39 Synthetic Jobs

About The Role Project Role : Technology Support Engineer Project Role Description : Resolve incidents and problems across multiple business system components and ensure operational stability. Create and implement Requests for Change (RFC) and update knowledge base articles to support effective troubleshooting. Collaborate with vendors and help service management teams with issue analysis and resolution. Must have skills : Enterprise Systems Monitoring Tools Good to have skills : Event Management, Solarwinds Administration, Application Performance Management (APM) Architecture Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for an experienced Enterprise Monitoring Specialist with strong hands-on expertise in IPM, APM, NPM, DPM, Log Management, and Synthetic Monitoring. The ideal candidate will have a deep understanding of enterprise monitoring tools architecture, deployment, configuration, integration, and administration. Experience in scripting (Python, Shell) and familiarity with observability platforms is desirable. Must be available to work in 24x7 shifts.Must Have Skills: - Hands on Experience in minimum2 Infrastructure and Network Monitoring - Hands on experience in Log Management (e.g., Splunk, ELK Stack)- Scripting (Python, Shell)- Monitoring dashboard creation and alert configuration- Experience with observability platformsGood to Have Skills: - Experience with cloud monitoring (AWS, Azure, GCP)- Familiarity with RPA tools- Synthetic Monitoring tools - Knowledge of ITIL framework- Understanding of microservices and container monitoringJob Requirements:Key Responsibilities:- Deploy, configure, integrate, and administer enterprise monitoring tools - Design and maintain enterprise monitoring architecture and ensure tool interoperability.- Develop automation scripts and workflows using Python and Shell scripting.- Collaborate with cross-functional teams to ensure monitoring coverage and performance visibility.- Create dashboards and reports for performance analytics and incident response.- Support day-to-day operations and ensure high availability of monitoring platforms.- Contribute to the roadmap for monitoring tool enhancements and automation initiatives.- Provide Level-2/3 support and troubleshooting for monitoring tools.- Document configurations, procedures, and best practices. Technical Experience:Minimum of 2 years of industry experience in administration of enterprise monitoring tools. Good understanding of enterprise tools architecture and scripting. Familiarity with observability platforms and log analytics is a plus. Professional Attributes:Excellent verbal and written communication skills. Ability to work independently and collaboratively in a fast-paced environment. Strong analytical and problem-solving skills. Educational Qualification and Certification:Graduate Degree in Computer Science, Information Technology, or related field. Relevant certifications are a plus. Qualification 15 years full time education

Location - Bangalore (Hybrid) Primary skills - AWS (EC2, EKS, Lambda), Synthetic Monitoring, Dynatrace. Experience Level: 5-7 years of experience in working with Dynatrace and Synthetic Monitoring. Job description: Responsibilities Architecture & Strategy Architect scalable, secure, and resilient synthetic monitoring platforms across hybrid/multi-cloud environments Define robust onboarding strategies for cloud, hybrid, and edge telemetry sources, tailored for synthetic monitoring Tooling & Integration Lead Dynatrace APM adoption with standardized instrumentation and deployment models Integrate observability tooling (preferred: Catchpoint, Dynatrace) to deliver unified insights, with a focus on synthetic monitoring Evaluate emerging technologies; develop custom synthetic monitoring solutions as needed Contribute to open-source or internal observability tooling and standards specifically for synthetic monitoring Collaboration & Enablement Drive documentation, training, and cross-team knowledge sharing to enhance understanding of synthetic monitoring and Dynatrace APM Collaborate with application teams to embed synthetic monitoring into new service architectures Work with security teams on synthetic monitoring compliance, threat detection, and governance

Role Summary. We are seeking a strategic and hands-on Senior Manager to lead our Fraud Strategy function. This person will own the development and performance of fraud models and scorecards, work closely with cross-functional partners to define fraud policies, and ensure effective collaboration with our fraud operations team. The ideal candidate combines strong analytical skills, a solid understanding of fraud typologies in consumer lending, and a pragmatic approach to implementation.. Key Responsibilities. Lead fraud strategy for the lending portfolio, balancing risk mitigation with customer experience and approval rates.. Develop and maintain fraud detection models and anomaly detection systems using internal and third-party data.. Manage fraud scorecard performance and recommend model improvements or policy changes as needed.. Collaborate with fraud operations to monitor real-time fraud trends and adapt policies dynamically.. Partner with product, data engineering, and external vendors to evolve fraud detection infrastructure.. Provide regular fraud performance reporting and deep dives for senior leadership. Act as subject matter expert on fraud data, model outputs, and cross-channel :. 5-8 years of experience in fraud strategy, analytics, or credit risk in financial services or fintech.. Strong understanding of identity fraud, synthetic fraud, first-party fraud, and third-party fraud patterns.. Hands-on experience with fraud models, machine learning tools, and scorecard management.. Advanced proficiency in SQL and Python for data analysis and modeling.. Experience working with third-party fraud data providers and integrating fraud rules or signals into decision engines.. Ability to communicate insights and recommendations clearly to technical and non-technical stakeholders.. Exposure to US consumer lending regulations and risk management practices preferred..

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Manager Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 13 to 18 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation3 CL7 AI Research Scientists1. Deep Expertise in Machine Learning & AI Theory2. Algorithm Design & Theoretical Innovation3. Data Proficiency & Synthetic Data Generation4. Responsible AI & Ethical Awareness5. Programming & ToolingThe Azure OpenAI Service L100 deck also emphasizes the evolution of tooling from symbolic AI to modern generative models 6.6. Collaboration & CommunicationAI Research Scientists often work in interdisciplinary teams and must:Publish researchPresent at conferencesCollaborate with engineers, product teams, and stakeholders2 CL7 ML Research Engineers:1. Mathematical & Statistical Foundations2. Programming & Software Engineering3. Model Development & Experimentation4. MLOps & Deployment5. Data Engineering & Feature EngineeringML Research Engineers must be adept at:Data wrangling, feature extraction, and data validationWorking with structured, unstructured, and streaming dataCollaborating with data engineers to ensure data quality and availability Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved you will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Sr Manager Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 16 to 25 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation1 CL6 AI Research Scientists1. Deep Expertise in Machine Learning & AI Theory2. Algorithm Design & Theoretical Innovation3. Data Proficiency & Synthetic Data Generation4. Responsible AI & Ethical Awareness5. Programming & ToolingThe Azure OpenAI Service L100 deck also emphasizes the evolution of tooling from symbolic AI to modern generative models 6.6. Collaboration & CommunicationAI Research Scientists often work in interdisciplinary teams and must:Publish researchPresent at conferencesCollaborate with engineers, product teams, and stakeholders1 CL6 Data ScientistsThis role requires a unique blend of technical and legal fluency. 1Data Scientists must be able to build and evaluate models that power autonomous agentsespecially those involved in legal document analysis, compliance automation, and contract intelligencewhile ensuring these agents adhere to evolving legal standards 2. According to the GenAI Foundation Strategy_12AUG2024, this includes assessing AI use cases Roles and Responsibilities: In this role you are required to identify and assess complex problems for area(s) of responsibility The individual should create solutions in situations in which analysis requires in-depth knowledge of organizational objectives Requires involvement in setting strategic direction to establish near-term goals for area(s) of responsibility Interaction is with senior management levels at a client and/or within Accenture, involving negotiating or influencing on significant matters Should have latitude in decision-making and determination of objectives and approaches to critical assignments Their decisions have a lasting impact on area of responsibility with the potential to impact areas outside of own responsibility Individual manages large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Location : Bangalore, Mumbai , Textile Hubs (remote) Responsibilities Build and grow domestic & international business Manage the entire P&L for the vertical Increase the wallet share and further deepen business relationships with existing customers Identify, prospect and generate business leads and acquire new customers Achieve monthly sales, margins and collections target • Focus on customer retention and pro-actively work to get repeat orders Share market insights and work closely with PD and R&D team on new product development Create channel partner & dealer network Set-up the supply chain and supplier network in India & China as per product requirement Build merchandising & ops team to manage supplier and ensure timely production as per quality standards Requirements Must have 15+ years of experience in a trading firm/manufacturing unit in the respective industry verticals Proven experience in business development and sales Should have a strong product knowledge and technical knowledge Strong supplier relationship for product sourcing Candidate should be open to meet supplier/buyer proactively, ready to go to Market Must have's : Textile Products/ Fabrics handled ( yarn & fibre, fashion, technical textile, Protective Wear )

About The Role : Job TitleQA Performance Testing, AVP LocationPune, India Role Description DB Anti-Financial Crime (AFC) Our AFC team is responsible for protecting Deutsche Bank from financial and reputational losses incurred by financial crimes by assessing, controlling and mitigating risks. Risk types related to Anti-Financial Crime are consolidated in a comprehensive and effective risk management framework that covers Anti-Money-Laundering, Sanctions & Embargoes, Anti-Bribery & Corruption as well as Anti-Fraud & Investigations. We are seeking a Senior Performance Test Engineer to lead performance validation efforts for critical transaction monitoring systems in a financial services environment. You will design and execute load, stress, and scalability tests using Micro Focus LoadRunner (VuGen) and manage large-scale synthetic data creation to mirror complex production data models. The role requires strong collaboration with development, infrastructure, and business teams to ensure system stability and performance under high transaction volumes. Experience in financial services performance testing, data modeling, and synthetic data generation is essential. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Design, develop, and execute performance test scripts using Micro Focus LoadRunner (VuGen). Model complex transaction data flows to simulate real-world banking transaction volumes and patterns. Collaborate with architecture, development, and infrastructure teams to define performance benchmarks and SLAs. Create and manage large synthetic datasets to accurately reflect production-like conditions. Analyze performance test results to identify bottlenecks and provide actionable recommendations. Conduct scalability, stress, endurance, and load tests in large-scale environments. Develop performance test strategies and contribute to test plans and test cases for performance validation. Document findings and report to stakeholders with clear metrics and analysis. Mentor and guide junior performance engineers when needed. Your skills and experience Bachelor's degree in Computer Science, Information Systems, or related field. 5+ years of experience in performance testing, with a focus on financial or transaction monitoring applications. Proven expertise with Micro Focus LoadRunner (VuGen) and strong scripting experience (C, Java, or protocol-specific scripting). Experience with large data models and understanding of relational databases (Oracle, SQL Server, GCP BQ, CDSW, HIVE, etc.). Strong understanding of synthetic data generation techniques and data masking principles. Knowledge of monitoring tools (e.g., Dynatrace, AppDynamics, Grafana, OEM, GCP console) for correlation and root cause analysis. Familiarity with transaction monitoring systems, regulatory compliance, and anti-money laundering (AML) use cases is a strong plus. Excellent analytical, problem-solving, and communication skills. Working in parallel on more than one initiative, good time and priorities management Good communication, organizational and test reporting skills Preferred Experience working in cloud or hybrid cloud environments (GCP). Familiarity with Continuous Integration/Continuous Deployment (CI/CD) pipelines and automated performance testing frameworks. Hands on experience in using test and defects management tools (JIRA, HP ALM, Zephyr) ISTQB or performance testing certifications are a plus. Financial Services Domain knowledge Experience in working in and with distributed vendor model; Excellent analytical, problem-solving, and communication How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Assoc Mgr Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 10 to 14 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation1 CL8 AI Research Scientists1. Deep Expertise in Machine Learning & AI Theory2. Algorithm Design & Theoretical Innovation3. Data Proficiency & Synthetic Data Generation4. Responsible AI & Ethical Awareness5. Programming & ToolingProficiency in:Python, TensorFlow, PyTorch, and JAXCloud-based AI platforms (e.g., Azure OpenAI, AWS SageMaker)Version control, containerization (Docker), and MLOps pipelinesThe Azure OpenAI Service L100 deck also emphasizes the evolution of tooling from symbolic AI to modern generative models 6.6. Collaboration & CommunicationAI Research Scientists often work in interdisciplinary teams and must:Publish researchPresent at conferencesCollaborate with engineers, product teams, and stakeholders2 CL8 ML Research Engineers:1. Mathematical & Statistical Foundations2. Programming & Software Engineering3. Model Development & Experimentation4. MLOps & Deployment5. Data Engineering & Feature EngineeringML Research Engineers must be adept at:Data Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Educational Requirements Bachelor of Engineering Service Line Infosys Quality Engineering Responsibilities The Test Data Management (TDM) architect is responsible for end-to-end TDM strategy, architecture, and governance across enterprise applications. This role leads the design and implementation of scalable test data provisioning, masking, synthetic data generation solutions and managing test data across non-production environments ensuring compliance, consistency, and readiness to support functional, integration, performance and automation testing especially in complex enterprise environments with integrated systems like Salesforce/SAP, and others.The architect works closely with testing, development, compliance, DBA, and DevOps teams in a delivery environment. Additional Responsibilities: Preferred Skills: Experience with data virtualization Proficiency in scheduling tools like Control-M, ESP. SF data model and metadata familiarity SAP data model and table knowledge Experience with cloud platform Knowledge of DevOps tooling (Jenkins, Git, Azure DevOps) Expertise in data migration testing and ETL testing techniques. Scripting knowledge (Python, Shell) for custom provisioning solutions Technical and Professional Requirements: Strong expertise in Data Masking, Data Subset, Discovery of sensitive data, Synthetic data creation, Data Virtualization, Self-service portal. Hands-on experience with database technologies such as DB2, Oracle, and MS SQL for enterprise applications. Good Understanding of data compliance, regulatory standards (PII/PHI/PCI, GDPR, HIPAA etc.) and experience in implementing streamline test data refresh processes Advanced scripting skills using SQL, PL/SQL, SSIS, and JCL is advantageous. Integrating TDM practices into Agile/CI-CD environments. Proficiency and Hands on experience in Test Data Management tools like Broadcom CA TDM, IBM-Optim, GenRocket, Informatica TDM, Delphix, K2View. Experience with REST/SOAP APIs for test data automation Preferred Skills: Technology->Open System->Open System- ALL->Python Technology->Cloud Platform->Cloud Platform - ALL Technology->Data Services Testing->Data Warehouse Testing->ETL tool Technology->Data Services Testing->Test Data Management Technology->DevOps->DevOps Architecture Consultancy Technology->DevOps->Continuous Testing

The Assistant Manager New Part Development will lead and coordinate the design, prototyping, and industrialization of new rubber components. This role demands technical expertise in rubber materials and molding processes, along with strong project management and cross-functional collaboration skills. Key Responsibilities Product Development Analyze customer requirements and convert them into technical specifications Design rubber components using CAD tools and validate through simulations Select appropriate rubber compounds based on performance criteria and environmental conditions Develop process flow diagrams and control plans for new parts Coordinate with tooling vendors for mold design and development Prototyping & Testing Oversee prototype manufacturing and conduct trials Plan and execute product validation tests (e.g., tensile, compression, aging, chemical resistance) Analyze test results and implement design improvements Industrialization Collaborate with production and quality teams to ensure smooth transition to mass production Conduct process capability studies and implement corrective actions Support APQP, PPAP, and FMEA documentation Project Management Manage timelines, budgets, and resources for new part development projects Interface with customers and suppliers for technical discussions, approvals, and audits Monitor engineering change requests (ECRs) and ensure timely implementation Required Skills & Competencies Technical Skills Strong knowledge of rubber materials (natural, synthetic, thermoplastic elastomers) Expertise in molding processes: compression, injection, transfer Proficiency in CAD software (e.g., SolidWorks, AutoCAD) Familiarity with testing standards (ASTM, ISO) and lab equipment Understanding of tooling design and manufacturing Soft Skills Excellent communication and presentation abilities Strong analytical and problem-solving mindset Ability to lead cross-functional teams and mentor junior engineers Time management and multitasking under tight deadlines Qualifications Bachelors degree in Mechanical Engineering, or related field 4–8 years of experience in rubber product development Experience with automotive or industrial rubber components preferred Knowledge of ERP systems and BOM creation Experience with customer audits and supplier development Exposure to sustainability practices in rubber manufacturing

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Sr Manager Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 16 to 25 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation1 CL6 AI Research Scientists1. Deep Expertise in Machine Learning & AI Theory2. Algorithm Design & Theoretical Innovation3. Data Proficiency & Synthetic Data Generation4. Responsible AI & Ethical Awareness5. Programming & ToolingThe Azure OpenAI Service L100 deck also emphasizes the evolution of tooling from symbolic AI to modern generative models 6.6. Collaboration & CommunicationAI Research Scientists often work in interdisciplinary teams and must:Publish researchPresent at conferencesCollaborate with engineers, product teams, and stakeholders1 CL6 Data ScientistsThis role requires a unique blend of technical and legal fluency. 1Data Scientists must be able to build and evaluate models that power autonomous agentsespecially those involved in legal document analysis, compliance automation, and contract intelligencewhile ensuring these agents adhere to evolving legal standards 2. According to the GenAI Foundation Strategy_12AUG2024, this includes assessing AI use cases Roles and Responsibilities: In this role you are required to identify and assess complex problems for area(s) of responsibility The individual should create solutions in situations in which analysis requires in-depth knowledge of organizational objectives Requires involvement in setting strategic direction to establish near-term goals for area(s) of responsibility Interaction is with senior management levels at a client and/or within Accenture, involving negotiating or influencing on significant matters Should have latitude in decision-making and determination of objectives and approaches to critical assignments Their decisions have a lasting impact on area of responsibility with the potential to impact areas outside of own responsibility Individual manages large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Manager Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 13 to 18 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation3 CL7 AI Research Scientists1. Deep Expertise in Machine Learning & AI Theory2. Algorithm Design & Theoretical Innovation3. Data Proficiency & Synthetic Data Generation4. Responsible AI & Ethical Awareness5. Programming & ToolingThe Azure OpenAI Service L100 deck also emphasizes the evolution of tooling from symbolic AI to modern generative models 6.6. Collaboration & CommunicationAI Research Scientists often work in interdisciplinary teams and must:Publish researchPresent at conferencesCollaborate with engineers, product teams, and stakeholders2 CL7 ML Research Engineers:1. Mathematical & Statistical Foundations2. Programming & Software Engineering3. Model Development & Experimentation4. MLOps & Deployment5. Data Engineering & Feature EngineeringML Research Engineers must be adept at:Data wrangling, feature extraction, and data validationWorking with structured, unstructured, and streaming dataCollaborating with data engineers to ensure data quality and availability Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved you will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Strong experience in sourcing woven/knit grey fabrics Polyester ,Nylon ,Viscose ,PV. Coordinate with weavers ,dyeing & printing mills. Should have good knowledge about processing and mills and grey fabric weavers. Bring new weavers and new fabrics. Required Candidate profile Identify potential suppliers of knit & woven fabrics Maintain accurate records of supplier communications, quality assessments Prepare reports on fabric usage, supplier performance, and cost analysis Perks and benefits No bar for right candidate!

Role & responsibilities 1. Sales Strategy Development: Develop and execute strategic sales plans to achieve revenue targets for the Plastic Division, aligning with the company's overall objectives and current market trends. Responsible for the sales and marketing of various plastic resins and films. 2. Global Coordination: Collaborate with the Toray Group across global locations, especially with teams in Japan, Malaysia, China, Thailand, and Taiwan, to align business strategies and leverage international support. 3. Market Development: Identify and develop new markets in sectors such as home appliances, automobiles, and food packaging, both within India and internationally. 4. Client Relationship Management: Build and maintain strong, long-term relationships with existing clients while actively identifying and developing new business opportunities. Ensure high levels of customer satisfaction and client loyalty through proactive support and service. 5. Documentation and Compliance: Ensure all sales activities comply with relevant laws, regulations, and company policies. Maintain accurate records of transactions, contracts, and communication with clients. 6. Market Research and Analysis: Monitor industry trends, market dynamics, and competitor activities. Conduct detailed market research to uncover new client segments, market opportunities, and strategic insights. 7. Product Promotion and Sales Execution: Effectively promote plastic resins and film products through direct sales, presentations, industry exhibitions, and trade shows. Manage contract negotiations and pricing discussions to finalize deals and close sales. 8. Reporting and Analysis: Prepare and present monthly MIS reports, Minutes of Meetings (MoM), and budget sheets. Offer data-driven insights to support strategic decision-making. 9. MIS & Order Management: Generate customer-related MIS reports and manage follow-ups for repeat and new orders. Maintain thorough documentation of customer interactions and order progress to ensure efficient order execution. 10. Logistics and Delivery Coordination: Manage end-to-end logistics to ensure timely and accurate delivery of consignments in line with the proforma invoice. Work closely with logistics partners and internal departments to avoid delivery issues. Preferred candidate profile Bachelor's degree in Science (Polymers) or B.Tech in Plastics Technology Minimum of 3 to 6 years of proven experience in plastic sales, especially in resins and films Strong understanding of plastic materials, industry trends, and market behaviors Excellent presentation, communication, negotiation, and interpersonal skills Ability to work independently and collaboratively in a multicultural environment Proficient in MS Office and SAP Software Willingness to travel both domestically and internationally is mandatory

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Assoc Mgr Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 10 to 14 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation1 CL8 AI Research Scientists1. Deep Expertise in Machine Learning & AI Theory2. Algorithm Design & Theoretical Innovation3. Data Proficiency & Synthetic Data Generation4. Responsible AI & Ethical Awareness5. Programming & ToolingProficiency in:Python, TensorFlow, PyTorch, and JAXCloud-based AI platforms (e.g., Azure OpenAI, AWS SageMaker)Version control, containerization (Docker), and MLOps pipelinesThe Azure OpenAI Service L100 deck also emphasizes the evolution of tooling from symbolic AI to modern generative models 6.6. Collaboration & CommunicationAI Research Scientists often work in interdisciplinary teams and must:Publish researchPresent at conferencesCollaborate with engineers, product teams, and stakeholders2 CL8 ML Research Engineers:1. Mathematical & Statistical Foundations2. Programming & Software Engineering3. Model Development & Experimentation4. MLOps & Deployment5. Data Engineering & Feature EngineeringML Research Engineers must be adept at:Data Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

We are looking for an experienced Synthetic Monitoring Engineer with strong hands-on expertise in AppDynamics and Splunk. The ideal candidate will be responsible for setting up and managing synthetic monitoring solutions to ensure application availability, performance, and user experience across key digital services. Key Responsibilities: Design, implement, and maintain synthetic monitoring scripts using AppDynamics Synthetic Monitoring or equivalent tools. Configure proactive monitoring dashboards and alerts for application health and performance. Leverage Splunk for log analysis, correlation, and root cause investigation. Collaborate with application, infrastructure, and DevOps teams to optimize monitoring strategies and incident detection. Create real-time dashboards and alerts for key application performance metrics. Develop runbooks and documentation for synthetic monitoring processes and escalation procedures. Continuously optimize synthetic journeys to reflect real user behavior and business critical workflows. Conduct health checks and gap analysis in the existing monitoring setup and provide recommendations. Required Skills: 3 to 5 years of experience in application performance monitoring with AppDynamics. Strong experience with Splunk for log monitoring, custom dashboards, and alerting. Solid understanding of synthetic monitoring techniques and tools. Experience with scripting (e.g., JavaScript, Python, Selenium, etc.) for synthetic test automation. Good knowledge of web technologies, APIs, and distributed systems. Familiarity with CI/CD pipelines and integrating monitoring into DevOps workflows. Strong troubleshooting and analytical skills. Nice to Have: Exposure to cloud platforms (e.g., AWS, GCP, Azure). Knowledge of infrastructure monitoring (e.g., Prometheus, Grafana).

Role Summary. We are seeking a strategic and hands-on Senior Manager to lead our Fraud Strategy function. This person will own the development and performance of fraud models and scorecards, work closely with cross-functional partners to define fraud policies, and ensure effective collaboration with our fraud operations team. The ideal candidate combines strong analytical skills, a solid understanding of fraud typologies in consumer lending, and a pragmatic approach to implementation.. Key Responsibilities. Lead fraud strategy for the lending portfolio, balancing risk mitigation with customer experience and approval rates.. Develop and maintain fraud detection models and anomaly detection systems using internal and third-party data.. Manage fraud scorecard performance and recommend model improvements or policy changes as needed.. Collaborate with fraud operations to monitor real-time fraud trends and adapt policies dynamically.. Partner with product, data engineering, and external vendors to evolve fraud detection infrastructure.. Provide regular fraud performance reporting and deep dives for senior leadership. Act as subject matter expert on fraud data, model outputs, and cross-channel :. 5-8 years of experience in fraud strategy, analytics, or credit risk in financial services or fintech.. Strong understanding of identity fraud, synthetic fraud, first-party fraud, and third-party fraud patterns.. Hands-on experience with fraud models, machine learning tools, and scorecard management.. Advanced proficiency in SQL and Python for data analysis and modeling.. Experience working with third-party fraud data providers and integrating fraud rules or signals into decision engines.. Ability to communicate insights and recommendations clearly to technical and non-technical stakeholders.. Exposure to US consumer lending regulations and risk management practices preferred..

: Job TitleCapital & Liquidity Management Specialist, VP LocationMumbai, India Role Description Treasury at Deutsche Bank is responsible for sourcing, managing, and optimizing the banks financial resources while providing high-quality guidance on financial resource deployment. This is supported by a best-in-class, integrated, and consistent Treasury risk framework, enabling Treasury to clearly identify the banks resource demands, transparently set incentives by allocating resource costs to businesses, and manage evolving regulations. Treasurys fiduciary mandate encompasses the banks funding pools, asset and liability management (ALM), and liquidity reserves management, thereby supporting businesses in achieving their strategic targets at both global and local levels. Additionally, Treasury optimizes all financial resources through various lenses to implement the groups strategic objectives and maximize long-term return on average tangible shareholders equity (RoTE). The current role is part of Treasury Office in Deutsche India Private Limited, Mumbai. The role requires interactions with all key hubs i.e. Frankfurt, London, New York and Singapore. Function Description: Group Capital Management is a crucial part of Treasury and plays a central role in the execution of DBs strategy. While GCM manages DB Groups solvency ratios (CET 1, T1, Total capital ratio, leverage ratio, MREL/TLAC ratios, ECA ratio) together with business divisions and other infrastructure functions. The Capital Management Specialist a role in the Solvency Management team of GCM, plays a crucial role in supporting senior management's decision-making processes regarding banks solvency management. This involves conducting comprehensive analyses and effectively communicating findings through presentations to optimize the banks balance sheet and risk management strategies. The current role emphasizes managing asset distributions, thereby underpinning our strategic objective of maintaining a capital-light business model What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities The Capital Management Specialist in the Solvency Management Team, with a focus on asset distributions, is responsible for the following: Reviewing DBs originated assets for opportunities to optimize capital efficiency and free up capital for further use: Identifying candidate portfolios Understanding portfolio characteristics Deriving the economic impact and shareholder value addition of transactions Assessing the benefits for DB Group and its divisions Orchestrating discussions on asset distribution proposals Preparing and presenting proposals to senior management of Treasury, business divisions, trade executing units (e.g., Strategic Corporate Lending, DWS structuring, IB structuring), and reporting functions Supporting and orchestrating the decision-making process for specific asset distribution trades Collaborating with business divisions and executing units on trade details and facilitating execution Operating and improving DBs asset rotation tool to facilitate the above analyses. Additionally, the Capital Management Specialist will coordinate with other team members on: Managing the monthly forecast and annual plan for risk-weighted assets with a focus on asset distribution Managing the monthly forecast and annual plan of all capital elements Your skills and experience 15+ years of experience in the Banking/Financial Services industry Educational background in Finance, Economics, Statistics, Data Science, or a comparable business subject, with relevant practical experience in banking/financial services Expertise in securitizations, synthetic securtisation, CDO, CLO and debt funds, and their impacts on key capital management and bank performance KPIs would be quite useful Knowledge and experience with banking regulations and financial instruments, would be added advantage. Strong analytical skills and a numerical mindset High proficiency in MS Office (MS Excel, VBA) Python or other programming skills (preferred but not essential) Knowledge of the German language (a plus but not essential) Effective organizational and interpersonal skills Ability to work collaboratively with other teams, even when priorities may conflict, to gain insights amicably How well support you . . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Role & responsibilities Conduct synthesis and process development experiments under the guidance of R&D scientists. Prepare reagents, carry out reactions, and monitor processes using TLC, HPLC, GC, NMR, and other tools. Record experimental procedures and results meticulously in lab notebooks and data sheets. Support scale-up trials from gram to kilogram scale; assist in transferring processes to pilot/manufacturing. Work on a range of chemistries including esters, surfactants, polymer intermediates, and fi ne chemicals. Assist in analytical method development, sample submissions, and customer evaluations. Maintain lab hygiene, safety protocols, and raw material inventory. Preferred candidate profile B.Sc. / M.Sc. in Organic Chemistry, Applied Chemistry, or Chemical Sciences. 13 years of hands-on lab experience in a chemical or specialty chemical R&D setup. Exposure to synthesis, reaction monitoring, and basic analytical techniques. Basic understanding of scale-up challenges and process parameters. Good documentation, problem-solving, and communication skills.

Job title : Chemistry Scientist Job location : Bangalore Core Purpose of the Role: Personnel handling this profile will be responsible for conducting reactions and delivering final compounds within a fast turnaround time, meeting the specific requirements of both the project and Syngene. The candidate should be capable of independently designing the synthetic scheme for any target and solve chemistry problems. He or she should ensure that the experimental observations are recorded contemporaneously and in compliance with the Electronic Laboratory Notebook (ELN) policies of the project and Syngene. Role Accountabilities: Expected to design a synthetic scheme for any given target and to be proactive in identifying rate limiting steps along with the mitigation strategy. The candidate should be well versed in using literature search engines and predictive synthesis tools Perform synthetic chemistry reactions, reaction workups, purification of the compounds by column chromatography, crystallization, re-crystallization techniques, preparative TLC and operating lab equipments Ensure that the samples generated during synthesis are given for analysis and record subsequent results obtained and update the supervisor / group leader on the progress of synthesis and ensure samples are packed appropriately for shipment Record the observations of experiment/reaction, results, utilization of resources and other activities related to the reaction in the laboratory or e-notebook following guidelines and in timely manner and ensure that the same is handled safely and confidentially. The candidate should be capable of meeting Syngenes productivity expectations (# of compounds/month, # of steps/month and productivity index of around 1.5) without compromising on safety and quality. The candidate should be capable of synthesizing the final compounds at a faster turnaround time. The candidate should have excellent analytical interpretation and purification skills. Ensure that they know the SDS of the chemicals they are handling and aware of emergency response procedures in case of accidental spillage, leakage or fire and ensure proper waste segregation as per EHS norms. Always follow EHS and quality system requirements in the workplace ensuring individual safety and lab safety. Attend all mandatory trainings and update training records as and when trainings are completed. Always ensure confidentiality. Specific requirements for this role Experience : 2.5-10 years Skills and Capabilities: Should have deeper knowledge with concepts of organic synthesis and reaction mechanisms. Should be capable of designing synthetic schemes and troubleshooting synthesis problems independently. Should be excellent in purification and analytical interpretation skills. Familiar with operations of relevant apparatus - instrument / equipment. Education: M.Sc. in organic chemistry

Position: General Manager Spinning Company: Gimatex Industries Pvt. Ltd. Location: Ram Mandir Ward, Hinganghat 442 301, District: Wardha (Near Nagpur), Maharashtra Experience: Minimum 20 Years Education: B.Tech in Textiles / Diploma in Textiles Compensation: Commensurate with experience and skill set Job Description: We are seeking an experienced and results-driven General Manager Spinning to oversee the operations of one of our spinning units, which includes 64,000 spindles producing Cotton and P/C yarns . The candidate will be responsible for ensuring the highest levels of productivity, quality, efficiency, and cost-effectiveness across the unit. Key Responsibilities: Lead overall operations of the spinning unit with focus on production management, quality control , and maintenance Plan and execute production schedules, capacity utilization, and manpower deployment Ensure adherence to quality standards for Cotton & Synthetic Blended Yarns Oversee preventive and breakdown maintenance activities to ensure machine uptime Implement continuous improvement practices to optimize performance and reduce waste Prepare and present operational reports to top management Ensure compliance with all safety, statutory, and environmental regulations Drive employee training, performance management, and team development Coordinate with other business units and corporate functions for smooth operations Candidate Profile: Proven leadership in managing spinning operations (min. 64,000 spindles) Hands-on experience with synthetic and cotton-blended yarns Strong knowledge of fibers such as Cotton, Polyester, P/C, Viscose, Modal, Tencel, Poly Modal, Slub , etc. Expertise in production planning, quality assurance, maintenance, and manpower management Strong communication, decision-making, and problem-solving skills Ability to work independently and lead large teams

Chemveda is hiring for Ph.D Chemistry Freshers for our Discovery Chemistry Team Qualification - Ph.D Chemistry (2024,2025 passed outs) Department - Discovery Synthesis Position Name - Senior Research Associate Work Location - Hyderabad Key Skills and Competencies: Experience in Organic Synthesis/Multi-step Synthesis Handling reactions from mg to KG scale. Sound Knowledge of isolation, separation & purification techniques. Experience in characterization and identification of Organic molecules using spectroscopy techniques like NMR, IR, LCMS, HPLC. Positive and confident individual with strong work ethics. Team player and good communication skills Interested candidates can share their profiles with ramasatish.uppuluri@chemvedals.com or Whatsapp - 9100490347

Role & responsibilities Perform synthetic chemistry reactions, reaction workups, purification of the compounds by column chromatography, crystallization, re-crystallization techniques, preparative TLC and operating lab equipments Ensure that the samples generated during synthesis are given for analysis and record subsequent results obtained and update the supervisor / group leader on the progress of synthesis and ensure samples are packed appropriately for shipment Record the observations of experiment/reaction, results, utilization of resources and other activities related to the reaction in the laboratory or e-notebook following guidelines and in timely manner and ensure that the same is handled safely and confidentially. Ensure that the instrument / equipment is calibrated, undergone preventive maintenance and are kept clean before use and in case of any breakdown, report to maintenance immediately Ensure that they know the MSDS of the chemicals they are handling and aware of emergency response procedures in case of accidental spillage, leakage or fire and ensure proper waste segregation as per EHS norms Always follow EHS and quality system requirements in the workplace ensuring individual safety and lab safety Attend all mandatory trainings and update training records as and when trainings are completed Always ensure confidentiality

Will be Heading international Marketing of Polyester/Synthetic Yarns in International Markets, team handling & provide leadership. Responsible for achieving targets & P&L responsibility for Yarn export business. Required Candidate profile Should be handling & handling Polyster yarn export business for a leading polyster yarn manufacturing company. Should have established relationships in international markets & a proven track record. Perks and benefits Not a Constraint

Role & responsibilities To launch Automotive oils 4 T oil, Engine oils for passanger vehicle, heavy duty vehicle, Tractor, Construction equipments, Brake oil, Radiator coolants, ADD BLUE, Greases – long life greases etc To attend all retail customer, give them the in depth advantage for use of Automotive oils, greases and meet the mechanic for support and promotion of EASTTO products To study the market for demand of various SMALL PACK required and select the brand name, take trade mark registration. Making price list and equivalent chart against all the major oil company Develop Automotive oil grades – Synthetic Oils, Greases as per OEM CUSTOMER. To organize and LAUNCH OF NEW PRODUCTS for retail segment -Passenger car, heavy vehicle, tractor segment etc Arrange MECHANIC MEET AND TRANNING, discuss the benefit of the product use, application and performance. New product PACKAGING DEVELOPMENT – labels for bottles, caps, out box designing. To design label for all grade and making content writing for various Automotive oils, greases etc Select PRODUCT PROPOMTION items for retail and get the same designed through graphic designers. Make various banners, posters to be placed out side retail shops and scheme for promotion. Make Brochure, booklet individual PRODUCT DATA SHEET and showing the performance meeting specification, find the result after trial. Meeting large fleet owners for the promotion of Automotive oils and promote the same to garages of fleet owners doing the maintenance Making presentation of all Individual Products – presentation. Attending customer complain and selecting additive to meet the performance. Formulation of Automotive oils – high end synthetic oils with good quality base oils, greases. Getting products tested from reputed laboratory as pet ASTM, IP, ISI, DIN standards and get the approval certificate. Analysis of used engine oil samples after 5000, 10,000 km of products received from customers during various stages of usage and upgrading the product performance. Performing the inspection and testing of regular production batches as per specifications. In case of non-conformance, finding the cause for failure and taking corrective actions. Raw materials, intermediates products and packaging materials also tested for quality. Evaluation of various competitor samples for comparisons and 5research purpose. Preparation of standard specifications for quality check Preparation of product data sheet and to make amendment in the same. Preparation of material safety data sheet and to amend the same with safety icon and codes. Conduct successful trial and get the data collected from customers end from large fleet owners. Preparation of manufacturing procedure for production with all details sequence of addition of raw materials, additive and intermediate control test Preparation of specifications of raw materials used in formulations Well versed with ISO 9001:2015 procedures and requirements. To collect data after the engine are over hauled and the engine oil get good performance, good fuel efficiency. Preferred candidate profile