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    Home/Jobs/Engineer, Senior

    Engineer, Senior

    Qualcomm India Private Limited

    Hyderabad
    4-15 years
    46 days ago
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

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

    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: Engineer, Senior

    Location: Hyderabad, Telangana, India

    Experience:

    • 4–15 years of experience across ML, NLP, and Data Engineering
    • 4+ years of Software Engineering or related work experience (Bachelor's degree)
    • 3+ years of Software Engineering or related work experience (Master's degree)
    • 2+ years of Software Engineering or related work experience (PhD)
    • 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

    Qualification:

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

    Role Focus: • Develop, fine-tune, and deploy ML and NLP models • Build Retrieval-Augmented Generation (RAG) pipelines • Design and implement scalable ETL and data ingestion pipelines • Build efficient data models, schema designs, and storage strategies • Develop scalable backend components and services using Python • Automate workflows, model pipelines, and data processing • Integrate ML solutions into production systems with clean, modular, well-documented code • Work independently to design, build, and deliver complete ML/Data solutions • Partner with cross-functional teams • Translate business requirements into technical approaches and drive execution

    More skills:

    Machine Learning, NLP, Data Engineering, BERT-based models, LLM fine-tuning, FAISS, Milvus, AWS Sagemaker, Azure ML, SQL, NoSQL, big-data frameworks (Spark, Hadoop, PySpark), Cassandra, FastAPI, Flask, Django, Pandas, NumPy, SQLAlchemy

    Other:

    • Strong communication, analytical, and problem-solving skills
    • Ability to work independently and take end-to-end ownership of solutions

    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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