2 Reve Automation Jobs

Job Description : AI Engineer - Red Hat AI Platforms (Trainable)

Location : Gurgoan

Employment Type : Full-Time

Company : Reve Cloud

About Us :

Reve Cloud is a dynamic technology organization pushing the boundaries of innovation through artificial intelligence and hybrid cloud solutions. We're building a team to drive AI solutions using Red Hat's cutting-edge platforms and are looking for talented individuals ready to grow with us.

Job Overview :

We are seeking an AI Engineer to join Reve Cloud and work with Red Hat Enterprise Linux AI (RHEL AI) and Red Hat OpenShift AI to develop and deploy AI/ML solutions. While direct experience with Red Hat AI is a plus, we're equally excited to train candidates with strong foundations in Linux, containerization, and AI/ML technologies. This role offers the opportunity to master Red Hat's AI ecosystem while delivering impactful, scalable AI applications for Reve Cloud's clients.

Key Responsibilities :

- Deploy and manage AI workloads in hybrid cloud environments using RHEL AI and OpenShift AI, with guidance and training provided.

- Collaborate with teams to fine-tune and operationalize AI models, including large language models (LLMs), using tools like InstructLab.

- Build and maintain containerized applications with Kubernetes or similar platforms, adapting to OpenShift as needed.

- Support the development, training, and deployment of AI/ML models, leveraging frameworks like PyTorch or TensorFlow.

- Assist in implementing MLOps practices for model lifecycle management, with exposure to CI/CD pipelines.

- Troubleshoot and optimize Linux-based systems to ensure reliable AI performance.

- Learn and apply Red Hat-specific tools and best practices through on-the-job training and resources.

- Document workflows and contribute to Reve Cloud's team knowledge sharing.

Required Qualifications :

- Education : Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).

- Experience : 2+ years in roles involving system administration, software development, or AI/ML engineering.

Technical Skills :

- Solid experience with Linux (any distribution, e.g., Ubuntu, CentOS), including command-line usage and system management.

- Familiarity with container technologies (e.g., Docker, Podman) and orchestration platforms (e.g., Kubernetes).

- Proficiency in Python and exposure to AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

- Basic understanding of cloud or hybrid cloud environments (e.g., AWS, Azure, GCP).

- Willingness to learn Red Hat technologies like RHEL AI, OpenShift AI, and InstructLab.

Soft Skills :

- Curiosity and eagerness to upskill in Red Hat's AI ecosystem.

- Problem-solving mindset with a proactive approach to challenges.

- Ability to collaborate effectively in a team environment.

Preferred Qualifications (Nice-to-Have) :

- Exposure to Red Hat Enterprise Linux (RHEL) or Red Hat certifications (e.g., RHCSA).

- Experience with Kubernetes-based platforms (e.g., OpenShift, EKS, GKE).

- Hands-on work with AI/ML models, especially generative AI or LLMs.

- Familiarity with DevOps tools (e.g., Git, Ansible, Jenkins).

- Interest in open source communities and contributions.

What We Offer :

- Competitive salary and benefits package

- Comprehensive training in Red Hat AI platforms, including access to Red Hat Learning Subscription and certifications.

- Mentorship from experienced engineers to accelerate your growth in AI and hybrid cloud technologies.

- A collaborative, innovative culture with opportunities to work on cutting-edge projects at Reve Cloud.

- Flexible work arrangements [if applicable].