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AI, Machine Learning & Data Science Engineering Leads

Qualcomm · Chennai

Full-time Posted 4 days ago

About this role

## Company: Qualcomm India Private Limited ## Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm is shaping next‑generation intelligent and connected experiences. We are seeking multiple highly skilled Machine Learning & Data Science Engineers who can independently drive end‑to‑end development of scalable data pipelines, ML/NLP models, and production‑grade Python systems. These roles require strong technical depth across Machine Learning, NLP, Data Engineering, and Python backend development, along with the ability to work autonomously and deliver high‑impact solutions

Key Responsibilities: Machine Learning & NLP * Develop, fine‑tune, and deploy ML and NLP models using TensorFlow, PyTorch, and Scikit‑learn. * Apply advanced NLP methods including Transformers, BERT‑based models, and LLM fine‑tuning. * Build Retrieval‑Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, FAISS, Milvus, etc

* Work with model registries and cloud ML environments (HuggingFace, AWS Sagemaker, Azure ML). Data Engineering & Infrastructure * Design and implement scalable ETL and data ingestion pipelines using SQL, NoSQL, and big‑data frameworks (Spark, Hadoop, PySpark). * Build efficient data models, schema designs, and storage strategies (PostgreSQL, MongoDB, Cassandra, etc.)

* Ensure data quality, validation, and governance across distributed systems. * Own documentation and architecture of data flows. Python Development * Develop scalable backend components and services using Python (FastAPI, Flask, Django)

* Automate workflows, model pipelines, and data processing using Pandas, NumPy, SQLAlchemy. * Integrate ML solutions into production systems with clean, modular, well‑documented code. Collaboration & Ownership * Work independently to design, build, and deliver complete ML/Data solutions

* Partner with cross‑functional teams including systems

Apply for this role on Qualcomm’s official careers site.

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