Machine Learning Engineer Job in Chennai at Qualcomm

Qualcomm is hiring for the role of Machine Learning Engineer!

Responsibilities of the Candidate:

• Design and implement robust ETL pipelines and data integration workflows using SQL, NoSQL, and big data technologies (e.g., Spark, Hadoop).
• Optimize data storage and retrieval using relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra).
• Ensure data quality, validation, and governance across systems.
• Develop and maintain data models and documentation for data flows and architecture
• Build, fine-tune, and deploy ML/NLP models using frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Apply advanced NLP techniques including Transformers, BERT, and LLM fine-tuning.
• Implement Retrieval-Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, and vector databases (e.g., FAISS, Milvus).
• Operationalize ML models using APIs, model registries (e.g., Hugging Face), and cloud services (e.g., SageMaker, Azure ML).
• Develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django.
• Automate data workflows and model training pipelines using Python libraries (e.g., Pandas, NumPy, SQLAlchemy).
• Collaborate with cross-functional teams to integrate ML solutions into production systems
• Work closely with data scientists, analysts, and software engineers in Agile/Scrum teams.
• Translate business requirements into technical solutions.
• Maintain clean, well-documented code and contribute to knowledge sharing

Requirements:

• Strong Python programming skills and experience with modern Python libraries and frameworks.
• Deep understanding of ML/NLP concepts and practical experience with LLMs and RAG architectures.
• Proficiency in SQL and experience with both SQL and NoSQL databases.
• Experience with big data tools (e.g., Spark, PySpark) and cloud platforms (AWS, Azure).
• Familiarity with data visualization tools like Power BI or Tableau.
• Excellent problem-solving, communication, and collaboration skills