AI Infrastructure and Data Associate
On-site · Pune, Maharashtra, India
Job Summary
AI Infrastructure and Data Associate designs, develops, and maintains AI infrastructure systems, working with GPU clusters, data pipelines, and cloud platforms to enable efficient AI model training and deployment. The role collaborates with senior team members to build scalable environments for AI workloads, assists in managing GPU cluster health, configures compute resources and container orchestration (Kubernetes and Docker), maintains data pipelines for training and inference, monitors system performance (Prometheus, Grafana), troubleshoots infrastructure issues, implements Infrastructure as Code (Terraform or Ansible), participates in data preprocessing and storage maintenance, collaborates with ML engineers to understand infrastructure needs, learns cloud architecture (AWS, GCP, Azure), and contributes to technical documentation. Work is office-based in Pune with potential hybrid options.
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
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