Engineer

Skip to main contentOur CompanyOur BusinessSearch for JobsJoin Talent NetworkFAQsProfileEnglishSign InSingle PositionView All JobsEngineer, AssociateHyderabad, Telangāna, India No longer accepting applications.Job ID3090304As 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 & NLPDevelop, 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 & InfrastructureDesign 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 DevelopmentDevelop 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 & OwnershipWork 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 QualificationsBachelor’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.