potential risks and implement AI technologies, applications, and infrastructure in keeping with ethical policies

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