22 hours ago
Bengaluru, IndiaEntry Level / Mid Level
Responsibilities
- Design, develop, train, optimize, evaluate, and deploy machine learning and deep learning models.
- Collect and preprocess data, perform feature engineering, and assess model performance.
- Develop AI-based solutions for prediction, optimization, automation, and analytics.
- Integrate scalable AI solutions into production environments in collaboration with software, data, and domain experts.
- Research emerging AI technologies and evaluate their applicability to engineering and business problems.
- Prepare technical documentation, reports, and stakeholder presentations.
Requirements
- M.Tech in AI, Machine Learning, Computer Science, Data Science, Electrical Engineering, or a related discipline.
- Bachelor’s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or a related field is listed among the minimum qualifications.
- Strong understanding of machine learning, deep learning, Generative AI, and Large Language Models.
- Proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Knowledge of data structures, algorithms, and software engineering practices.
- Familiarity with model deployment, MLOps, and cloud platforms is a plus.
- Preferred qualifications include Generative AI, RAG pipelines, LLM fine-tuning, AI agents, NLP, computer vision, reinforcement learning, Git, Docker, and Kubernetes experience.
- Publications, academic projects, or internships in AI/ML are desirable.
- Strong analytical, problem-solving, communication, collaboration, learning, and independent-working abilities.
Benefits
- Full-time employment.
- Fresh M.Tech graduates may apply.
- Qualcomm provides reasonable accommodations during the application and hiring process for individuals with disabilities.
Tech Stack
Categories
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.