Senior Data Engineer

About the Job

The Red Hat Products & Global Engineering Business Insights team is looking for a Principal Machine Learning Engineer to join us in Raleigh, NC or Boston, MA. In this role, you will serve in the Business Unit organization which spans Red Hat’s product portfolio. You’ll work closely with a team of data scientists, data engineers, and stakeholders to operationalize machine learning and generative AI models related to product development and customer experience.  Some of our current production-ready models include gradient boosting, transformer-based LLM, deep learning, and logistic regression models.

What You Will Do

• Collaborate with team members to develop and operationalize data science solutions, including migrating prototypes (e.g. Jupyter Notebooks) into production environments

• Accelerate data workflows and model training using distributed computing 

• Lead the end-to-end ML product lifecycle, from requirements gathering to validation, implementation, deployment, and post-deployment

• Work closely with data engineering and MLOps functional roles to operationalize scalable data science solutions through automation and continuous delivery

• Engage with stakeholders to improve ML systems design and application development

• Establish CI/CD and unit testing practices for model development

• Work closely with data scientists to determine appropriate model performance and data/concept drift monitoring

• Lead and guide the team to implement MLOps best practices

What You Will Bring

• Bachelor's degree in mathematics, statistics, computer science, or a related technical field, or equivalent work experience (master’s degree a plus)

• 5+ years of experience developing production-grade machine learning models

• 2+ years of experience with Python, containers, kubernetes and CI/CD 

• Experience querying/transforming structured/unstructured data (SQL, PySpark,  Scala)

• Proven experience with a deep learning framework (PyTorch, TensorFlow, Keras)

• Strong theoretical knowledge and applied experience of statistics, machine learning and large language models and algorithms (unsupervised and supervised)

• Demonstrated ability to produce well-documented, well-formatted code using object-oriented design principles

• Proficient with CI/CD, containerized development, version control (e.g. Docker, Jenkins)

Preferred Skills

• Integration of ML tracking and orchestration tools (e.g. Airflow, MLflow, Kubeflow)

• Experience with deploying large language models, specifically RAG solutions 

• Experience with cloud-native technologies, specifically Red Hat OpenShift Container Platform

• Experience with distributed computing (e.g. Dask, Ray)

• Ability to fine tune deployed models to improve scalability, reliability, and performance

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. 

Diversity, Equity & 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 diverse 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 of diversity 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.

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