Staff Engineer - DevOps Machine Learning

Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Software Test Engineering

General Summary:

Job Summary: We are seeking a highly experienced Senior DevOps Engineer with a strong background in Machine Learning to join our dynamic team. The ideal candidate will have over 12 years of experience in DevOps, with a focus on deploying and managing machine learning models in production environments. This role requires a deep understanding of DevOps practices, cloud infrastructure, and machine learning frameworks.

Key Responsibilities:

• Design, implement, and maintain scalable and reliable infrastructure for machine learning applications.
• Collaborate with data scientists and machine learning engineers to streamline the deployment of machine learning models.
• Automate the end-to-end machine learning pipeline, including data preprocessing, model training, and model deployment.
• Monitor and optimize the performance of machine learning models in production.
• Implement CI/CD pipelines for machine learning projects to ensure rapid and reliable deployment.
• Troubleshoot and resolve issues related to infrastructure, deployment, and performance.
• Stay up-to-date with the latest trends and technologies in DevOps and machine learning.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Over 12 years of experience in DevOps, with a focus on machine learning.
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, etc.
• Strong understanding of CI/CD pipelines and tools like Jenkins, GitLab CI, etc.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with monitoring and logging tools such as Prometheus and others.
• Knowledge of MLOps practices and tools.
• Familiarity with data engineering concepts and tools.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Test Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Test Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Test Engineering or related work experience.
• 2+ year of work experience with Software Test or System Test, developing and automating test plans, and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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If you would like more information about this role, please contact Qualcomm Careers.