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Primary Job Responsibilities
Modify pre-trained large language models to make their responses fit for the intended purpose. Design, run, and analyze scientific experiments to constantly improve our fine tuning results.
Work with subject matter experts as well as with feedback received from end users to evaluate the quality of the responses given by the resulting large language model
Design systems, integrations and processes required to achieve the best fine tuning results, including selection and integration of data sources, data pre-processing and subsequent quality evaluation.
Contribute to the entire stack, from active participation in the fine tuning process to the implementation of and ongoing optimization of the designed systems
Maintain an overview of the generative AI technology space, provide mentoring and leadership to other team members
Regularly communicate with project stakeholders including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.
Coordinate and collaborate with external teams, including IBM Research on key strategic vision and implementation details.
Work in a fast-paced agile globally distributed environment of talented engineers
Required Skills
Bachelor's degree in computer science, data science, computer engineering or equivalent
5+ years of experience as a data scientist (or similar roles)
At least 2 years of demonstrated leadership experience at any capacity
Extensive, advanced experience with Python development.
Experience with AI and Machine Learning platforms, tools, and frameworks, such as: Tensorflow, PyTorch, LLaMA.cpp, and Kubeflow.
Experience with Cloud Native Technologies and Platforms (e.g. Kubernetes)
Demonstrated knowledge of machine learning relevant mathematics and statistics.
Strong self-motivation and organizational skills.
Demonstrated ability to context switch between multiple concurrent projects.
Excellent English written and verbal communication skills.
Collaborative attitude and willingness to share ideas openly.
Ability to quickly learn and use new tools and technologies.
Preferred skills
Experience with agile development
Experience with CI/CD systems
Experience with big data storage techniques, such as Parquet, Avro, and S3.
Understanding of DevOps methodology.
Experience working with Kubernetes/OpenShift and containers, troubleshooting issues, and working with YAML.
The salary range for this position is $144,660.00 - $238,650.00. Actual offer will be based on your qualifications.
Pay Transparency
● 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
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