AI & DevOps Engineer (AIOps / MLOps)

VettedBench; India; On-site; INR 401,000 - 1,630,000; Full time

Job summary

SI2 Technologies is seeking an experienced AI DevOps Engineer to design, deploy, and scale AI/ML solutions for IT operations. You will build and manage MLOps pipelines, automate infrastructure, and implement robust CI/CD workflows. The role requires Docker, Kubernetes expertise and strong programming in Python, with night shifts and Vadodara office.

Join to collaborate across DevOps, Cloud, Infrastructure, and AI/ML teams while delivering reliable, scalable systems.

Qualifications

• 4+ years in AI DevOps / MLOps.
• 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).
• Available to join on or before 15th November.

Responsibilities

• Design, develop, and deploy AI/ML-based IT operations solutions.
• Build and manage MLOps pipelines for 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.

Skills

MLOps

AI/ML development

Docker

Kubernetes

CI/CD pipelines

Python

Automation

REST APIs

Tools

Terraform

Ansible

Grafana

Prometheus

ELK

Splunk

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.**

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

Pay: ₹401,000.00 - ₹1,630,000.00 per year