Website:
intuitive.ai
Job details:
About us:
Intuitive is an innovation-led engineering company delivering business outcomes for 100’s of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers:
Modernization & Migration
- Application & Database Modernization
- Platform Engineering (IaC/EaC, DevSecOps & SRE)
- Cloud Native Engineering, Migration to Cloud, VMware Exit
- FinOps
Data & AI/ML
- Data (Cloud Native / DataBricks / Snowflake)
- Machine Learning, AI/GenAI
Cybersecurity
- Infrastructure Security
- Application Security
- Data Security
- AI/Model Security
SDx & Digital Workspace (M365, G-suite)
- SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility
- Email, Collaboration, Directory Services, Shared Files Services
Intuitive Services:
- Professional and Advisory Services
- Elastic Engineering Services
- Managed Services
- Talent Acquisition & Platform Resell Services
About the job:
Title: AI/ML Engineer
Start Date: Immediate
Position Type: Full Time
Location: Ahmedabad, India
We are seeking a highly motivated and detail‑oriented DevOps Engineer to join our growing technology team. In this role, you will collaborate with senior DevOps and development teams to automate, streamline, and enhance our development, deployment, and operational processes. This position provides an excellent opportunity to gain hands‑on experience with modern DevOps tools, cloud platforms, and best practices.
Key Responsibilities
- Assist in designing, building, and maintaining CI/CD pipelines to support efficient software delivery.
- Support infrastructure automation efforts using tools such as Ansible, Terraform, or Puppet.
- Monitor application and system performance across development, staging, and production environments.
- Work collaboratively with development teams to ensure smooth and reliable deployment of software updates.
- Learn and contribute to containerization and orchestration using Docker and Kubernetes.
- Assist in troubleshooting operational issues and participate in root‑cause analysis.
- Document procedures, configurations, and best practices to strengthen DevOps workflows.
Required Skills
- Basic understanding of DevOps principles, SDLC, and automation concepts.
- Familiarity with Linux/Unix environments and command‑line operations.
- Knowledge of version control systems like Git.
- Exposure to scripting languages such as Shell, Bash, or Python.
- Understanding of CI/CD tools like Jenkins, GitLab CI/CD, or GitHub Actions.
- Eagerness to learn cloud platforms including AWS, Azure, or Google Cloud Platform (GCP).
Preferred Qualifications (Optional but Beneficial)
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Basic knowledge of cloud services across AWS, Azure, or GCP.
- Exposure to Docker, Kubernetes, or Infrastructure as Code (IaC) tools.
- Awareness of Agile, DevOps culture, and modern software engineering practices.
Click on Apply to know more.