AIML - Sr Engineer

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Senior Engineer: Job Title: Senior Machine Learning & Data Engineer

We are looking for a highly skilled and experienced Machine Learning & Data Engineer to join our team. This hybrid role blends the responsibilities of a data engineer and a machine learning engineer, with a strong emphasis on Python development. You will be instrumental in designing scalable data pipelines, building and deploying ML/NLP models, and enabling data-driven decision-making across the organization.

Key Responsibilities

• Data Engineering & Infrastructure
  • 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.
• Machine Learning & NLP
  • 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).
• Python Development
  • 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.
• Collaboration & Communication
  • 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.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience in both data engineering and machine learning roles.
• 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.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

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 disability-accomodations@qualcomm.com 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.

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 .