Job Description: Desktop support engineer
Key Responsibility:
1 - Taking ownership of customer issues reported & solving their problems through by providing resolution.
2 - Researching, diagnosing, troubleshooting, & identifying solutions to resolve system/application issues.
3 - Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams.
Technical Experience:
1-Installation & configuration of various applications.
2-Installation & configuration of Operating system with various methods like WDS, GHOST, Bootable PD etc.
3-Engineer ensure proper logging of all issues.
4-Document technical issues in the knowledge database.
5-Should possess ability to learn & work on changing & emerging technologies. Certification in new technologies like Azure, AWS will be added advantage.
6-Keep track of users’ system issues until resolved by adhering to the SLA.
Responsibilities
Professional Attributes:
1 - Good technical skills & should possess with current technology.
2 - Good communication skills both written & verbal.
3 - Should be a Tech-Savviness.
4 - Flexible to work in all shift & under pressure situations.
5 - Good analytical skill.
Educational Qualification: -
Diploma/BE in computer technology.
Should be completed 15 years full time education.
Shift Timings: 24/7
WFH / WFO: WFO
Salary : Rs. 26,000.0 - Rs. 30,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Experience- 6-8
Role Descriptions: Job Description Azure MLOps EngineerRequired InformationSN Required InformationDetails1. RoleAzure MLOps Engineer2. Required Technical Skill SetAzure Machine Learning (Azure ML)| MLOps| Python| CICD (Azure DevOpsGitHub Actions)| Containers (Docker)| Orchestration (AKS)| Infrastructure as Code (BicepTerraform)| Model RegistryDeployment| Monitoring Observability Good-to-Have Databricks| MLflow| Kubernetes| AADEntra ID| SecurityCompliance| MATLAB3. No of Requirements14. Desired Relevant Experience5 to 10 Years5. Location of RequirementIndia Any LocationDesired Competencies (Technical Behavioral Competency)Must-Have- Hands-on experience with Azure Machine Learning (workspaces| compute| environments| datasets| pipelines).- Proficiency in building end-to-end MLOps workflows data prep| training| model packaging| registration| deployment| and automated retraining.- Strong Python skills for ML engineering and automation (SDK v2CLI v2).- Experience deploying models to AKSManaged Online EndpointsBatch Endpoints with blue-green or canary strategies.- CICD using Azure DevOps Pipelines or GitHub Actions (multi-stage YAML| approvals| artifacts).- Infrastructure as Code using Bicep or Terraform| including networking (VNets| subnets| private endpoints).- Model governance versioning| lineage| reproducibility| datamodel drift monitoring| and audit readiness.- Observability using Azure Monitor| Log Analytics| and Application Insights.- Security best practices Entra ID (AAD)| RBAC| Key Vault| Private Link| managed identities| and compliance standards.- Experience with Git| code reviews| branching strategies| and automated testing (unitintegration).Good-to-Have- Experience with Databricks| Delta Lake| and Feature Store patterns.- Familiarity with MLflow trackingregistry and model evaluation frameworks.- Experience with Kubernetes (AKS) and Helm for advanced deployments.- Knowledge of data engineering on Azure (ADFSynapseADLS Gen2Event Hub).- Experience implementing Responsible AI bias checks| explainability| content filters| guardrails.- Exposure to Azure OpenAIagentic patterns and RAG architectures for production workloads.- Professional certifications Microsoft Certified Azure AI Engineer Associate| Azure Data Scientist Associate| or DevOps Engineer Expert.- Strong documentation and stakeholder communication skills.Responsibilities Expectations from the Role- Design and implement scalable MLOps architectures on Azure ML aligned to enterprise standards.- Build automated pipelines for data prep| training| evaluation| and deployment across DevTestProd.- Create reusable templates (YAML| CLISDK scripts| IaC modules) and accelerate project onboarding.- Implement model governance approvals| model cards| championchallenger| and release management.- Operationalize monitoring for performance| drift| data quality| latency| and cost define SLOsSLAs.- Partner with Data Scientists to productionize notebo
Essential Skills: Job Description Azure MLOps EngineerRequired InformationSN Required InformationDetails1. RoleAzure MLOps Engineer2. Required Technical Skill SetAzure Machine Learning (Azure ML)| MLOps| Python| CICD (Azure DevOpsGitHub Actions)| Containers (Docker)| Orchestration (AKS)| Infrastructure as Code (BicepTerraform)| Model RegistryDeployment| Monitoring Observability Good-to-Have Databricks| MLflow| Kubernetes| AADEntra ID| SecurityCompliance| MATLAB3. No of Requirements14. Desired Relevant Experience5 to 10 Years5. Location of RequirementIndia Any LocationDesired Competencies (Technical Behavioral Competency)Must-Have- Hands-on experience with Azure Machine Learning (workspaces| compute| environments| datasets| pipelines).- Proficiency in building end-to-end MLOps workflows data prep| training| model packaging| registration| deployment| and automated retraining.- Strong Python skills for ML engineering and automation (SDK v2CLI v2).- Experience deploying models to AKSManaged Online EndpointsBatch Endpoints with blue-g
Responsibilities
Experience- 6-8
Role Descriptions: Job Description Azure MLOps EngineerRequired InformationSN Required InformationDetails1. RoleAzure MLOps Engineer2. Required Technical Skill SetAzure Machine Learning (Azure ML)| MLOps| Python| CICD (Azure DevOpsGitHub Actions)| Containers (Docker)| Orchestration (AKS)| Infrastructure as Code (BicepTerraform)| Model RegistryDeployment| Monitoring Observability Good-to-Have Databricks| MLflow| Kubernetes| AADEntra ID| SecurityCompliance| MATLAB3. No of Requirements14. Desired Relevant Experience5 to 10 Years5. Location of RequirementIndia Any LocationDesired Competencies (Technical Behavioral Competency)Must-Have- Hands-on experience with Azure Machine Learning (workspaces| compute| environments| datasets| pipelines).- Proficiency in building end-to-end MLOps workflows data prep| training| model packaging| registration| deployment| and automated retraining.- Strong Python skills for ML engineering and automation (SDK v2CLI v2).- Experience deploying models to AKSManaged Online EndpointsBatch Endpoints with blue-green or canary strategies.- CICD using Azure DevOps Pipelines or GitHub Actions (multi-stage YAML| approvals| artifacts).- Infrastructure as Code using Bicep or Terraform| including networking (VNets| subnets| private endpoints).- Model governance versioning| lineage| reproducibility| datamodel drift monitoring| and audit readiness.- Observability using Azure Monitor| Log Analytics| and Application Insights.- Security best practices Entra ID (AAD)| RBAC| Key Vault| Private Link| managed identities| and compliance standards.- Experience with Git| code reviews| branching strategies| and automated testing (unitintegration).Good-to-Have- Experience with Databricks| Delta Lake| and Feature Store patterns.- Familiarity with MLflow trackingregistry and model evaluation frameworks.- Experience with Kubernetes (AKS) and Helm for advanced deployments.- Knowledge of data engineering on Azure (ADFSynapseADLS Gen2Event Hub).- Experience implementing Responsible AI bias checks| explainability| content filters| guardrails.- Exposure to Azure OpenAIagentic patterns and RAG architectures for production workloads.- Professional certifications Microsoft Certified Azure AI Engineer Associate| Azure Data Scientist Associate| or DevOps Engineer Expert.- Strong documentation and stakeholder communication skills.Responsibilities Expectations from the Role- Design and implement scalable MLOps architectures on Azure ML aligned to enterprise standards.- Build automated pipelines for data prep| training| evaluation| and deployment across DevTestProd.- Create reusable templates (YAML| CLISDK scripts| IaC modules) and accelerate project onboarding.- Implement model governance approvals| model cards| championchallenger| and release management.- Operationalize monitoring for performance| drift| data quality| latency| and cost define SLOsSLAs.- Partner with Data Scientists to productionize notebo
Essential Skills: Job Description Azure MLOps EngineerRequired InformationSN Required InformationDetails1. RoleAzure MLOps Engineer2. Required Technical Skill SetAzure Machine Learning (Azure ML)| MLOps| Python| CICD (Azure DevOpsGitHub Actions)| Containers (Docker)| Orchestration (AKS)| Infrastructure as Code (BicepTerraform)| Model RegistryDeployment| Monitoring Observability Good-to-Have Databricks| MLflow| Kubernetes| AADEntra ID| SecurityCompliance| MATLAB3. No of Requirements14. Desired Relevant Experience5 to 10 Years5. Location of RequirementIndia Any LocationDesired Competencies (Technical Behavioral Competency)Must-Have- Hands-on experience with Azure Machine Learning (workspaces| compute| environments| datasets| pipelines).- Proficiency in building end-to-end MLOps workflows data prep| training| model packaging| registration| deployment| and automated retraining.- Strong Python skills for ML engineering and automation (SDK v2CLI v2).- Experience deploying models to AKSManaged Online EndpointsBatch Endpoints with blue-g
Salary : Rs. 70,000.0 - Rs. 1,30,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job description:
1.Perform data entry and research activities in various systems and tracking tools .
2.Apply knowledge of processes and related systems to assist in identifying ,assessing and resolving issues /problems .
3. Assess and resolve on - Standard issues or problems .
4.Seek advice and escalate issues when faced With Tasks / Problems Outside the scope of Work .
Responsibilities
Checklist:
1.Should be flexible to work in night shifts (US shift-5:30 PM to 2:30 PM).
2. Should be ok for 21,100 CTC per month, 17,300 Take home per month.
3.Both the ways (Pick and drop) free cab facilities will be provided.
4.Designation: Transaction Processing Representative.
5.Willing to work on Contract to Hire (C2H )
6. Should be comfortable to Work from office.
Salary : Rs. 2,07,600.0 - Rs. 2,53,200.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
