AI Engineer

Overview

Job Description: AI Engineer – Red Hat AI Platforms (Trainable)
Location:Gurgoan
Employment Type: Full-Time
Date Posted: March 18, 2025
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 [add specifics like health insurance, stock options, etc.].
• 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].
• How to Apply
• Please submit your resume and a brief cover letter highlighting your experience with Linux, containers, or AI/ML—and your interest in learning Red Hat AI technologies—to [application email/link]. We’re excited to invest in your potential at Reve Cloud!
• Reve Cloud is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace.

Job Types: Full-time, Permanent

Pay: ₹1,000,000.00 - ₹1,500,000.00 per year

Schedule:

• Day shift
• Monday to Friday

Work Location: In person