Trainee

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

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.

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