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    Home/Jobs/Generative AI

    Generative AI

    Infosys

    Bengaluru
    5-8 years
    1 day ago
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Embeddings
    Vector Database
    Prompt Engineering
    Gen AI
    MLOps
    Experiment Tracking
    Model Versioning
    CI/CD for ML
    Production Monitoring
    Python
    AI/ML
    Evaluation
    Iterative Improvement

    Description

    Seeking a Generative AI professional to partner with clients, design AI solutions, and develop Python-based AI/ML components.

    Company: Infosys Limited

    Role: Generative AI

    Location: Bangalore

    Experience:

    • 5 - 8 Years
    • 3–5 years of professional experience delivering Python-based solutions including AI/ML or Generative AI components

    Key Skills:

    • Python
    • AI/ML
    • Generative AI
    • Prompt Engineering
    • Databricks
    • AI/ML Solution Architecture and Design
    • traditional AI ML

    Qualification:

    • Bachelor of Engineering
    • BTech
    • BSc
    • BCA
    • MTech
    • MCA
    • MSc
    • Bachelor’s degree in engineering or computers or AI

    Responsibilities:

    • Partner with client stakeholders to understand business goals and translate into AI/ML and Generative AI use cases
    • Define success metrics for AI initiatives
    • Contribute to solution design, effort estimation, and delivery planning in consulting environment
    • Communicate findings, trade-offs, and recommendations through documentation and presentations
    • Build Python-based prototypes and production-ready components for Generative AI workflows
    • Develop and refine prompts, templates, and guardrails to improve response quality, safety, and consistency
    • Implement evaluation approaches to measure output quality and drive continuous improvement
    • Develop and maintain ML pipelines in Python for data preparation, training, inference, and monitoring
    • Perform model experimentation, feature engineering, and performance tuning aligned to business requirements
    • Collaborate with cross-functional teams to integrate AI services into applications and workflows

    Additional responsibilities:

    • Deliver end-to-end AI/ML solutions in client-facing or consulting setup including requirement discovery and stakeholder management
    • Exposure to LLM application patterns such as RAG, embeddings, vector search, and tool/function calling
    • Familiarity with MLOps practices such as experiment tracking, model versioning, CI/CD for ML, and production monitoring
    • Experience with scalable data/ML platforms and workflows like Databricks-style notebook-to-production practices
    • Balance rapid prototyping with production readiness including performance, security, and reliability considerations

    Nice to have:

    • Experience with RAG
    • Experience with Embeddings
    • Experience with Vector Databases
    • Experience with Prompt Engineering
    • Experience with MLOps

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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