Machine Learning Engineer/Senior Engineer

- **Role Overview:** As a Qualcomm Software Engineer, you will be responsible for designing, developing, creating, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge, world-class products exceeding customer needs. You will collaborate with various teams to design system-level software solutions and gather performance requirements and interfaces. - **Key Responsibilities:** - Design and implement robust ETL pipelines and data integration workflows using SQL, NoSQL, and big data technologies for Data Engineering & Infrastructure. - Build, fine-tune, and deploy ML/NLP models using frameworks like TensorFlow, PyTorch, and Scikit-learn for Machine Learning & NLP. - Develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django for Python Development. - Work closely with cross-functional teams to integrate ML solutions into production systems for Collaboration & Communication. - **Qualification Required:** - Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field. - Hold a Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Possess strong Python programming skills and experience with modern libraries and frameworks. - Deep understanding of ML/NLP concepts and practical experience with LLMs and RAG architectures. - **Additional Company Details:** As a Senior Machine Learning & Data Engineer, you will be responsible for designing scalable data pipelines, building and deploying ML/NLP models, and enabling data-driven decision-making within the organization. As an Automation Engineer proficient in C#/Python development, your role will involve designing, developing, and maintaining core APIs using C#, identifying, troubleshooting, and optimizing API development and testing, and staying updated with industry trends in API development. - **Requirements:** - Hold a Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience in developing APIs using C# and Python. - Strong understanding of software testing principles and methodologies. - **Role Overview:** As a Qualcomm Software Engineer, you will be responsible for designing, developing, creating, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge, world-class products exceeding customer needs. You will collaborate with various teams to design system-level software solutions and gather performance requirements and interfaces. - **Key Responsibilities:** - Design and implement robust ETL pipelines and data integration workflows using SQL, NoSQL, and big data technologies for Data Engineering & Infrastructure. - Build, fine-tune, and deploy ML/NLP models using frameworks like TensorFlow, PyTorch, and Scikit-learn for Machine Learning & NLP. - Develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django for Python Development. - Work closely with cross-functional teams to integrate ML solutions into production systems for Collaboration & Communication. - **Qualification Required:** - Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field. - Hold a Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Possess strong Python programming skills and experience with modern libraries and frameworks. - Deep understanding of ML/NLP concepts and practical experience with LLMs and RAG architectures. - **Additional Company Details:** As a Senior Machine Learning & Data Engineer, you will be responsible for designing scalable data pipelines, building and deploying ML/NLP models, and enabling data-driven decision-making within the organization. As an Automation Engineer proficient in C#/Python development, your role will involve designing, developing, and maintaining core APIs using C#, identifying, troubleshooting, and optimizing API development and testing, and staying updated with industry trends in API development. - **Requirements:** - Hold a Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience in developing APIs using C# and Python. - Strong understanding of software testing principles and methodologies.