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
