The Job

AI / ML Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering · Machine Learning

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In short

Qualcomm is looking for an AI/ML Engineer with 5-10 years of experience in Bangalore, India. The role involves applying AI and machine learning techniques, with expertise in deep learning, NLP, and Transformer architectures. Responsibilities include fine-tuning LLMs, developing AI solutions on Qualcomm platforms, and collaborating with various stakeholders.

Responsibilities

  • Fine-tune large language models using custom content (documents, data, etc.).
  • Articulate and document solutions architecture and lessons learned for each exploration and accelerated incubation.
  • Act as a liaison between stakeholders and project teams, delivering feedback and enabling necessary changes in product performance or presentation.
  • Develop and optimize AI solutions on Qualcomm platforms, focusing on performance, efficiency, and real-world deployment constraints.
  • Collaborate with startups, developers, and students, enabling them to understand and adopt emerging technologies through technical guidance, community engagement, and ecosystem support.

Requirements

  • 5 to 10 years of experience applying AI and machine learning techniques to practical technology solutions.
  • Expertise in ML, deep learning, TensorFlow, NLP, and Transformer architecture.
  • Strong programming skills in Python, scripting, C/C++, with additional proficiency in Java as a complementary skill.
  • Experience working with various target OS’s like Android, Windows, Linux.
  • Familiarity with deploying large language models (LLMs) and embedding model/sentence transformers in production use cases.
  • Familiar with core machine learning model architecture and conventions, including CNNs, RNNs, Transformers, and ensemble methods.
  • Thorough knowledge of basic algorithms, object-oriented design principles, and best practices.
  • Ability to fine-tune large language models using custom content (documents, data, code).
  • Ability to optimize Model inferences using techniques such as quantization, pruning, distillation while evaluating the runtime results on specific HW such as CPU, GPU, NPU etc.
  • Proficiency in working with large-scale datasets, preprocessing, and creating appropriate data representations and applying concepts such as concepts such as RAG, GGML to optimize results.
  • Ability to keep up with newly released advances in AI/ML, toolsets, and architecture for both Edge and Cloud AI across multiple OS’s and environments.
  • Skilled in building and maintaining agentic workflows for autonomous AI systems, enabling goal-driven, adaptive behavior across complex tasks.
  • Proficient in version control systems such as Git, with hands-on experience in collaborative workflows, branching strategies, and contributing to open-source projects.
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
  • OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
  • OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
  • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Desired Qualifications

  • Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.
  • Experience working on experimental/proto solutions and implementing end-to-end ML/NLP systems from development to deployment.
  • Familiarity with relevant machine learning/deep learning frameworks such as PyTorch, TensorFlow.
  • Exposure to transformer-based models (e.g., BERT, GPT, T5, Llama).
  • Global team collaboration experience.
  • Familiarity with cloud environments (GCP/AWS).
  • Ability to document and create training solutions based on projects worked on.
  • Deep understanding of the specific industry or domain where AI/ML solutions will be applied.
  • Knowledge of relevant regulations, data privacy, and ethical considerations.
  • Effective collaboration in cross-functional teams.
  • Effective communication skills with non-technical audiences.
  • Community collaboration through open-source contributions and knowledge sharing is a strong value-add skill.
  • Proficiency in rapid prototyping and iterative development.
  • Ability to tackle novel challenges and think creatively.
  • Knowledge of deployment strategies and scalability considerations.
  • Familiarity with optimizing model performance and resource usage.
  • Commitment to stay updated with AI/ML advancements.
  • Learning agility and adaptability in dynamic environments.
  • Ability to balance multiple projects and priorities.

Benefits

  • Qualcomm is an equal opportunity employer.
  • Qualcomm is committed to providing an accessible process.
  • Qualcomm is committed to making our workplace accessible for individuals with disabilities.
#AI#Machine Learning#Deep Learning#NLP#Transformer#Python#C++#Java#Android#Windows#Linux#LLM#CNN#RNN#Git#GCP#AWS#PyTorch#TensorFlow
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Company

Qualcomm

Job Posted

2 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Bangalore, India

Qualification

Bachelor, Master, Doctoral

Applicants

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