Ai/Ml Engineer

Company: Qualcomm India Private Limited

Job Area: Engineering Group, Engineering Group > Software Engineering

Job Summary

As a leading technology innovator, Qualcomm is shaping nextgeneration intelligent and connected experiences. We are seeking multiple highly skilled Machine Learning Data Science Engineers who can independently drive endtoend development of scalable data pipelines, ML/NLP models, and productiongrade 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 highimpact solutions.

Key Responsibilities Machine Learning NLP

• Develop, finetune, and deploy ML and NLP models using TensorFlow, PyTorch, and Scikitlearn.
• Apply advanced NLP methods including Transformers, BERTbased models, and LLM finetuning.
• Build RetrievalAugmented 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 bigdata 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, welldocumented code.

Collaboration Ownership

• Work independently to design, build, and deliver complete ML/Data solutions.
• Partner with crossfunctional teams including systems, hardware, architects, and test teams.
• Translate business requirements into technical approaches and drive execution.

Required Qualifications

• Bachelors/Masters degree in Computer Science, Engineering, or relevant field.
• 1-3 years of experience across ML, NLP, and Data Engineering.
• Expertlevel Python programming with handson 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 (AWS, Azure).
• Strong communication, analytical, and problemsolving skills.
• Ability to work independently and take endtoend ownership of solutions.