AI, Machine Learning & Data Science Engineering Leads
SunGreenH2
Software Engineering, Data Science
Chennai, Tamil Nadu, India
Posted on Mar 14, 2026
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
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.
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.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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).
- 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.
- 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.
- 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.
- 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.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
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.
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.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.