Consultant - AI & DevOps

Consultant - AI & DevOps
Location: Vadodara, Gujarat (On-Site)
Job Type: Full Time / Onsite
Experience: 3 – 5 Years
Shift: Evening & Night Shift
Department: IT Infrastructure
Job Summary
We are looking for an AI DevOps Engineer with expertise in AI/ML, LLMs, observability, and automation to develop intelligent solutions that improve system reliability and operational efficiency. The role involves building AI-driven capabilities for monitoring, anomaly detection, predictive analytics, incident response, log analytics, and root cause analysis across enterprise applications, databases, and cloud infrastructure.
Key Responsibilities
Design, develop, and deploy AI-powered solutions to improve system reliability, automate incident response, and optimize enterprise operations.
Build AI-driven capabilities for anomaly detection, event correlation, predictive analytics, root cause analysis, and intelligent operational insights using AI/ML, LLMs, and AI Agents.
Design and implement AI-driven automation for infrastructure monitoring, database operations, performance optimization, capacity planning, and operational recommendations.
Design and optimize enterprise observability solutions using metrics, logs, traces, and events to provide end-to-end visibility across applications and infrastructure.
Develop and deploy AI-powered log analytics and operational intelligence solutions using Machine Learning, LLMs, RAG, and AI frameworks.
Develop, deploy, and maintain AI/ML models for observability, predictive operations, and intelligent IT automation.
Must-Have Skills
Develop automation using Python, SQL, Shell scripting, REST APIs, Infrastructure as Code (IaC), and CI/CD practices.
Enterprise database administration, observability, automation, and Artificial Intelligence (AI) to improve system reliability, operational efficiency, and service availability
The candidate will develop intelligent AIOps solutions by leveraging AI/ML, Large Language Models (LLMs), and modern observability platforms to enhance IT operations and automation.
They will drive automation for monitoring, anomaly detection, log analytics, predictive operations, incident response, and root cause analysis across enterprise applications, databases, and cloud infrastructure.
Good-to-Have Skills
Manage and support enterprise applications, databases (Oracle, PostgreSQL, MySQL, MongoDB), cloud platforms.
Collaborate with infrastructure, cloud, DevOps, database, security, and application teams to drive operational excellence.
Evaluate and implement emerging AI technologies, LLMs, MCP, AI Agents, and automation frameworks to continuously improve enterprise IT operations.
Maintain technical documentation, architecture standards, and operational best practices.
Job Requirements
Bachelor’s degree in computer science, Information Technology, Artificial Intelligence, Data Science, or a related field.
3-5 years of experience in AIOps, DevOps or related enterprise operations roles.
Strong programming skills in Python, SQL, Shell scripting, REST APIs, and automation frameworks.
Hands-on experience developing and deploying AI/ML solutions for AIOps, observability, automation, or intelligent IT operations.
Experience building or deploying ML models for anomaly detection, predictive analytics, log analysis, event correlation, and operational intelligence.
Experience with LLMs, RAG, AI Agents, MCP, LangChain, or similar AI frameworks.
Knowledge of AI model deployment, MLOps, model lifecycle management, and operational AI pipelines.
Strong experience with enterprise observability platforms such as Grafana, Prometheus, OpenTelemetry, Elastic/OpenSearch, Splunk, Datadog, or Dynatrace.
Exposure with Kubernetes, Docker, container platforms, cloud infrastructure (AWS preferred), and on-premises environments.
Exposure to enterprise databases including Oracle, PostgreSQL, MySQL, and MongoDB.
Experience with Infrastructure as Code (Terraform, Ansible, or equivalent), CI/CD pipelines, and automation tools.
Strong analytical, troubleshooting, problem-solving, communication, and collaboration skills.
Relevant certifications in Cloud, Kubernetes, AI/ML, Observability, Database, or DevOps technologies are an added advantage.

Work arrangement
No