Job Description

Job Summary The Red Hat Ecosystems Engineering group is seeking a Software Engineer in our Boston, MA office. In this role, you will work with a diverse team of highly motivated engineers on designing and implementing AI/ML workflows and solutions and integrating Partners solutions . You will also be working closely with the product management, other engineering groups within Red Hat, and with Red Hat partners and lighthouse customers. Are you ready to start developing new solutions that combine open source, hybrid cloud, and AI? Job Responsibilities As a software engineer in this role, you will Develop and implement best practices for AI/ML model lifecycle management, including pre-processing, model training, serving, monitoring etc. Deploy AI/ML models on OpenShift AI (RHOAI), ensuring scalability, reliability, and performance. Work with upstream AI/ML communities to evaluate new AI/ML-related technologies from partners and create examples of integrations between their technology and RHOAI Build multi product demos and AI/ML workflows using Predictive and Generative AI leveraging RH product and AI stack Collaborate with multiple stakeholders including cross product team, AI/ML partners etc. to adjust their AI strategies, address their specific use cases, and drive value through the adoption of the RHOAI Required Skills Experience in development in Python or Go Understanding of fundamental AI/ML concepts, algorithms, techniques and implementation of workflows Familiarity with DevOps/MLOps practices and tools for managing the AI/ML lifecycle in production environments. Interest in learning new technologies and tools around the AI/ML landscape; problem-solving skills. Good written and verbal communication skills The following are considered a plus Knowledge of containers and OpenShift or Kubernetes and cloud platforms (AWS, Azure, Google Cloud) Previous code contributions to or participation in open source projects or code samples on GitHub. Understanding of fundamental AI/ML concepts, algorithms, and techniques. Basic knowledge of data preprocessing, feature engineering, and model evaluation. Knowledge of AI frameworks and libraries (e.g. OpenDataHub, TensorFlow, PyTorch, Kueue, KubeRay, KubeFlow, CodeFlare, Feast etc) You’re willing to wear a lot of red -OR- You look good in a red t-shirt The salary range for this position is $127,890.00 - $211,180.00. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat ( is the world’s leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Benefits

• Comprehensive medical, dental, and vision coverage
• Flexible Spending Account - healthcare and dependent care
• Health Savings Account - high deductible medical plan
• Retirement 401(k) with employer match
• Paid time off and holidays
• Paid parental leave plans for all new parents
• Leave benefits including disability, paid family medical leave, and paid military leave
• Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply. #J-18808-Ljbffr Red Hat, Inc.

Job Tags

Permanent employment, Full time, Contract work, Work experience placement, Work at office, Remote work, Flexible hours,

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