Qualcomm India Private Limited
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, hardware, architects, and test teams.
- Translate business requirements into technical approaches and drive execution.
Required Qualifications
- Bachelor’s/Master’s degree in Computer Science, Engineering, or relevant field.
- 4–15 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 (AWS, Azure).
- Strong communication, analytical, and problem‑solving skills.
- Ability to work independently and take end‑to‑end ownership of solutions.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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If you would like more information about this role, please contact Qualcomm Careers .
