AI Technical Specialist

Dear Candidates, Greetings from TCS TCS is looking for AI Technical Specialist Experience: 6-8 years Location: Hyderabad / Mumbai / Bangalore Must 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