CHENNAI · FULLTIME
Ai/Ml Engineer
Qualcomm
Chennai · onsite · Posted 57d ago
Sourced from
Undisclosed1–3 yrsfulltimeChennai
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.4s
- Found the form on Naukri · 10 questions to answer1.1s
- Decided the answers for all of them2.9s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
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).
- 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.
- 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.
- 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.
- 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.
Sourced from naukri
Section · 02
Skills
Aws SagemakerData ingestioncloud platformsamazon web servicescassandraBusiness Requirementsazure mldata modelsBig Data FrameworksData EngineeringcloudAlgorithmsArchitectureMicrosoft AzureBackend DevelopmentBig DataAPI DevelopmentArtificial Intelligence
Section · Company
About Qualcomm

Qualcomm
Semiconductors
22k+
employees
1996
30 years old
San Diego,California
United States
About
Qualcomm invents breakthrough technologies that transform how the world connects, computes and communicates.
Industries
SemiconductorsHardware & Networking
Employee ratings
1,207 reviews
3.7/ 5
Culture
3.4
Career growth
3.2
Work-life
3.3
Employees rate it well for
Work Life Balance267Salary160Work Culture155Learning100Senior Management91
Find them on