AI / ML Engineer

## Company: Qualcomm India Private Limited ## Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Experience and Qualifications: ○ 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 Minimum Qualifications: • 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. Preferred 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. Additional Elements: ○ Domain Expertise: ■ Deep understanding of the specific industry or domain where AI/ML solutions will be applied. ■ Knowledge of relevant regulations, data privacy, and ethical considerations. ○ Collaboration and Communication Skills: ■ 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. ○ Prototyping and Rapid Iteration: ■ Proficiency in rapid prototyping and iterative development. ○ Problem-Solving and Creativity: ■ Ability to tackle novel challenges and think creatively. ○ Deployment and Scalability: ■ Knowledge of deployment strategies and scalability considerations. ○ Performance Optimization: ■ Familiarity with optimizing model performance and resource usage. ○ Continuous Learning: ■ Commitment to stay updated with AI/ML advancements. ■ Learning agility and adaptability in dynamic environments. ○ Ability to balance multiple projects and priorities Applicants: Qualcomm is an equal opportunity employer. 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