10 MDC5C Summary: As a , your day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. You engage in collaborative environments that emphasize agile methodologies and modern frameworks to ensure the delivery of scalable and efficient solutions that meet unique business requirements. Your role is dynamic, requiring adaptability and a focus on continuous enhancement of software to support evolving organizational goals. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.- Maintain and improve existing software components to enhance performance and reliability.- Document development processes and solutions to support knowledge sharing and future maintenance.- Assist junior team members by providing guidance and support to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Ariba.- Experience in customizing and integrating SAP Ariba modules to align with business processes.- Strong understanding of software development life cycle and agile methodologies.- Ability to troubleshoot and resolve complex technical issues within SAP Ariba environments.- Familiarity with scripting and automation to optimize workflows and system performance. Additional Information: - The candidate should have minimum 3 years of experience in SAP Ariba.- This position is based at our Mumbai office.- A 15 years full time education is required.
Responsibilities
10 MDC5C Summary: As a Custom Software Engineer, your day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. You engage in collaborative environments that emphasize agile methodologies and modern frameworks to ensure the delivery of scalable and efficient solutions that meet unique business requirements. Your role is dynamic, requiring adaptability and a focus on continuous enhancement of software to support evolving organizational goals. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.- Maintain and improve existing software components to enhance performance and reliability.- Document development processes and solutions to support knowledge sharing and future maintenance.- Assist junior team members by providing guidance and support to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Ariba.- Experience in customizing and integrating SAP Ariba modules to align with business processes.- Strong understanding of software development life cycle and agile methodologies.- Ability to troubleshoot and resolve complex technical issues within SAP Ariba environments.- Familiarity with scripting and automation to optimize workflows and system performance. Additional Information: - The candidate should have minimum 3 years of experience in SAP Ariba.- This position is based at our Mumbai office.- A 15 years full time education is required.
Salary : Rs. 0.0 - Rs. 1,56,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Custom Software Engineer, you will engage in the development of custom software solutions that are designed to meet specific business needs. Your typical day will involve collaborating with cross-functional teams to design, code, and enhance various components across systems or applications. You will utilize modern frameworks and agile practices to ensure the delivery of scalable and high-performing solutions, while also addressing any challenges that arise during the development process. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in software development practices. Roles & Responsibilities: - Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Node.js.- Strong understanding of cloud computing concepts and services.- Experience with software development methodologies, particularly Agile.- Familiarity with containerization technologies such as Docker and Kubernetes.
Responsibilities
As a Custom Software Engineer, you will engage in the development of custom software solutions that are designed to meet specific business needs. Your typical day will involve collaborating with cross-functional teams to design, code, and enhance various components across systems or applications. You will utilize modern frameworks and agile practices to ensure the delivery of scalable and high-performing solutions, while also addressing any challenges that arise during the development process. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in software development practices. Roles & Responsibilities: - Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Node.js.- Strong understanding of cloud computing concepts and services.- Experience with software development methodologies, particularly Agile.- Familiarity with containerization technologies such as Docker and Kubernetes.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Piramal Tower Summary: As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Payments Fundamentals.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud data platforms and services.- Knowledge of data governance and compliance standards. Additional Information: - The candidate should have minimum 2 years of experience in Payments Fundamentals.- This position is based at our Mumbai office
Responsibilities
Piramal Tower Summary: As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Payments Fundamentals.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud data platforms and services.- Knowledge of data governance and compliance standards. Additional Information: - The candidate should have minimum 2 years of experience in Payments Fundamentals.- This position is based at our Mumbai office
Salary : Rs. 0.0 - Rs. 1,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
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
