Data Science- Generative AI
All India, Tirupati • 1 month ago
Experience: 5 to 9 Yrs
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Job Description
As a motivated and innovative senior developer specializing in Generative AI, you will have the opportunity to explore new problems, drive innovation, and utilize advanced machine learning techniques and programming skills, particularly in Python. Your main responsibility will involve working on real-life client problems to develop production-grade AI / GenAI solutions.
Key Responsibilities:
- Lead and mentor a team of AI/ML engineers and GenAI developers
- Define and enforce software engineering best practices and ML lifecycle standards
- Architect, design, and deploy scalable AI/ML and GenAI solutions
- Implement end-to-end ML pipelines (data ingestion model training deployment monitoring)
- Drive LLM-based solutions, prompt engineering, and AI agent workflows
- Integrate AI/ML models with backend systems, APIs, databases, and messaging platforms
- Ensure production scalability, performance optimization, and security compliance
- Collaborate closely with Product, Engineering, and Business stakeholders
Preferred Qualifications:
- Advanced degree in Computer Science / AI / ML / Data Science
- Experience building scalable GenAI applications
- Prior experience in building enterprise AI platforms
- Exposure to RAG architecture and multi-agent systems As a motivated and innovative senior developer specializing in Generative AI, you will have the opportunity to explore new problems, drive innovation, and utilize advanced machine learning techniques and programming skills, particularly in Python. Your main responsibility will involve working on real-life client problems to develop production-grade AI / GenAI solutions.
Key Responsibilities:
- Lead and mentor a team of AI/ML engineers and GenAI developers
- Define and enforce software engineering best practices and ML lifecycle standards
- Architect, design, and deploy scalable AI/ML and GenAI solutions
- Implement end-to-end ML pipelines (data ingestion model training deployment monitoring)
- Drive LLM-based solutions, prompt engineering, and AI agent workflows
- Integrate AI/ML models with backend systems, APIs, databases, and messaging platforms
- Ensure production scalability, performance optimization, and security compliance
- Collaborate closely with Product, Engineering, and Business stakeholders
Preferred Qualifications:
- Advanced degree in Computer Science / AI / ML / Data Science
- Experience building scalable GenAI applications
- Prior experience in building enterprise AI platforms
- Exposure to RAG architecture and multi-agent systems
Skills Required
Machine Learning
Python
Software engineering
Performance optimization
Security compliance
Generative AI
AIML Engineering
AI tooling
ML frameworks
AI ecosystems
Scalable development
ML lifecycle
ML pipelines
LLMbased solutions
AI agent workflows
Backend systems integration
APIs integration
Database integration
Messaging platforms integration
RAG architecture
Multiagent systems
Posted on: March 25, 2026
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