The Apex Group was established in Bermuda in 2003 and is now one of the world’s largest fund administration and middle office solutions providers.

Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion.

That’s why, at Apex Group, we will do more than simply ‘empower’ you. We will work to supercharge your unique skills and experience.

Take the lead and we’ll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities.

For our business, for clients, and for you

JOB SUMMARY

The AI Infrastructure and Data Associate supports the design, development, and maintenance of AI infrastructure systems at CAIDO Group. This entry-level role involves working with GPU clusters, data pipelines, and cloud platforms to ensure efficient AI model training and deployment. The Associate will collaborate with senior team members to build scalable environments for AI workloads.

KEY RESPONSIBILITIES

• Assist in managing and monitoring GPU cluster health and infrastructure stability

• Support the configuration of compute resources and container orchestration using Kubernetes and Docker

• Help maintain data pipelines for AI model training and inference workloads

• Monitor system performance using tools like Prometheus and Grafana

• Assist in troubleshooting infrastructure issues and documenting resolutions

• Support the team in implementing Infrastructure as Code (IaC) using Terraform or Ansible

• Participate in data preprocessing and storage system maintenance

• Collaborate with ML engineers to understand and support their infrastructure needs

• Learn and apply best practices for cloud architecture (AWS, GCP, or Azure)

• Contribute to technical documentation and knowledge base development

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Information Technology, or related field

• 0-2 years of experience in DevOps, cloud infrastructure, or related roles

• Basic understanding of Linux systems and command-line operations

• Familiarity with Python or other scripting languages

• Exposure to containerization technologies (Docker, Kubernetes)

• Basic knowledge of cloud platforms (AWS, GCP, or Azure)

• Strong analytical and problem-solving skills

• Excellent communication and teamwork abilities

• Eagerness to learn and adapt to new technologies

PREFERRED QUALIFICATIONS

• Experience with GPU computing or HPC environments

• Familiarity with machine learning concepts and workflows

• Knowledge of monitoring tools (Prometheus, Grafana)

• Understanding of networking fundamentals

• Relevant certifications in cloud platforms or Kubernetes

WORK DETAILS

• Employment Type: Full-time, Permanent

• Location: Pune, India

• Department: CAIDO Group - Innovation and AI

• Reports To: AI Infrastructure and Data Manager

• Work Type: Office-based with potential hybrid options

Disclaimer: Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.