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.

Key Skills:

Machine Learning
NLP
Data Engineering
Python
TensorFlow
PyTorch
Scikit-learn
Transformers
BERT-based models
LLM fine-tuning
LangChain
LlamaIndex
FAISS
Milvus
HuggingFace
AWS Sagemaker
Azure ML
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
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

Other:

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

Engineer, Senior

Skills Required

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Key Skills:

Qualification:

Role Focus:

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