Generative AI- Sr. Associate

Job Summary

Should have worked hands-on in setting up ML services on public cloud and delivering ML based solutions.

Should have 7 to 10 years of experience in AI ML and at least 1 year in GenAI leveraging cloud based GenAI services.

Should have through knowledge of end-to-end deployment of GenAI solutions to customers cutting across the industry prevalence of GenAI.

Responsibilities

Key Responsibilities

Research and Development

Stay updated on generative AI advancements and methodologies conducting research to explore new techniques and experimenting with cutting-edge frameworks and libraries.

Architecture Design

Design tailored generative AI systems for specific applications developing scalable architectures leveraging cloud infrastructure and balancing model complexity with practical deployment considerations.

Model Development and Training

Develop custom generative models using deep learning frameworks training models on large-scale datasets with advanced optimization techniques and fine-tuning parameters to optimize performance metrics.

Performance Evaluation and Optimization

Evaluate model performance using quantitative and qualitative metrics identifying areas for improvement and optimizing model architectures to ensure efficiency and effectiveness of generative AI solutions.

Integration and Deployment

Integrate generative AI models into existing systems and applications developing APIs and interfaces for seamless interaction with other components and ensuring compatibility scalability and reliability in production environments.

Collaboration and Communication

Collaborate with cross-functional teams to understand requirements effectively communicate technical concepts to stakeholders and provide guidance and mentorship to junior team members.

Technical Expertise

Should have worked hands on in setting up ML services on public cloud and delivering ML based solutions.

Should have 3 to 5 years of experience in AI ML and at least 1 year in GenAI leveraging cloud based GenAI services.

Should have through knowledge of end-to-end deployment of GenAI solutions to customers cutting across the industry prevalence of GenAI.

Should have handson experience in prompt engineering maintaining prompt libraries managing GenAI delivered code filtering avoiding duplicates etc.

Should have created large scale PoVs or PoCs and presented to senior client teams.

Should be able to define GenAI adoption roadmap for client industries based on their Enterprise needs.

#LI-LK1