Title: MLops Engineer
Location: Bangalore (SDC) - Bagmane Tech Park
Work mode: Onsite Position
Required / Mandatory Knowledge/Skills:
- Foundational understanding of automation concepts, workflow orchestration, and event-driven operations
- Basic scripting ability (PowerShell, Shell, Python, or JavaScript)
- Familiarity with AI/ML concepts, LLM outputs, and how models interact with operational processes
- Ability to support intake workflows, request routing, and ticket categorization
- Understanding of cloud-native automation services (AWS Lambda, API Gateway, Step Functions)
- Ability to validate workflow runs, identify failures, and escalate issues
- Comfort with data collection, cleansing, and preparation for model tuning
- Ability to review automation logs and telemetry signals for anomalies
- Experience documenting runbooks, process flows, and SOPs
Preferred Knowledge/Skills:
- Supports maintenance of MSKAssist intake workflows and routing logic
- Supports analysis of routing efficiency, SLA alignment, and user experience data
- Supports AI feature improvements such as request classification, KB integration, and model feedback loops
- Supports monitoring of AI interactions, completion rates, and adoption metrics
- Supports development of simple dashboards for automation insights and usage reporting
- Supports discovery of automation opportunities across IT operations
- Supports documentation of process flows and technical requirements
- Supports development of proof-of-concept automations.
- Supports workflow execution monitoring, failure escalation, and optimization activities.
- Supports scripting tasks for provisioning, patching, and repetitive IT activities.
Minimum Degree Required:
Bachelors
Degree Preferred:
Bachelors or master’s in Science, Computer Science, Engineering
Certifications Preferred:
AWS Cloud Practitioner; Azure Fundamentals; ITIL Foundation, Terraform, Ansible, ServiceNOW Developer, AI Certifications (Langchain, Langgraph, AWS AI), React, Amelia Platform.