MLOps Engineer
KeySkills
-
DevOps / MLOps experience,
Strong Python programming,
Containerized deployment (Docker/Kubernetes),
AWS (SageMaker,
Lambda,
ECR),
Terraform,
Deploying GenAI/LLM systems into production,
Hands-on deploying 3-4 ML/GenAI models on AWS,
Data pipeline development on public cloud,
Governance & compliance policies,
RAG/LLM workloads & model deployment infrastructure,
Job Description
Responsibilities :
- Architect secure, reusable, modular IaC frameworks across cloud and regions for MLOps
- Lead the development of CI/CD pipelines and standardize deployment frameworks.
- Design observability and monitoring systems for ML/GenAI workloads.
- Collaborate with platform, data science, compliance and Enterprise Architecture teams to ensure scalable ML operations.
- Define enterprise-wide MLOps architecture and standards (build → deploy → monitor)
- Lead design of GenAI/LLMOps platform (Bedrock/OpenAI/Hugging Face + RAG stack)
- Integrate governance controls (approvals, drift detection, rollback strategies)
- Define model metadata standards, monitoring SLAs, and re-training workflows
- Influence tooling, hiring, and roadmap decisions for AI/ML delivery
- Be engaging in the design, development and maintenance of data pipelines for various AI use cases
- Required to actively contribution to key deliverables as part of an agile development team
Job Details
Experience :
3 To 5
Number Of
Vacancies :
1
Job Type :
Permanent
Industry Type : IT/Software
Salary
:
6 Lac - 12 Lac++
P.A
Education Summary
UG :
BE/B.Tech
PG :
Any PG Degree
Contact Details
Contact
Person :
Contact
Number :
8030835000
e-mailId :
hr.helpdeskexit@genpact.com
Address :
RMZ One Paramount Porur Chennai, Campus-10,6th Floor, RMZ-One Paramount, Mount Poonamallee High Road, Porur, Chennai- 600116
Office Location
Central Jakarta No 1234, Jakarta, IndonesiaAWS Cloud Solution Architect
Experience -
0 to 1
Dot Net Full Stack Developer
Experience -
0 to 2
Key Skills -
C#,
.NET,
.NET Core,
SQL,
Python,
TypeScript,
React,
Angular,
HTML,
CSS,
JavaScript,
Azure PaaS,
Azure Functions,
Azure App Services,
Azure API Management,
Azure Key Vault,
Azure Cosmos DB,
Azure Data Factory,
Azure DataLake,
Azure OpenAI,
Azure AI Services,
Azure AI Foundry,
Prompt Engineering,
LLMs,
NLP,
Machine Learning,
ETL,
Terraform,
Bicep,
Azure DevOps,
CI/CD Pipelines,
GitHub Copilot,
ChatGPT,
Semantic Kernel,
Power Automate,
Microsoft Fabric,
CRM Integration,
Dynamics 365,
Salesforce APIs,
Agile,
Scrum,
Kanban,
DORA Metrics,
Cloud Engineer
Experience -
0 to 2
Key Skills -
Azure,
Google Cloud Platform (GCP),
Multi-cloud management,
Cloud operations,
L3/L4 support,
Windows server administration,
Linux server administration,
Cloud networking,
Virtual networks,
VNETs,
Subnets,
NSGs,
Firewalls,
VPN,
Routing policies,
Load balancers,
Automation scripting,
PowerShell,
Bash,
Ansible,
Terraform,
Server patching,
Performance tuning,
Monitoring tools,
Logging solutions,
Incident management,
Root cause analysis (RCA),
Configuration management,
Cloud security,
Troubleshooting,
Documentation,
Infrastructure management.,
AWS DEVELOPER
Experience -
5 to 6
Key Skills -
CI/CD pipelines,
Jenkins,
GitHub Actions,
GitLab CI,
AWS CodePipeline,
AWS CodeDeploy,
AWS CodeBuild,
AWS EC2,
AWS S3,
AWS IAM,
AWS Lambda,
AWS CloudWatch,
Kubernetes,
AWS EKS,
Docker,
Terraform,
CloudFormation,
Git,
Branching strategies,
Bash scripting,
Python scripting,
Groovy scripting,
Automation,
Infrastructure as Code (IaC),
Monitoring and logging,
DevOps best practices,
Release management,
Deployment automation,
Security in CI/CD,
Agile development.,