**About the job** The Red Hat Global Support Services is looking for a motivated and passionate Trainee who is eager to learn about AI/ML, Data Science and deploy solutions as we modernize platforms and tooling. At the end of 6 months, as an Associate Data Scientist you’d be working on issues to implement AI / ML solutions and any troubleshooting thereof and RHEL AI which is a Generative AI focussed platform. You will also be working closely with the product management, other engineering groups within Red Hat, and with Red Hat partners. This is a perfect opportunity for fresh graduates eager to learn and grow in the field of AI. **What will you do?** + Complete AI / ML, Data Science Trainings + Work on efficiency projects pertaining to AI + Work on prototypes for innovation + Learn Red Hat technologies such as RHEL AI that will help to contribute to real-time use cases and problems **What will you bring?** + Graduate degree in Computer Science, AI, Data Science + Foundational NLP Concepts + Knowledge of data visualization, data preprocessing and data analysis with standard NLP libraries like Spacy, NLTK, etc + Strong Foundation in Python programming + Familiarity with AI/ ML frameworks such as TensorFlow, PyTorch, Numpy + Knowledge of AI hardware accelerators such as GPUs + Understanding of cloud platforms such as AWS, GCP, Azure for AI model deployment + Ethics - Understanding of AI Ethics and responsible AI development + Proficient written and verbal communication skills in English + Ability and willingness to adapt to new technologies and tools as the AI field evolves + Ability to work with conflicting priorities, take initiative, and maintain a customer-centric focus + Excellent problem-solving and debugging skills to resolve technical issues + Ability to work independently and as part of a globally distributed team of engineers **The following is considered a plus** + Any contribution to AI/ ML project at University / personal level + Familiarity with DevOps practices for AI/ML model deployment, such as CI/CD pipelines and containerization (e.g., Docker, Kubernetes) + Familiarity with open-source development and contribution to open-source AI/ML projects (GitHub, GitLab, etc.) + Understanding of foundational concepts in generative AI and LLMs, including transformers, attention mechanisms, and fine-tuning large models + Familiarity with building and deploying machine learning models, such as regression, classification, and forecasting, along with hands-on experience in evaluating their performance **About Red Hat** Red Hat (https://www.redhat.com/) is the world’s leading provider of enterprise open source (https://www.redhat.com/en/about/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. **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. 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