Generative AI solution customization, enhancement and implementation using Infosys and Industry standard tools and platforms
Built MCP and Agentic based solutions using various frameworks.
Employ Prompt engineering techniques to evaluate model behavior under various input conditions and refining prompts for better accuracy and desired results.
Testing of AI applications using tools and capturing standard and custom metrics
Stay up-to-date with the latest advancements in Generative AI and testing methodologies.
Work closely with cross-functional teams to ensure prompts align with company objectives and user experience.
Identify and report bugs, performance bottlenecks, and safety issues.
Technical and Professional Requirements :
Bachelor's degree in computer engineering or equivalent
10--12 years of experience in Data Science, AI, ML and Gen AI area using any programming or scripting languages.
Strong communication and collaboration skills.
Proficiency in Python development or any other language used for Data Science or AI ML.
Excellent analytical and problem-solving skills.
Explore and evaluate new technologies and tools to improve our development processes.
Contribute to the full software development lifecycle, from design and implementation to testing and deployment.
Experience with cloud platforms like AWS, Azure, or GCP.
Hands-on Generative AI based solution implementation
Preferred Skills : Technology->Machine Learning->Python,Technology->Data Science->Machine Learning,Technology->Machine Learning->Generative AI,Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai Educational Requirements : Bachelor of Engineering Service Line : Infosys Quality Engineering
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