AI/ML Engineer

Role Overview

Qualcomm is seeking highly skilled Machine Learning & Data Science Engineers to 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 to deliver high-impact solutions.

Responsibilities

• 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, and Milvus.
• Design and implement scalable ETL and data ingestion pipelines using SQL, NoSQL, and big-data frameworks like Spark and PySpark.
• Develop scalable backend components and services using Python (FastAPI, Flask, Django).
• Automate workflows and data processing using Pandas and NumPy.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a relevant field.
• 1-3 years of experience across ML, NLP, and Data Engineering.
• Expert-level Python programming with hands-on experience in backend/API development.
• Strong knowledge of ML/NLP algorithms, LLMs, and RAG frameworks.
• Proficiency in SQL and familiarity with SQL/NoSQL databases.
• Experience with big data tools such as Spark or Hadoop.
• Experience with cloud platforms like AWS or Azure.

Skills

• Python
• PyTorch
• TensorFlow
• Apache Spark
• AWS