AI & DevOps Engineer (AIOps / MLOps)
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Required Skills
Job Description
Job Summary
SI2 Technologies is looking for an experienced AI \& DevOps Engineer with strong hands\-on expertise in **MLOps, AI/ML, Docker, Kubernetes, and CI/CD pipelines**.
The ideal candidate should have experience in deploying and managing AI/ML models, automating infrastructure, building scalable solutions, and implementing DevOps practices to improve system reliability and operational efficiency.
Key Responsibilities
- Design, develop, and deploy AI/ML\-based solutions for intelligent IT operations.
- Build and manage MLOps pipelines for model deployment, monitoring, and lifecycle management.
- Implement and maintain CI/CD pipelines for automated build, testing, and deployment.
- Containerize applications using Docker and manage deployments using Kubernetes.
- Develop automation using Python, SQL, Shell scripting, and REST APIs.
- Implement AI\-driven monitoring, anomaly detection, log analytics, and predictive operations.
- Work with LLMs, RAG, AI Agents, and modern AI frameworks.
- Manage infrastructure automation using Terraform, Ansible, or similar tools.
- Collaborate with DevOps, Cloud, Infrastructure, and AI/ML teams.
Mandatory Skills
- Strong hands\-on experience in **MLOps**.
- Practical experience in **AI/ML development and deployment**.
- Hands\-on experience with **Docker**.
- Strong experience with **Kubernetes**.
- Experience in building and managing **CI/CD pipelines**.
- Good programming knowledge of Python and automation.
- Knowledge of AI/ML model deployment and lifecycle management.
Good\-to\-Have Skills
- LLMs, RAG, LangChain, and AI Agents.
- AWS or other cloud platforms.
- Grafana, Prometheus, OpenTelemetry, ELK, or Splunk.
- Terraform and Ansible.
- SQL, Shell scripting, and REST APIs.
Candidate Requirements
- 4\+ years of relevant experience in AI DevOps / AIOps / MLOps.
- Must have hands\-on experience in all five mandatory technical skill areas.
- Must be comfortable working from the Vadodara office.
- Must be comfortable with the night shift (6:30 PM – 3:30 AM).
- **Only candidates who can join on or before 15th November will be considered.**
Pay: ₹401,000\.00 \- ₹1,630,000\.00 per year
Application Question(s)
- How many years of experience do you have in AI DevOps / MLOps?
- Do you have hands\-on experience in MLOps and ML model deployment?
- Do you have practical experience in AI/ML development and implementation? (Yes/No)
- Do you have hands\-on experience with Docker?
- Have you independently created or managed CI/CD pipelines?
- Are you comfortable working in the night shift from 6:30 PM to 3:30 AM? (Yes/No
- current ctc, expected ctc
- notice period
Experience
- AI/Devops: 5 years (Required)
Location
- Vadodara, Gujarat (Required)
Work Location: In person
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Job Overview
- Job type
- Full-time
- Work mode
- On-site
- Location
- Ahmedabad
- Posted
- 1d ago
- Source
- Indeed