Machine Learning Engineer
Machine Learning Engineer
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Job Description
- Build & Deploy Safely on OpenShift AI:Design develop containerize and deploy AIpowered features and models using Red Hat OpenShift AI components (e.g. Workbenches Model Registry Pipelines)ensuring alignment with responsible AI principles and safety requirements from the outset.
- Integrate & Vet AI Services:Leverage and critically evaluate opensource models (e.g. Granite) integrating themsafely securely and responsiblywithin applications running on OpenShift. Assess models for potential biases and safety risks before integration.
- Master AI Safety & OpenShift Toolkits:Utilize AI engineering frameworks vector databasesand specific tools within OpenShift AI for AI safety explainability bias detection development serving monitoring and automationof the AI system lifecycle.
- Design & Implement Guardrails:Design implement and test robust safety guardrails for AI interactions including input validation prompt safety techniques output content filtering and oversight mechanisms for RAG patterns. Automate these checks using OpenShift Pipelines and GitOps practices where applicable.
- Manage Models with MLOps & Safety:Utilize (and sometimes contribute to building) models and leverage OpenShift AI Serving technologies to deploy manage versions andcontinuously monitor for performance safety metrics bias and drift ensuring the reliability and ethical operation of AI models in production.
- Evaluate Holistically:Focus on productspecific evaluation of AI models and approaches rigorously assessing theirperformance safety fairness bias robustness cost and adherence to ethical guidelineswithin the OpenShift environment.
- Stay Current on Safety & AI:Keep pace with advancements in the general AI landscape (models techniques)especially emerging threats mitigation techniques AI safety research and relevant regulatory landscapes alongside OpenShift AI platform features.
- Collaborate for Trust:Work closely with product managers application developers platform engineers data scientistsand relevant governance/ethics/security teamsto integrate AI capabilities smoothly ensuring systems are trustworthy compliant and adhere to enterprise standards.
- A SafetyConscious Builder with Platform Sense:You have a strong software engineering background (Python proficiency is key Java is a plus) understand containerization (Docker Podman) Kubernetes/OpenShift fundamentals and prioritize building secure and safe systems.
- AI Practitioner Aware of Risks:You actively experiment with Foundation Models (LLMs etc. understand how to apply them practicallyand are keenly aware of their potential risks limitations and ethical considerations.
- OpenShift AI Familiar:You have handson experience with Red Hat OpenShift AI / OpenShift Data Science and its core components (Model Serving Pipelines Workbenches). Understanding of MLOps concepts is essential.
- ToolSavvy with a Safety Lens:Youre familiar with the AI engineering stack (LLama Stack LangChain Vector DBs etc. andare eager to apply or learn tools/techniques specifically for AI safety explainability and bias mitigationwithin an OpenShift context.
- Pragmatic & Responsible:You focus on building useful reliable AI featureswith a strong commitment to responsible AI development deployment and minimizing potential harm.
- Fast Learner:You thrive in the fastpaced AI field and are comfortable continuously learning new platform features AI techniquesand safety best practices.
- Not Necessarily an ML PhD:Your strength lies in applying deploying andsafeguardingAI models effectively using platform tools rather than deep theoretical research. Practical experience is paramount.
- Experience implementing AI safety techniques(e.g. input/output filtering adversarial testing bias detection/mitigation explainability methods like LIME/SHAP).
- Direct experience deploying various types of ML models (including LLMs) using OpenShift AI Model Serving (KServe/Caikit/TGIS)with integrated safety checks.
- Experience building and running OpenShift Pipelines (e.g. Tekton)that include safety validation steps.
- Familiarity with AI ethics frameworks and relevant regulations(e.g. EU AI Act NIST AI RMF).
- Familiarity with the broader Red Hat portfolio (e.g. Ansible RHEL AMQ Streams/Kafka Ceph).
- Experience integrating AI models or other applications running on OpenShift.
- Experience with monitoring tools integrated with OpenShift (e.g. Prometheus Grafana)configured for safetyrelated metrics.
- Understanding of GitOps principles (Argo CD).
#LIMD2
The salary range for this position is $133650.00 $220680.00. 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 Hats compensation package. This position may also be eligible for bonus commission and/or equity. For positions with RemoteUS 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 worlds leading provider of enterprise open source software solutions using a communitypowered approach to deliver highperforming Linux cloud container and Kubernetes technologies. Spread across 40 countries our associates work flexibly across work environments from inoffice to officeflex 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. Were 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 Hats 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 . General inquiries such as those regarding the status of a job application will not receive a reply.
Employment Type
Full-Time
