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.




- Positive 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

Location:
- Vadodara, Gujarat (Required)

Work Location: In person

📌 AI & DevOps Engineer (AIOps / MLOps) (Vadodara)
🏢 Employee Hub
📍 Vadodara