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.
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The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
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