AI / ML Engineer

○ 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

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