AI/ML Engineer

Qualcomm; Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Qualcomm India Private Limited in Chennai is seeking multiple ML & Data Engineering Engineers to drive end-to-end development of scalable data pipelines, ML/NLP models, and production-grade Python systems.

You will work on ML/NLP algorithms, LLMs, and RAG, designing ETL pipelines and scalable data storage, while collaborating with cross-functional teams across systems, hardware, and test groups.

Qualifications

• Bachelor's/Master's degree in CS, Eng or related field.
• 1-3 years' experience in ML, NLP, and Data Engineering.
• Expert-level Python with backend/API development.
• Strong knowledge of ML/NLP algorithms, LLMs, and RAG.
• Proficiency in SQL; experience with SQL/NoSQL databases.
• Experience with Spark or Hadoop.
• Experience with cloud platforms (AWS, Azure).
• Excellent communication and problem-solving skills.
• Ability to work independently and own end-to-end solutions.

Responsibilities

• Develop, fine-tune, and deploy ML and NLP models using TensorFlow, PyTorch, and Scikit-learn.
• Build scalable ETL and data ingestion pipelines using SQL, NoSQL, and big-data frameworks (Spark, Hadoop, PySpark).
• Develop scalable backend components and services using Python (FastAPI, Flask, Django).
• Collaborate with cross-functional teams and own end-to-end ML/Data solutions.

Skills

Python programming

ML/NLP knowledge

Data engineering

SQL/NoSQL

Cloud platforms (AWS/Azure)

Communication & collaboration

Independent ownership

Education

Bachelor's degree in CS/Engineering

Master's degree in relevant field

Tools

Spark

Hadoop

PostgreSQL

MongoDB

TensorFlow/PyTorch

Job description

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.

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.
• 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 (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.
• 1-3 years of experience across ML, NLP, and Data Engineering.

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 [e-mail] 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.