Red hat Data Scientist 

Ireland 

585522741

Primary Job Responsibilities

• Develop innovative capabilities for open source platforms used for building, training, testing, and serving models for AI-enabled applications, carrying your work through all phases of software development and delivery, including: researching and conceptualization, team design review, writing the implementation, authoring a testing strategy and necessary automation, productizing and packaging the code, and supporting its deployment through to end-users.

• Monitor and participate in upstream open source AI/ML communities, evaluating new AI/ML-related technologies in the space and considering potential integrations and collaborations upstream.

• Regularly reading papers and keeping up with AI/ML developments, particularly in the Generative AI space.

• Promote and foster Red Hat’s open-source value proposition as it pertains to AI/ML engineering and product infusion and development.

• Contribute to the development of the open-source projects that comprise Red Hat’s AI family of products.

• Take part in the shared responsibility of delivering and maintaining assigned products.

• Regularly communicate with project stakeholders including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.

• Take on the role of Subject Matter Expert, as needed, per domain and project.

• Lead, coach and collaborate with junior engineers as they build AI/ML knowledge and skills.

• Coordinate and collaborate with external teams, including IBM Research on key strategic vision and implementation details.

• Share our experiments and learnings from an experienced position in the Data Science community through blogs, presentations, new ideas and existing work at various technical outlets and conferences.

• Promote upstream acceptance and community building.

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).

• 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 working with Kubernetes/OpenShift and containers, troubleshooting issues, and working with YAML.

• Experience with Cloud Native Technologies and Platforms (e.g. Kubernetes)

• Demonstrates knowledge of unit testing frameworks and methodologies

• Demonstrates knowledge of machine learning relevant mathematics and statistics.

• Strong self-motivation and organizational skills.

• Demonstrates 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.

• Passion for developing open source software.

Nice to Haves

• Familiarity with participating in an agile development team

• Experience writing Kubernetes controllers and operators.

• Experience creating Ansible automation scripts.

• Experience with big data storage techniques, such as Parquet, Avro, and S3.

• Experience with hardware accelerators, such as GPU, CUDA, and ROCm.

• Understanding of DevOps methodology.