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DevOps_MLOps_Engineer

Company:
Burgeon IT Services-Client based
Location:
India
Posted:
May 26, 2026
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Description:

We are #Hiring: #DevOps_MLOps_Engineer

Job Title : #DevOps_MLOps_Engineer

Location : PAN India - ( Hybrid )

Total Yrs. of Experience : 7+ Years

️ Duration: Contract to Hire (C2H)

Notice Period: Immediate Joiners to 30 Days

Job description*:

#REQUIRED SKILLS & EXPERTISE:

CI/CD platforms: GitHub Actions, Azure DevOps Pipelines, or equivalent; multi-stage pipeline design including model release gates, approval workflows, and rollback strategies

b :

Container orchestration: Docker and Kubernetes (including Helm charts); Kyma runtime or equivalent managed Kubernetes for enterprise cloud platforms

b :

Cloud infrastructure and IaC: SAP BTP or major cloud (AWS/Azure/GCP); Terraform, Bicep, or equivalent for repeatable environment provisioning

b :

MLOps tooling: MLflow or equivalent for experiment tracking and model lifecycle; feature stores; model registries; automated retraining and A/B deployment frameworks

b :

Observability stack: centralized logging (ELK, Datadog, or equivalent), distributed tracing, metrics dashboards; SLO/SLA definition and automated alerting

b :

Security engineering: IAM, OAuth2/OIDC, XSUAA/SAP IAS, secrets management (Vault or cloud-native), vulnerability scanning integrated into CI/CD, and compliance reporting

#CORE RESPONSIBILITIES:

Design, implement, and maintain CI/CD pipelines for AI/ML applications; integrate automated quality gates, security scanning, compliance checks, and staged deployment controls into every release workflow

b :

Build and manage containerized environments (Docker, Kubernetes/Kyma) and cloud infrastructure to support scalable, multi-tenant AI workload deployment on SAP BTP or major cloud platforms

b :

Establish MLOps workflows end-to-end: model versioning, experiment tracking, model registry management, automated retraining pipelines, deployment orchestration, and production monitoring with drift detection

b :

Implement observability standards across AI systems: structured logging, distributed tracing, performance metrics, cost monitoring, alerting, and SLO/SLA dashboards visible to all delivery stakeholders

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Thanks & Regards

Sreekanth B

Burgeon IT Services

Ph No: +91-9391420349

Email:

Website: www.burgeonits.com

Shirisha. Ch Sona P @Thota Harika Ramya Sarige k Nitusha Kalyani R Sudha Yadav Veeraboina Syed Nazima Vara lakshmi kota Sushma Gowrishatti Golagani Saikumar Shiva Kumar Rajkiran G Srikanth Vicky Khaja Mansoor Ahmed Kiran Gomasa Nagarjuna Duggineni vinay goud Masthanvali SHAIK Nanda Kishore Kumar Lakkakula @Laxmi Narayana (Raja) Arraganti palley Mahathi Navya Tumuluri BURGEON IT SERVICES

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