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    Home/Jobs/AI ML Architect

    AI ML Architect

    Alight

    Noida
    8-10 years
    Today
    ₹38–63 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Prompt Engineering
    Gen AI
    Agentic AI
    LLM Security
    Foundation Models
    Github Copilot
    Input Validation
    Data Verification
    Python
    Apache Spark
    Scala
    PyTorch
    TensorFlow

    Description

    Seeking a hands-on AI/ML Architect to design, build, and deploy scalable AI/ML solutions as an individual contributor.

    Company: Alight

    Role: AI ML Architect

    Location: Noida, Uttar Pradesh, India

    Experience:

    • 8-10 years total experience
    • 5+ years in AI/ML systems
    • 5+ years in AI/Gen AI/ML projects

    Key Skills:

    • AI/ML systems
    • Python
    • Spark (ScalaSpark or PySpark)
    • TensorFlow
    • Keras
    • PyTorch
    • Java
    • Spring AI
    • Spring Boot
    • AWS (SageMaker, Glue, Lambdas)
    • Data engineering
    • Feature engineering
    • Model evaluation
    • APIs
    • Ingestion pipelines
    • CI/CD pipelines (Github Actions, Gitlab, Jenkins)
    • Deep learning architectures (CNNs, RNNs, reinforcement learning)
    • Agentic AI
    • LLMs and foundation models
    • RAG
    • Prompt engineering
    • LLM security practices
    • Data preparation
    • Agile
    • DevOps

    Qualification:

    • Master’s degree in Computer Science, Data Science, Math, Actuarial Science, Engineering, or related field

    Role Focus:

    • Design, build, and deploy scalable AI/ML solutions
    • Write production grade code
    • Build models and architect ML platforms
    • Collaborate with cross-functional engineering, product, and domain teams
    • Design and develop search and chat applications using Agentic AI
    • Design AI paved paths for engineering organization
    • Experiment and evaluate machine learning model performance
    • Analyze and interpret experiment results to improve models
    • Develop and tune algorithms with stakeholders
    • Communicate technical ideas to non-technical audiences
    • Evaluate, fine-tune, and deploy LLMs and foundation models
    • Implement RAG, guardrails, and prompt engineering best practices
    • Write production quality Python code for feature engineering, model evaluation, and interface services
    • Build high performant ingestion pipelines
    • Mentor engineers on ML best practices
    • Collaborate on a high-performing, agile global team

    Additional responsibilities:

    • Stay up to date with new tools and technologies and evaluate their business impact
    • Secure model deployment, input validation, and data verification
    • Work with CI/CD pipelines
    • Work in Agile and DevOps development processes

    Other:

    • Competitive total rewards package
    • Continuing education and training
    • Tremendous potential with a growing worldwide organization
    • No use of generative AI tools during application process

    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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