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    Home/Jobs/AI, Machine Learning & Data Science Engineering Leads

    AI, Machine Learning & Data Science Engineering Leads

    Qualcomm India Private Limited

    Chennai
    4-15 years
    14 days ago
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    LlamaIndex
    Hugging Face
    TensorFlow
    PyTorch
    Scikit-learn
    Python
    Apache Spark
    Hadoop
    PySpark
    PostgreSQL
    MongoDB
    Cassandra

    Description

    Qualcomm is seeking highly skilled Machine Learning & Data Science Engineers to drive end-to-end development of scalable data pipelines, ML/NLP models, and production-grade Python systems.

    Company: Qualcomm India Private Limited

    Role: AI, Machine Learning & Data Science Engineering Leads

    Location: Chennai, Tamil Nadu, India

    Experience:

    • 4–15 years of experience across ML, NLP, and Data Engineering
    • 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

    Key Skills:

    • Machine Learning
    • NLP
    • Data Engineering
    • Python
    • TensorFlow
    • PyTorch
    • Scikit-learn
    • Transformers
    • BERT-based models
    • LLM fine-tuning
    • LangChain
    • LlamaIndex
    • FAISS
    • Milvus
    • SQL
    • NoSQL
    • big-data frameworks (Spark, Hadoop, PySpark)
    • PostgreSQL
    • MongoDB
    • Cassandra
    • FastAPI
    • Flask
    • Django
    • Pandas
    • NumPy
    • SQLAlchemy

    Qualification:

    • Bachelor’s/Master’s degree in Computer Science, Engineering, or relevant field
    • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field
    • Master's degree in Engineering, Information Systems, Computer Science, or related field
    • PhD in Engineering, Information Systems, Computer Science, or related field

    Role Focus:

    • Develop, fine-tune, and deploy ML and NLP models
    • Apply advanced NLP methods
    • Build Retrieval-Augmented Generation (RAG) pipelines
    • Work with model registries and cloud ML environments
    • Design and implement scalable ETL and data ingestion pipelines
    • Build efficient data models, schema designs, and storage strategies
    • Ensure data quality, validation, and governance
    • Own documentation and architecture of data flows
    • Develop scalable backend components and services
    • Automate workflows, model pipelines, and data processing
    • Integrate ML solutions into production systems
    • Work independently to design, build, and deliver complete ML/Data solutions
    • Partner with cross-functional teams
    • Translate business requirements into technical approaches

    Other:

    • Qualcomm is an equal opportunity employer
    • Commitment to providing an accessible process for individuals with disabilities
    • Email: for accommodations
    • Qualcomm expects its employees to abide by all applicable policies and procedures

    Prepare for this role

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

    Python for Everybody Specialization

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    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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