Generative AI at Infosys
Listed by DevShelfHub
About the Role
Infosys is hiring a Generative AI professional in Bangalore for the Data & Analytics Unit. The role partners with client stakeholders to translate business goals into AI/ML and Generative AI use cases while building production-ready Python components for GenAI workflows.
You will develop ML pipelines, conduct model experimentation, and deliver end-to-end AI solutions in a consulting environment.
What you'll do
- Solution Delivery & Consulting
- Partner with client stakeholders to understand business goals and define AI/ML and GenAI use cases
- Contribute to solution design, effort estimation, and delivery planning
- Communicate findings, trade-offs, and recommendations through documentation and presentations
- Generative AI Development
- Build Python-based prototypes and production-ready GenAI workflow components
- Develop and refine prompts, templates, and guardrails
- Implement evaluation approaches measuring output quality and hallucination checks
- AI/ML Engineering
- Develop and maintain ML pipelines in Python for data preparation, training, inference, and monitoring
- Perform model experimentation, feature engineering, and performance tuning
- Collaborate with cross-functional teams to integrate AI services into applications
What we're looking for
- 3–5 years professional experience delivering Python-based solutions including AI/ML or GenAI
- Hands-on Generative AI implementation: prompt engineering, evaluation, iterative improvement
- Working knowledge of AI/ML fundamentals: supervised/unsupervised learning, model validation, metrics
- Strong Python programming with clean coding, testing, and debugging
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Deliver client-facing GenAI solutions combining consulting, prototyping, and production ML engineering.
- Partner with client stakeholders to define AI/ML and GenAI use cases and success metrics
- Contribute to solution design, effort estimation, and delivery planning
- Build Python-based prototypes and production-ready GenAI workflow components
- Develop and refine prompts, templates, and guardrails for quality and safety
- Implement evaluation approaches for accuracy, relevance, and hallucination checks
- Develop and maintain ML pipelines for data preparation, training, inference, and monitoring
- Perform model experimentation, feature engineering, and performance tuning
- Exposure to RAG, embeddings, vector search, and tool/function calling patterns
- MLOps practices: experiment tracking, model versioning, CI/CD for ML, production monitoring
About Infosys
- Industry
- Technology
- Company Size
- 500+
- Website
- infosys.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 5–8 years
- Location
- Bangalore, India
- Work Mode
- Hybrid
- Category
- AI / ML
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