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    Home/Jobs/Gen AI - Senior Engineer

    Gen AI - Senior Engineer

    Iris Software

    Noida / UP
    5-8 years
    4 days ago
    ₹25–44 LPA
    Full-time
    Onsite

    Skills Required

    Vector Database
    RAG
    Python
    Machine Learning
    Ollama
    API Integration
    SQL
    OCR
    FastAPI
    Git
    Pandas
    NumPy
    Scikit-learn
    Docker
    CI/CD

    Description

    Join Iris Software, one of India's Top 25 Best Workplaces in IT industry, as a Gen AI - Senior Engineer. Grow in an award-winning culture that values talent and ambitions. Own and shape your success story.

    Company: Iris Software

    Role: Gen AI - Senior Engineer

    Location: Noida, UP, India

    Role Focus:

    • Developing AI-powered solutions
    • Collaborating closely with QA and business teams to ensure solution quality, accuracy, and enterprise readiness

    Nice to have:

    • Financial /reporting domain knowledge
    • Exposure to test Automation
    • Docker and CI/CD
    • Experience with audit trails and compliance testing
    • Text classification and anomaly detection
    • Vector search or retrieval-based solutions(RAG)
    • QA and validation skills

    More skills:

    Machine learning basics, Ollama / local model integration, Debugging and logging, FastAPI or similar backend skills, Git & Version control

    Other:

    • Perks and Benefits for Irisians: world-class benefits for a personalized employee experience, supporting financial, health and well-being needs for holistic professional and personal growth
    • Cutting-edge projects, personalized career development, continuous learning and mentorship

    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.

    Deep Learning Specialization

    Coursera

    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

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