AI Engineer
Qualcomm · Bengaluru · onsite · Posted 28d ago
Undisclosed0–3 yrsfulltimeSourced from
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About this role
Company:
Job Area: Engineering Group, Engineering Group > Hardware Engineering
Job Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements.
Minimum Qualifications - Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.
- Experience: 0-3 Years (Fresh M.Tech graduates may apply)
We are seeking a highly motivated AI Engineer with an M.Tech degree in Artificial Intelligence, Machine Learning, Computer Science, Electrical Engineering, or a related field. The candidate will be responsible for developing, training, optimizing, and deploying AI/ML models to solve complex engineering and business problems. The role involves working closely with cross-functional teams to build scalable AI solutions and contribute to innovation initiatives.
Key Responsibilities - Design, develop, and deploy machine learning and deep learning models.
- Perform data collection, preprocessing, feature engineering, and model evaluation.
- Develop AI-based solutions for prediction, optimization, automation, and analytics.
- Fine-tune and optimize models for performance, scalability, and accuracy.
- Collaborate with software, data, and domain experts to integrate AI solutions into production environments.
- Conduct research on emerging AI technologies and evaluate their applicability.
- Create technical documentation, reports, and presentations for stakeholders.
- M.Tech in AI, Machine Learning, Computer Science, Data Science, Electrical Engineering, or related discipline.
- Strong understanding of Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
- 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.
- Strong analytical, problem-solving, and communication skills.
- Experience with Generative AI, RAG pipelines, LLM fine-tuning, or AI agents.
- Knowledge of NLP, computer vision, or reinforcement learning.
- Familiarity with Git, Docker, Kubernetes, and CI/CD workflows.
- Publications, academic projects, or internships in AI/ML are desirable.
- Innovation and curiosity
- Strong technical aptitude
- Ability to learn quickly and work independently
- Team collaboration and effective communication
- Ownership and problem-solving mindset
Education: M.Tech (AI/ML, Computer Science, Data Science, Electrical Engineering, or related field)
Employment Type: Full-Time
Sourced from naukri
Skills
Automationcloud platformsAnalogComputer Visionai technologiesai engineerAnalyticsData StructurescloudData CollectionCommunication SkillsAlgorithmsDeep LearningAi SolutionsData ScienceArtificial Intelligence
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.
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SemiconductorsHardware & Networking
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