Bosch Global Software Technologies

Job Description Sales & Business Development for Electric Drives and Controls for allocated Customers (OEM Manufactures of Plastic Molding Machines, Packaging , Printing and General Automation), Offers technology to address customer needs and value requested in coordination with Application / Technical Team Work closely together with Technology Experts, Sales Experts, Sales Managers and other Sales-related functions in a Team. Customer Potential Analysis for developing new Customers Competition Analysis Regularly capture Market trends & plan necessary measures as required Create a customer development plan for Sales Target Planning before start of the year Assess Potential of each of his allocated Customers with support of Technology Expert when needed Qualifications B.E (Electrical/Electronics) with 5 - 10 years of Experience

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, its the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description As a Transport Data Management Specialist (m/f/d), you will support implementation, and optimization of digital twins for automated identification and control of transport processes based on EDI data. You will work closely with Logistics Service Providers (LSPs), internal IT departments, and Supply Chain teams to maximize data quality, transparency, and efficiency in transport planning. Data Management & Automation Support implementation of a Digital Twin model for automated capture and analysis of transport data Ensuring correct referencing of shipment objects by assigning SAP OD pairs Monitoring & Quality Management Continuous analysis of EDI data quality and implementation of measures to improve data integrity Definition and monitoring of KPI targets for reference mapping quotas (target: 90%) Development of deviation reports to identify erroneous or missing references Communication & Training Collaboration with logistics service providers to optimize EDI data quality Conducting training sessions for LSPs on how to correctly capture and process transport references Support internal departments in the analysis and optimization of transport processes Process Optimization & Digitalization Identification and implementation of automation solutions to reduce manual rework Development of error logs & alert systems for early detection and resolution of data errors Integration of the Digital Twin with existing SAP, NGSR, and transport management systems Qualifications Professional Qualifications Completed degree in Logistics, Supply Chain Management, Computer Science, Business Informatics, or a related field Experience in transport management and working with EDI interfaces and SAP integrations Knowledge of data analysis, process digitalization, and automation Understanding of EDI standards (e.g., IFTSTA, API) and their application in logistics Personal Skills & Soft Skills Analytical thinking and problem-solving skills to optimize digital processes Strong communication and teamwork skills for collaboration with internal and external partners Initiative and innovative spirit to drive digital transformation projects Desirable Additional Qualifications Experience with databases & BI tools (e.g., SQL, Power BI, Tableau) Knowledge of programming languages such as Python or R for data analysis

Roles & Responsibilities : Senior Test automation Engineer who can work independently in project and drive the Test automation End2End in ERP/SAP ecosystem. Should know CI/CD tools (Jenkins, Jira) Design, develop, test, and implement SAP and Web automation-based business process solutions (Mandatory) Know-how on the usage of XF Definitions Qualifications Educational qualification: BE/B.Tech/M.C.A/M.Sc from Recognized University/ College Experience : 3-7 Yrs. of experience in Test Automation using the Worksoft Certify Tool (Mandatory) 1-2 Yrs. of experience working on SAP Solution Manager (SolMan) Mandatory/requires Skills : Strong Knowledge of SAP ERP, SAP S/4HANA, and Web Application Test Automation using Worksoft Certify * Experience working on SolMan by creating Test Configuration, Test Plan, Test Package, and Test Execution * Good Experience in using Jenkins and Jira-Xray with Certify * Must have excellent written and oral communication skills (Mandatory) * Should be proactive in communication, taking up new tasks (Project or Organization/Dept. initiated) * Should have good problem-solving and analytical skills * Should have working experience in Waterfall and Agile methodologies Preferred Skills : 1. Should be ISTQB Foundation Level Certified Show more Show less

JD: Terraform and YAML deployments on Azure Good Troubleshooting skills Hands-on on Azure services deployments. (Infra + Apps) Migration experience from AWS to Azure Helm charts deployment Argo CD, Bamboo, Teckton

Job Description Job Overview: The Employee Onboarding Specialist is responsible for overseeing and managing the end-to-end onboarding process for new and transferred employees ensuring that it is structured, streamlined, and aligned with organizational goals. This individual will plan, execute, and optimize onboarding projects, focusing on creating a welcoming, efficient, and engaging experience for new hires. The Onboarding Delivery Manager will collaborate with various teams, including HR, IT, Recruitment, and Hiring Managers, to ensure a seamless and hazzle free integration of new employees into the organization. Key Responsibilities: Candidate Onboarding Planning and Employee Record Room Maintenance Manage the planning, design, and execution of comprehensive onboarding strategies to enhance employee experience Coordinate with cross functional teams cross multiple departments to ensure all onboarding activities are aligned and completed on schedule. Create and maintain project plans, timelines, and status reports to track onboarding progress. Oversee the logistics and timelines of onboarding tasks, including new hire documentation, support for IT setup, and benefits enrollment. Responsible for maintaining employee records as per the company data protection policy. Plan and execute project for safe storage of existing and future employee documents Update SOP and Work instructions related to Employee Onboarding process. People Management: Responsible for performance management of team members. Define individual and team goals aligned with department objectives. Ensure that team members have the tools, equipment, and support they need to succeed. Allocate tasks and responsibilities effectively based on skills and workload capacity. Identify high-potential employees and prepare them for leadership roles through training and mentorship. Manage the recruitment and hiring process for team members, including interviewing, selection, and onboarding. Ensure new hires are effectively integrated into the team. New Hire Experience Management : Ensure that new hires have a positive and engaging onboarding experience by providing a seamless, organized, and welcoming process. Gather feedback from new hires to continuously improve the onboarding process and address any pain points. Offboarding Experience: Strive to create a positive offboarding experience by offering support, answering questions, and providing guidance to employees during their Exit Ensure timely and accurate processing of all employee separations, including resignations, terminations, retirements, and other types of exits. Detective Controls Responsible for conducting detective controls for salary related data Ensure that all dual reviews are completed before the payroll run is executed for the month. Skills : Excellent Delivery management and organizational skills, with the ability to manage multiple priorities simultaneously. Strong Leadership Skills with experience in leading a team of 10-15 associates Strong communication skills, both verbal and written, with an ability to interact with various stakeholders. Ability to analyze data, identify trends, and develop actionable insights. Strong problem-solving and decision-making abilities. Qualifications: Education : Master’s degree in business administration, Human Resources. Experience : 12-15 years of experience in Employee Onboarding, with a focus on process improvement. Knowledge of HRIS, onboarding software, and HR tools Experience in shared service set up would be an added advantage Work Environment : Office-based - 4 days a week Hours : Full-time, with occasional flexibility for special on boarding projects Qualifications Master’s degree in business administration, Human Resources. 12-15 years of experience in Employee Onboarding, with a focus on process improvement. Show more Show less

Job Description Expert Knowledge of Financial Reporting , IND AS / IFRS is a must Working level experience in SAP is a required with strong analytical skills and attention to detail Conducts end to end tasks for the Month end closures. Supervises & provides support for Quarter end closure & Financial Year ( Applicable for India ) & also for Interim & Year end closure (IFRS Closing) Coordinates with Auditors & ensure no non compliances or major deviations occur during audit Checks for Process Weaknesses & Initiates CIP ( Continuous Improvement Program ) Communicates & provides key MIS data regularly with Divisions and Legal entities Controls and monitors quality performance of team with Key performance Indicators & Service level agreements with internal customers Ensure Optimization of service delivery by effective delegation of tasks to the team Promote a healthy work environment ensuring & manage Associate career development Promotes and Drives process standardization & automation Qualifications Chartered Accountant with 7+yrs of work experience is a preferred , CMA with relevant experience may be considered Additional Information Work Experience across external reporting in a manufacturing environment / Automotive industry is preferred . Big 4 experience will also be considered Show more Show less

Minimum 15 years of full-time education. 8 to 10 years of experience in SAP experience spanning implementation, migration, and support projects. Excellent verbal and written communication skills, including ability to effectively communicate with internal and external customers both in English language.(Knowledge of Hindi language is preferable) Ability to work independently and to carry out assignments to completion within prescribed timelines, and standard accepted practices. Mandatory/requires Skills : Experience working in the pre-sales in SAP landscape SAP SD Module knowledge at expert level Experience in AS-IS and TO-BE mapping, Business Requirement document preparation, Solutioning and Proposal preparation with Project schedule. Experience in leading the discussions with Business stakeholders Starting from AS-IS mapping to proposal submission Show more Show less

Roles & Responsibilities : About the Role We are seeking a Data Protection Expert to join our dynamic team. In this role, you will provide expert advice and support to solution-oriented departments and projects, ensuring data protection compliance across engineering projects, products, services, and enterprise IT systems. You will work closely with Security Managers and cross-border partners to align with global data protection standards, including Bosch’s internal privacy regulations. Key Responsibilities: Ensure compliance with data protection standards for the processing of personal data. Advise on data protection requirements during product development and solution design. Coordinate with Security Managers to define technical and organizational data protection measures. Guide teams on implementing Privacy by Design and Privacy by Default principles. Draft, review, and negotiate information security and data protection documents and agreements. Collaborate with international data protection teams to ensure Data Protection compliance with target market of business. Manage data protection aspects during the entire product lifecycle—from requirements analysis to deployment and end-of-life. Supplier assessment, vendor risk management and compliance checks for supplier scope. Support risk assessments, recommend mitigation measures, and participate in audits and quality gate (QG) reviews. Regularly update project master data and MIS reports for Data Protection compliance. Qualifications Educational qualification: Required Qualifications: Bachelor’s degree (BE/BTech) in Computer Science, Information Science, or a related field. ISO 27001 or ISO 27701 Lead Auditor certification. CIPP/A or CIPP/E or DCPLA certification. Strong knowledge of regional and international Data Protection regulations. Hands-on experience in implementing Privacy by Design and Privacy by Default concepts. Experience : 3 - 5 years Mandatory/requires Skills : Compliance and Data Protection expertise. Experience in Risk Assessment and Control Recommendation. Strong communication skills, both written and verbal. Preferred Skills : Proficiency in general MS Office tools. Usage of collaborative working tools

Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist · 2 to 3 years of experience in Generative AI solution development · Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making. · Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments. · Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents. · Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows. · Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to enhance automation and reasoning. · Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance. · Strong grasp of memory architectures, tool use, and action planning within AI agents. · Autonomy Score: Measures the degree of independence in decision-making. · Collaboration Efficiency: Evaluates the ability of agents to work together and share information. · Task Completion Rate: Tracks the percentage of tasks successfully executed by agents. · Response Time: Measures the latency in agent decision-making and execution. · Adaptability Index: Assesses how well agents adjust to dynamic changes in the environment. · Resource Utilization Efficiency: Evaluates computational and memory usage for optimization. · Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs. · Error Rate & Recovery Time: Tracks failures and the system’s ability to self-correct. · Knowledge Retention & Utilization: Measures how effectively agents recall and apply information. · Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc. · Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs. · Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA). · Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures. · Experience working with text-to-image models such as Stable Diffusion, DALL·E, and Midjourney. · Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems. · Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments. · Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs. · Expertise in Python, R, TensorFlow, Keras, and PyTorch. · Hands-on experience with NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications. · Proficiency in advanced statistical methods and transformer-based text processing. · Experience in reinforcement learning and planning techniques for autonomous agent behavior. Mandatory Skills: · Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. · Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails · Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. · Experience in cloud services like Azure, GCP and AWS · Multi-agent frameworks: AutoGen, LangGraph, LangChain, CrewAI · Large Language Models (LLMs): GPT, Educational qualification: BE,BTECH or PHD

Education and Work Experience Requirements: · 5 to 8 years of experience as Data Science Architect · 2 to 3 years of experience in Generative AI solution development · Proven track record and experience with with GenAI technologies o Open source LLMs like Llama, Gemma, Mixtral etc o Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc o Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..) o Understanding of SLMs such as Phi3,QWEN, BERT and Transformer architecture o Vector databases like Pinecone, Qdrant etc. · Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model · Expertise with the following scripting languages: o Python, R, Tensorflow, Keras, Pytorch o OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs · Design and implement end-to-end Generative AI solutions, ensuring seamless integration with enterprise applications and workflows. · Lead technical evaluations and POCs (Proof of Concepts) to assess new AI models, frameworks, and vector databases for RAG solutions. · Develop scalable indexing and retrieval strategies to optimize search and generation performance in large-scale AI systems. · Implement hybrid search techniques, including dense and sparse retrieval, for enhanced information retrieval accuracy. · Define and enforce architectural standards, coding best practices, and performance benchmarks for RAG-based applications. · Collaborate with business leaders to identify AI-driven opportunities and develop strategic roadmaps for AI product evolution. · Drive the adoption of domain-specific AI solutions by tailoring RAG architectures to industry-specific requirements. · Establish feedback loops and model monitoring mechanisms to ensure continuous improvement of AI-generated outputs. · Utilize MLOps best practices to automate model deployment, monitoring, and retraining pipelines for Generative AI solutions. · Optimize knowledge graphs and vector embeddings to enhance contextual awareness in Graph RAG implementations. · Develop strategies for handling long-context retrieval and efficient chunking mechanisms for better AI response quality. · Leverage fine-tuning and reinforcement learning with human feedback (RLHF) to improve generative AI model performance. · Explore and integrate federated learning techniques to enable privacy-preserving AI model training and inference. · Conduct AI ethics assessments and bias mitigation strategies to ensure responsible AI development and deployment. · Engage with open-source AI communities and contribute to research publications or technical blogs on RAG advancements. · Participate in technical panels, conferences, and industry events to showcase AI expertise and thought leadership. · Support sales and pre-sales teams by providing technical guidance, solution demonstrations, and AI-driven business value assessments. · Establish AI Centers of Excellence (CoE) within the organization to drive innovation, knowledge sharing, and AI capability building. · Ensure compliance with enterprise security policies, data governance regulations, and responsible AI guidelines. · Develop multi-modal AI capabilities that integrate NLP, Computer Vision, and Speech Recognition for advanced generative applications. · Prior experience working on Mobility, Manufacturing or Healthcare domain will be a plus. Mandatory Skills: · Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. · Strong understanding of LLMs, and asso Educational qualification: BE/BTech or MCA Experience : 10-15 years

Job Description Roles & Responsibilities : Define best practices for integrating AI/GenAI solutions within enterprise architecture Architect scalable and efficient AI models tailored for software engineering use cases Drive thought leadership by contributing to white papers, technical discussions, and innovation forums. Qualifications Educational qualification: Overall 15+ years of experience Deep expertise in AI/ML/NLP techniques Experience : Experience in integrating and deploying GenAI models for real-world applications, with hands-on in vector databases and AI knowledge management Expertise in AI orchestration tools like Langchain, Semantic Kernel, Haystack, and Llama Index Strong research acumen to drive innovation and to stay ahead of emerging AI trends Exposure to Enterprise Architecture / Digital Application Architecture is an added advantage Mandatory/requires Skills : Langchain, Semantic Kernel, Haystack, and Llama Index https://smrtr.io/rTcqx

Job Description Roles & Responsibilities : Bosch Software and Digital Solutions is a leading systems integrator and solution provider for technology led business transformation. It is the systems integration arm of Bosch Global and is headquartered in Bangalore. The Chief AI Officer (CAIO) will be responsible for developing and articulating a clear AI vision for SDS and overseeing, implementing and governing SDS’ AI strategy that aligns with business goals. The CAIO will also oversee the development of innovative AI and Gen AI solutions/offerings for further transforming SDS’s offerings portfolio and to support SDS customers with their AI journeys. The CAIO will lead Bosch SDS’s AI-first approach and align SDS’ portfolio offerings to the rapidly evolving needs of our customers. Key Responsibilities: 1. Strategic AI Vision and Roadmap · Develops and articulate a clear AI vision that aligns with SDS’s short, medium and long-term goals. · Creates an AI roadmap that outlines short-term and long-term initiatives. · Identifies vital areas where AI can drive business growth and efficiency. 2. AI Strategic Leadership · Develop and drive SDS’ AI strategy to align with organization's broader transformation roadmap and business goals. · Define overall AI GTM and growth strategy in conjunction with business leaders. 3. AI Product and Solution Development · Analyze emerging trends to create AI products/accelerators, frameworks and capabilities in key areas such as predictive analytics, NLP, Computer vision, generative AI, agentic AI, and automation. · Define guidelines for AI model development for customers, ensuring ethical, transparent, and responsible AI Use · Conceptualize the blueprint of asset to-be developed and collaborate with technical team to execute and implement the same. · Co-lead initiatives like hackathons, workshops, and other events to encourage innovation and cross sharing of ideas. 4. AI Strategy Consulting and Advisory · Lead customer discussions to understand their existing problem statements and business challenges and assess their existing AI maturity. · Define target AI Reference architecture, use case discovery, business case and implementation approach for AI initiatives. · Define consulting approach and frameworks and develop AI Consulting proposals, bid defense, and help in acquisition. · Manage/Lead AI consulting engagement to define AI strategy, roadmap, and execution plans aligned with business objectives. 5. AI Implementation · Oversee the implementation of AI projects for customers, which includes Design and deployment of AI-powered solutions, including machine learning (ML), generative AI, computer vision, NLP, and generative AI solutions for customers. · Identify emerging AI trends and technologies to create competitive, scalable offerings. · Leverage the existing code base/solutions to ideate and create re-usable assets/IPs. 6. AI Team leadership and Talent Development · Build and Lead cross-functional AI teams (Data Scientists, ML Engineers, AI researchers, Gen AI developers, Product Managers, etc.) · Foster a culture of continuous learning, innovation, and collaboration. · Establish AI training and upskilling programs for employees. Qualifications 1. Qualifications & Experience: · Bachelor’s degree in computer science or engineering. Good to have master’s degree/Post-graduate in IT, AI, Data Science, or related fields. · 15+ years of experience in AI, data science, or machine learning, with a proven track record in leadership roles · Strong knowledge of AI frameworks, Gen AI, cloud AI services, and big data technologies · Good understanding of emerging technologies like Gen AI, Agentic AI etc. · Experience in leading mid and large-scale AI transformations across domains such as Manufacturing, healthcare, retail, etc. · Strong knowledge of AI ethics, governance, and regulatory considerations · Excellent communication, leadership, and stakeholder management skills 2. Key Competencies and Skills: · Deep understanding of AI technologies, including NLP, Computer Vision, and Generative AI · Strategic thinking and strong skills across leadership, collaboration and stakeholder management · Ability to drive cross-functional teams towards AI innovation, deal closures and successful project delivery. Additional Information KPIs and Success Criterion: · AI-driven revenue generation and cost optimization · Growth of AI portfolio in Bosch SDS, along with opportunity pipeline and AI Adoption across customers · Growth of AI team, employee engagement and retention · AI project delivery success rates and business outcomes/customer feedback https://smrtr.io/rTdTR

Cloud Networking and Security Specialist no.123 industrial layout hosur road koramangala,, bengaluru , India Full-time Legal Entity: Bosch Global Software Technologies Private Limited Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Roles & Responsibilities: Implement security architectures for cloud/hybrid systemsThoroughly document implementations, via technical documentation and run-books for customersProvide input and feedback on security architectures Possess a firm understanding of the offerings and capabilities within Amazon Web Services (AWS), GCP, and Microsoft Azure platforms Represent Security Platform in development and implementation of the overall global cloud enterprise architecture Customer facing role – Walk thru to white boarding of architecture and implementation planning to stakeholders Required skills: 5+ Years experience in a network security in cloud related domain and technologies 3+ Years experience in network security architecture across hybrid multi cloud environment 2+ Years of Hands-On experience in the cloud platforms such as AWS, Azure or Google cloud Strong understanding of cloud architecture principles, microservices, and containerization Experience in architecting public, private and hybrid cloud-based solutions Design Infra architecture with high availability, reliability, scalability, cost efficient and Robust solution across Dev, QA and Prod environments Strong understanding across Azure and AWS infrastructure components (Compute, Network, Storage, Database, Analytics, Application services and Serverless computing) Familiarity with security frameworks CSA, NIST, CIS, PCI DSS, etc. Technical skills to identify and assess cloud security vulnerabilities and risksBuild in-house security frameworks to establish a state-of-the-art security culture in hybrid multi cloud setup Demonstrated knowledge of multi-cloud platforms (AWS, GCP, Azure, OCI, etc.) to be able to identify and prioritize potential security challenges Knowledge with native cloud security services Azure Defender, AWS Trusted Advisor, Amazon Inspector/Google Cloud Security Scanner, AWS Configuration Conduct security design/infrastructure reviews, and security architecture reviews. Understanding of microservices architecture, CI/CD pipelines, containers, and experience in implementing security measures to safeguard containerized applications throughout the development and deployment processes Automate infrastructure security and develop/implement security automation to solve manual effort on a day-to-day basis Working knowledge of common and industry standard cloud-native/cloud-friendly authentication mechanisms (OAuth, OpenID, etc). Experience with deployment orchestration, automation, and security configuration management (Jenkins, Puppet, Chef, Cloudformation, Terraform, Ansible) preferred. Experience with service-oriented architecture for cloud-based services. Experience working with cloud security and governance tools, cloud access security brokers (CASBs), and server virtualization technologies. Ability to work independently with minimal direction; self-starter/self-motivated Ability clearly explain identified risks and recommended remediation Ability to clearly communicate technical concepts to all audiences Technical writing experience Qualifications Should be BE, Btech, ME, M-Tech, MCA, M.Sc, Additional Information 8+ YEARS I'm interested https://smrtr.io/rnhhh

Role: SAP Data Migration – Manager Experience: 10 - 12 Years Job Description · 10+ years of experience in SAP Data Migration with Minimum Migration Management experience of 2 migration S/4 HANA rollout projects · Good Hands on SYNITI ADMM, at least 2 full-cycle migration preferred. · Good experience in migration management including planning, tracking, reporting, technical migration consulting, migration cutover planning etc. · Experience of migration with SAP BODS (past experience of at least 3 projects using SAP BODS) · Good SAP process knowledge required for data migration to work with cross-functional teams in gathering migration requirements and migration rules · Deep knowledge in understanding the business objects requirements, dependencies, and technical knowledge (focus onmigration cockpit and BODS) to coordinate and support the technical migration team during the technical design and release · Should be proficient in Business Analysis, Business Knowledge & Technical Solution Design · Prior customer-facing roles to ensure client management is mandatory · Exhibit effective communication, presentation, and people skills along with demonstrated experience working with cross-functional teams, including teams working on interfaces. · Should be a good collaborator, leader to drive the migration team (servant leadership mindset) · Additional migration tool knowledge is an added advantage Roles and Responsibilities · Complete coordination of migration project starting from preparation till go-live and stabilization · Drive the Migration concept and understand the high-level process of data migration, objects and dependencies and owning Migration cutover planning · Process overview desirable · Provide technical migration solutions and guidance to technical team where ever necessary · Close engagement with IT experts / Functional consultants, Process experts in gathering migration requirement · Close collaboration, support and value addition to Central Migration Manager as applicable · Working closely between the technical migration team and cross functional team during development phase, technical unit testing · Preparation of migration planning and cutover during each phase · Planning, tracking reporting of status to project management periodically. · Complete responsibility and ownership of technical deliverables · Single point of contact for technical data migration within the project Qualifications Educational qualification: B.E, B.Tech, or any other degree Experience : 10+ years Mandatory/requires Skills : COCKPIT SYNITI ADMM Preferred Skills : BODS Additional Information SYNITI ADMM and COCKPIT experience mandatory

Roles & Responsibilities : Power Up Your Career: Shape Global Marketing Strategies:?Contribute to the development of cutting-edge, integrated marketing programs designed to achieve ambitious business objectives across Bosch SDS's global markets. Influence the future of a renowned global brand and see your work make a tangible impact. Orchestrate Brand Campaigns:?Lead the planning and execution of impactful brand campaigns that elevate Bosch's image and reinforce its position as a leader in technology. Manage all aspects of the campaign lifecycle, from strategy development to performance measurement. Fuel the Sales Engine:?Plan and execute demand generation activities that deliver high-quality leads to the sales pipeline. Contribute directly to Bosch SDS's growth by generating tangible business results. Enhance deal conversion rates:?Collaborate with sales and business teams to nurture leads and maximize conversion rates. Create integrated campaign plans that accelerate the lead cycle and establish Bosch SDS as the preferred technology partner. Collaborate with World-Class Teams:?Partner with high-performing business units, delivery, and sales teams to craft localized campaigns that resonate with diverse target markets. Leverage the strength of a collaborative environment to drive brand awareness and market leadership. Uncover Buyer Insights:?Analyze market trends and buyer journeys to provide actionable insights that inform strategic marketing planning. Contribute to Bosch's understanding of the evolving market dynamics and help shape the future of the Bosch SDS brand experience. Qualifications Educational qualification: We're looking for a driven marketing professional with 5-7 years of experience who is passionate about marketing and technology. A Master's degree (preferably in Marketing) combined with a proven track record in developing and executing successful marketing campaigns is essential Experience : IT services marketing background helps definitely… Mandatory/requires Skills : good knowledge on digital marketing and operations Preferred Skills : Smart, capable, can take people along Additional Information Desired Skills: Experience working with global markets Strong understanding of B2B marketing

Roles & Responsibilities : Data Quality, Modelling & Design Thinking Lead, mentor, and inspire a team of data analysts and engineers, fostering a collaborative, innovative, and high-performance culture. Oversee the design, implementation, and continuous improvement of data quality models using SAP MDG, Azure, and Power Platform technologies. Guide the team to develop appropriate conceptual data models foundational to physical data model creation. Engage closely with technology and business stakeholders to gather requirements, identify improvement areas, and clearly articulate the business value of data quality use cases including cleansing, validation, and enrichment. Demonstrate deep understanding of the Data Quality value chain—from Critical Data Elements (CDEs) to Data Quality KPIs—and how it integrates with overarching Data Governance frameworks. Lead and manage within this context effectively. Facilitate workshops and training sessions to promote data quality awareness, best practices, and a culture of continuous improvement across the organization. Conduct performance evaluations, provide coaching, and identify opportunities for the professional development of team members. Proactively identify and escalate data quality risks or hidden issues to the Data Quality Manager for resolution. Dashboarding & Workflow Management Conceptualize, design, and deploy robust data quality dashboards using Power BI to monitor and visualize data health effectively. Develop escalation paths and workflows with alerts that notify process and data owners of unresolved data quality issues, ensuring timely remediation. Collaborate with IT and analytics teams to incorporate cutting-edge technologies such as AI, Machine Learning, and cognitive science to enhance data quality monitoring and automation. Data Quality Improvement Plans Partner with business functions and projects to develop and embed sustainable data quality improvement plans, fostering business ownership and accountability. Define and track measurable targets for data quality maturity, actively monitoring progress and intervening when improvements fall short of expectations. Support data clean-up initiatives that improve the accuracy and reliability of existing data landscapes. Project Delivery & Oversight Lead and coordinate Data Quality Analysts in executing data profiling, conversion criteria establishment, and resolution of complex technical and business data quality issues. Own the detailed project delivery plan for multiple concurrent data quality programs, ensuring clarity on roles, responsibilities, and timelines using effective RACI frameworks. Drive cross-functional alignment and successful delivery of data quality objectives within large-scale enterprise programs. Qualifications Educational qualification: B.E Experience : 11 to 15 years of comprehensive experience in Data Management, preferably within the Oil & Gas or Financial Services/Banking industries. Proven expertise in working with complex data models and structures, with strong capability to deeply analyze, design, and optimize these models for enhanced data quality and usability. Extensive experience in Data Quality Management, including governance practices, Data Quality Issue (DQI) management—covering root cause analysis, remediation, and solution identification. Familiarity with facilitating governance forums including preparation of papers, ensuring quorum, and publishing meeting minutes. In-depth knowledge of Critical Data Element (CDE) identification and Data Lineage, including identifying authoritative data sources. Strong understanding of relevant KPIs and data quality measurement frameworks. Experience of having worked with senior stakeholders across multiple data domains, business units, Chief Data Office (CDO), and technology teams. Comfortable operating within global, multi-time zone environments. Ability to work effectively in dynamic, fast-changing environments, with strong prioritization skills and the ability to work independently with minimal supervision.

Roles & Responsibilities : · Coordinate with Data Owners to identify and define critical SAP master data elements, including Supplier, Finance, and Bank master data. · Develop and maintain a comprehensive, business-facing data glossary and data catalog documenting SAP master data definitions, lineage, and usage. · Define, implement, and enforce a robust data governance framework, including policies, standards, and processes to ensure data quality, compliance, and management for SAP Finance, Supplier, and Customer master data. Conduct regular data quality assessments and drive corrective actions to resolve data integrity issues across master data domains. Collaborate with cross-functional teams to embed data governance best practices into SAP business processes and workflows. Manage data cataloging and lineage to maintain transparency of data assets, their origins, and transformation within the SAP environment. Facilitate governance forums, data domain councils, and change advisory boards to review data issues, update standards, and promote continuous improvements. Prepare detailed data documentation, including data models, process flows, governance policies, and stewardship responsibilities. Work closely with IT, data management, and business units to implement effective data governance tools and practices. Monitor governance activities, track key metrics, and report progress to senior management. Lead training sessions and awareness programs to cultivate a strong data governance culture within the organization. Maintain deep knowledge of SAP and other ERP master data structures (Vendor, Customer, Cost Center, Profit Center, GL Accounts), ensuring alignment with data policies and privacy requirements. Qualifications Educational qualification: B.E Experience : · 12+ years of experience in data governance, SAP master data management, and data quality, preferably in oil & gas or financial services sectors. Mandatory/requires Skills : · Proven expertise in implementing data governance frameworks for both transactional and master data within SAP environments. · In-depth knowledge of data governance concepts including data definitions, catalogs, ownership, lineage, policies, controls, and monitoring. · Strong understanding of SAP ERP data structures and peripheral systems, with ability to assess upstream and downstream impacts of master data changes. · Experience driving large-scale, multi-year transformational data initiatives across multiple geographies and data domains. · Ability to influence senior stakeholders and business partners to gather requirements and champion SAP Master Data Governance (MDG) initiatives. · Strong knowledge on SAP peripheral systems and good understanding of Upstream and downstream impact of master Data · Strong understanding of Master data attributes and its impact · Strong analytical and problem-solving abilities.

Product Segment: SAP Service We are looking for a dynamic leader to head our delivery in SAP Services in Bengaluru, managing all aspects of Project deliverables, Customer and Stakeholders management, P&L and Operations. Reporting to the Practice head, you will be: • Responsible for and accountable for defining, directing, monitoring, and managing all service delivery activity and support functions for the SAP Business Unit needs • Leverage technology (e.g. AI) to optimize delivery and to generate new ideas / assets • Overseeing the management of operations, deliverables to have better efficacy. • Driving the cost efficiency of the center, maximizing the Business Units throughput & productivity and focus on the inclusive culture of the company. • Deliver consistently high customer satisfaction, measured through formal and informal feedback. • Manage and mitigate risks across Technical and Operational processes and customer servicing functions. • Drive business growth through partnership with Sales Team to execute solutions for customers globally. • Enhance the workplace through leadership, employee engagement and personnel development. • Work with business partners to accurately forecast and support business growth strategies. • Work with Delivery Manager / Project Managers closely to adopt customer friendly strategies to execute timeliness in project deliverables. • Ability to prioritize company objectives and meet aggressive deadlines. Eligibility: • A minimum of 20-25 years of Experience in a similar role in IT Services / Software Industry. MBA in General Management would be add-on advantage • The ideal candidate should have done his engineering from a premium institute Experience: • Experience in establishing and maturing a delivery organization focusing on SAP services • 10-12 years of experience in managing all aspects (Delivery & operations) of an ODC • Ability to clearly craft, communicates, measure, and manages expectations of stakeholders. • Demonstrated record of success in a goal-oriented, highly accountable, agile environment Qualifications • Embracing AI first thinking, generate ideas and implement for internal efficiency as well as benefits to customer Bachelors in engineering & Masters in general management would be an advantage Educational qualification: Bachelors in engineering & Masters in general management would be an advantage Experience : 20+ years

About the Company Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. About the Role We are seeking a highly skilled and experienced Java AWS React Developer to join our dynamic development team. The ideal candidate will have a strong background in Java backend development, cloud-native application design using AWS, and modern front-end development with React.js. You will be responsible for designing, developing, and maintaining scalable web applications that deliver high performance and reliability. Responsibilities Design, develop, and maintain scalable and secure backend services using Java (Spring Boot). Build responsive and dynamic user interfaces using React.js. Develop and deploy cloud-native applications on AWS using services like Lambda, API Gateway, S3, DynamoDB, ECS, etc. Collaborate with cross-functional teams including product managers, designers, and QA engineers. Write clean, maintainable, and efficient code following best practices. Participate in code reviews, unit testing, and integration testing. Troubleshoot and resolve technical issues across the stack. Ensure application performance, uptime, and scale, maintaining high standards of code quality and thoughtful design. Qualifications 5–8 years of hands-on experience in software development. Strong proficiency in Java, especially with Spring Boot. Solid experience with React.js, JavaScript (ES6+), HTML5, and CSS3. Proficiency in AWS services (EC2, Lambda, S3, RDS, DynamoDB, CloudFormation, etc.). Experience with RESTful APIs and microservices architecture. Familiarity with CI/CD pipelines and DevOps practices. Strong understanding of software engineering principles, design patterns, and best practices. Excellent problem-solving and communication skills. Preferred Skills AWS Certification (e.g., AWS Certified Developer or Solutions Architect). Experience with containerization tools like Docker and orchestration with Kubernetes. Familiarity with Agile/Scrum methodologies. Knowledge of security best practices in cloud and web development. Qualifications BE/B.Tech/MCA

Primarily responsibility: Review General Ledger Accounting including maintenance and control over chart of accounts Ensure fiscal reviews monthly with the Record to report Head, Corporate Financial controller & Monthly balance sheet reviews Review and Finalization of quarterly and annual Statutory Financials as per IND AS & IFRS Participation in special projects relating to Finance control & process improvements. Responsible for steering the Fixed assets COE for the region including accounting, audit etc Responsible for harmonization of policies, processes across the private entities. ensure the policies are followed across by other stakeholders Coordinates with Auditors & ensure no non compliances or major deviations occur during audit Checks for Process Weaknesses & Initiates Continuous Improvement Program with the legal entity accountants Works as a single point of contact for the corporate / plant controllers Controls and monitors quality performance of team with Key performance Indicators & Service level agreements with internal customers Promotes and Drives process standardization & automation Mandatory qualification: CA Experience required: Minimum 15 Years’ experience in medium or large manufacturing Industry in accounting functions. Knowledge on Companies Act 2013, Ind AS, IFRS, SEBI Regulations is preferred Must have handled Annual Audit as per IFRS / Ind AS. Knowledge of managing listed company financial reporting would be preferred Exposure of SAP – FI system is must. Basic understanding of new age technologies like RPA, , Power BI will be an added advantage