Machine Learning Operations Engineer - Military Bridge Program

Machine Learning Operations Engineer - Military Bridge ProgramDescription -At HP, we understand the unique challenges faced by military personnel transitioning to civilian life. Our Military Bridge program, in partnership with Hiring for Heroes, offers a tailored 12-week curriculum to equip those transitioning out of active duty with the skills and support needed for successful transition their careers.Duration: August 26- November 14, 2024About the opportunity:At HP, our Machine Learning Operations (MLOps) team plays a crucial role in operationalizing the data science models into production environments that directly impact our product innovations and operational efficiencies. As an intern on our MLOps team, you will contribute to various stages of the machine learning lifecycle, from model development to deployment and scaling. Your role will be pivotal in implementing robust, scalable machine learning solutions that enhance our capabilities across multiple domains. Success in this role means efficiently deploying machine learning models, maintaining high standards of model performance and reliability, and actively contributing to the team’s ongoing projects with innovative solutions.Responsibilities:Assist in building and maintaining the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud-based technologies.Collaborate with data scientists and ML engineers to implement and maintain automated pipelines for machine learning model deployments and monitoring.Contribute to enhancing existing ML systems with improvements to scalability, performance, and reliability.Support the team in troubleshooting and resolving issues related to the MLOps pipeline and deployed models.Develop and maintain documentation for machine learning operations processes, including data handling, model training, and deployment strategies to ensure reproducibility and compliance with industry standards.Participate in the evaluation and integration of new tools and technologies to enhance the automation and efficiency of the ML pipeline.Assist in the implementation of end-to-end tests and monitoring systems to ensure the integrity and accuracy of deployed machine learning models.Engage in regular knowledge-sharing sessions to stay informed about industry trends and advancements in machine learning operations, contributing to continuous improvement initiatives within the team.Experience and skills needed:Currently enrolled in a Bachelor’s or Master’s degree program in Computer Science, Engineering, or a related field with a focus on data science or artificial intelligence.Familiarity with machine learning frameworks (such as TensorFlow or PyTorch) and understanding of data structures and algorithms.Experience with Python programming and tools used for machine learning applications.Strong problem-solving skills and the ability to work collaboratively in a team environment.Basic knowledge of containerization technologies such as Docker and orchestration platforms like Kubernetes, which are crucial for deploying scalable machine learning applications.Demonstrated ability to use version control systems such as Git for code management and collaboration in a team environment.Job -SoftwareSchedule -Full timeShift -No shift premium (United States of America)Travel -Relocation -NoEqual Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement