10 Quality and Productivity Jobs

• Full Time

• 6 - 15 Years

• ISO 9001
• Lean based improvement methodology

ResponsibilitiesExecution & ImpactBuilds and scales advanced analytical engines (predictive, prescriptive, simulation-based) to support transformation initiatives across service lines.Owns enterprise performance management—setting Q&P goals, publishing executive insights, and driving continuous improvement.Establishes risk analytics frameworks to proactively identify, predict, and…

• Full Time

• 5 - 8 Years

• Automated Testing - ALL
• Mobile Automation Testing
• Selenium-Java

ResponsibilitiesPrimary skills:Process-Testing processes-Test Automation Process,Technology-ASP.Net-ASP.Net Web API,Technology-Java-Core Java Additional ResponsibilitiesLocation - Pan India, Base location is subject to business requirements.. Technical and Professional RequirementsPossess end-to-end knowledge and experience in testingExtensive experience in test planning/ test strategy, test estimatesExcellent…

• Full Time

• 10 - 20 Years

• LLMOps
• model framework (langchain)
• Python

ResponsibilitiesData collection, profiling, EDA & data preparationAI Model development, tuning & validationVisualization tools (e.g., PowerBI, tableau)Present findings to business users & project management teamsPropose ML based solution approaches and estimates for new use casesContribute to AI based modules…

• Full Time

• 5 - 10 Years

• LLMOps
• model framework (langchain)
• Python

ResponsibilitiesData collection, profiling, EDA & data preparationAI Model development, tuning & validationVisualization tools (e.g., PowerBI, tableau)Present findings to business users & project management teamsPropose ML based solution approaches and estimates for new use casesContribute to AI based modules…

• Full Time

• 11 - 18 Years

• Generative AI - Basic
• Lean based improvement methodology
• Master Black Belt

ResponsibilitiesIndependently lead portfolio-level Lean, value stream and opportunity discovery interventions, translating current-state waste, bottlenecks and variability into AI-first future-state operating models.Create and govern transformation roadmaps that combine Lean, Six Sigma, GenAI, process transformation RPA / workflow automation, analytics,…

• Full Time

• 7 - 13 Years

• CMMI Process Area wise process definitions
• ISO 27001
• ITIL

ResponsibilitiesIdentifying Opportunities to adopt the best process, practice, and tools in our projectsIdentifying Opportunities to optimize cost and eliminate wastage across projectsAdopting and implementing the latest developments in Agile Project executionDerisk Projects by planning and implementing strategies for…

• Full Time

• 7 - 13 Years

• Green Belt
• Lean based improvement methodology
• Project Management

ResponsibilitiesTargeted Lean intervention and Opportunity Identification aligned to the defined goals in theallocated programs. Facilitate design of solution and ensure identified opportunities arerealized.Contribute to creating new models, frameworks and toolkits, pilot the same and deploy acrossorganization.Ensuring the new…

• Full Time

• 6 - 10 Years

• Information Security Compliance
• ISO 27001
• TL9000 Quality manual and associated processes

ResponsibilitiesInformation security standards ISO 27001, ISO 31000 risk management standards, ISO 22301, CISA (certified information systems auditor), CISM/CISSP/CEH/CIPP-E / CIPP -US /CCIE/CCNA/ COBIT/SOX/ SSAE18, CISM etcAdvanced Networking principles/ software engineering principles/ information security principles, Additional knowledge and domain…

• Full Time

• 2 - 10 Years

• Salesforce Copado

ResponsibilitiesPlatform Development and Management1. Design, develop, and maintain Internal Developer Platform (IDP) tools, ensuring they meet the needs of engineering teams.2. Build and enhance self-service capabilities such as resource provisioning, CI/CD pipelines, and service management within the platform.3.…

• Full Time

• 3 - 12 Years

• AI/ML Solution Architecture and Design
• MLOps
• Prompt Engineering

ResponsibilitiesPython, data structures, basic software engineering discipline (clean code, testing)ML fundamentals: supervised/unsupervised learning, metrics, bias/variance, evaluationData handling: SQL, data quality, feature understandingGit, basic CI/CD awarenessCloud basics (any of AWS/Azure/GCP), containers (Docker) basics Additional ResponsibilitiesDistributed computing: Spark, RayData engineering…