Generative AI Engineer
3 weeks ago
- 7-8 years and 10-12 years.
Location : Chennai, Bengaluru , Mumbai , Pune
Please share your resumes to : sangameshb@hexaware.com
Responsibilities
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Lead GenAI Projects: Lead the development and deployment of generative AI solutions, ensuring effective execution from concept to deployment
Advanced Model Architectures: Deep understanding of and ability to implement advanced neural network architectures like transformers, attention mechanisms, etc.
Cloud and LLM: Lead the integration of large language models (LLMs) such as Azure OpenAI and OpenAI in cloud environments, particularly Azure services, and vector database
Scalability: Oversee the scaling of AI models to handle large user bases, ensuring optimal performance and scalability across cloud platforms.
Data Engineering: Lead data engineering efforts, including extraction and preprocessing of data from diverse sources for GenAI processing.
Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps.
Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications.
Security and Ethics: Knowledge of potential vulnerabilities in AI (e.g., adversarial attacks), mitigation strategies, and the ethical considerations of AI deployment.
Research Acumen: Ability to read, understand, and implement findings from the latest AI research papers.
Domain-Specific Knowledge: Depending on the application, advanced developers might need deep knowledge in specific areas, such as medical imaging, financial forecasting, etc.
Continuous Integration/Continuous Deployment (CI/CD): Skills in automating the testing and deployment of AI models, ensuring that models are always up-to-date and performan
Mentorship & Leadership: Mentor and guide junior team members, fostering a collaborative and growth-oriented environment.
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