Overview of the role: We are looking for a dynamic office admin for our Business Hub in Bangalore who is responsible for day to day operation in following topics and works closely with location head and other stakeholder. Security Housekeeping Maintenance Administration And other adhoc support topics Key Responsibilities: Security Ensure availability (24 X 7) , stability and competence of Guards. 2.Handling day to day deviations and reporting the same. 3.Ensure implementation of applicable group security procedures. 4.Ensure Implementation of local security rules and processes (i.e Create/manage any templates, SOP, best practices related to security) 5.Ensure correctness of various records being maintained by security guards (employee, visitor and material management). 6. Monitoring and maintenance of critical Isolated areas (or rooms). 7. Ensure security guards are being trained with installed fire detection system. 8. Ensure Security guards are trained to operate available Firefighting Equipment and how to respond. 9. Ensure readiness and upkeep of available firefighting equipment and installed devices. 10. Ensure overall safety of employees and staff in the premises. 11. Ensure 24X7 monitoring of CCTV footage by security guards and reporting of abnormal situations . 12. Establish parking appropriate parking management process. 13. Work closely with building security where needed. 14. Provide basic training to security guards related to applicable procedures. Housekeeping Check the premises regularly to ensure housekeeping Supervise the janitorial staff and other workers Carry out inspections of the facility Create/manage any templates, checklist, SOP etc Ensure overall cleanliness of premises, cafeteria, restroom, server room, electrical room, meeting rooms, cabins etc Support when visitors are around work with SPOC from agency regularly on resolving staff issue work with building housekeeping when needed Maintenance Overseeing and coordinating routine maintenance tasks, repairs, and inspections Maintaining accurate records of maintenance activities, repairs, and inspections. Preparing reports on facility performance and issues. Create and manager templates, SOP, best practices for tech maintenance staff work with SPOC from agency on the maintenance staffing topics Ensuring the building and its systems (HVAC, plumbing, electrical, etc.) are functioning correctly and efficiently. Monitoring and optimizing energy usage to reduce costs and support sustainability efforts. Administration Supporting in travel. Accommodation arrangements for the visitors supporting in courier topics manager store room [ receivables, outflow, inventory etc] Support overall admin topics [ e.g. external printing, vendors relations etc] Housekeeping machine maintenance, new parts Purchase Request, AMC Uniform & Other facility related material distribution co-ordination with Sonepat Plant Office supplies, stationaries etc Pantry pantry goods purchasing monthly pantry bill checking purchasing for monthly events Coordination and communication Work closely with team in Sonepat and center head. Hotel & Cab booking for visitors, Invoice check & process for e sign. Uniform & Other facility related material distribution co-ordination with Sonepat Plant Experience About 5+ years of experience in similar roles Education Graduate with diploma or certification in facility maintenance

As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Create and execute a global Data Science/Data Architecture strategy based on the overall CT Technology strategy together with the CFO IT Data Science team. Portfolio Management - Define the Process of Portfolio and bring it into execution Ideation Facilitator: Explore with Business Areas to keep the Use case pipeline filled continuously Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Mentor and train junior data scientists to build a strong and capable team. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and

Key Responsibilities: Design, code, test to meet requirements Apply latest software design methodologies - design patterns, static/dynamical code analysis, ensuring pragmatic, clean and sustainable code implementations Participate in the project from conception to finished product to analyze technical risk and provide mitigation strategies and solution options Staying abreast of developments in areas of backend app development technologies Code and Test to meet requirements as per the design and architecture laid out Produce high quality code. Participate in all agile ceremonies Support build and deployment Responsible for unit testing Adhere to all development guidelines and best practices Requirements: Technical Skills Strong experience in Node.js as the backend technology. Experience in Java and Python is a plus Strong experience in working with Microservice Architecture Good to know Front end technologies like Angular is a plus. Good experience in working with AWS cloud platform Good experience CI/CD tools and methodologies is a plus Experience in using various relevant tools for Unit Testing, Code quality etc Experience 3+ yrs of experience overall 1+ years in AWS services 1+ years in CICd topics using Jenkins, JFROG or similar Knowledge experience with Web Technologies like Angular is

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Collaborate with stakeholders to identify data and AI opportunities, translates business needs into actionable data requirements and success metrics, and drives prioritization of use cases based on feasibility and impact . Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Mentor and train junior data scientists to build a strong and capable team. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Extensive experience in Data Science, AI, and Machine Learning, with a solid understanding of algorithms, predictive models, deep learning, and natural language processing (NLP). Strong technical proficiency in programming languages and tools (Python, R, TensorFlow, PyTorch, etc.) More than 8 years of dedicated experience in various data science-related roles in the industry. Experience in agile project management with internal and external partners. Strong project management skills with the ability to manage multiple projects simultaneously. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Collaborates with stakeholders to identify data and AI opportunities, translates business needs into actionable data requirements and success metrics, and drives prioritization of use cases based on feasibility and impact . Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Extensive experience in Data Science, AI, and Machine Learning, with a solid understanding of algorithms, predictive models, deep learning, and natural language processing (NLP). Strong technical proficiency in programming languages and tools (Python, R, TensorFlow, PyTorch, etc.) More than 5 years of dedicated experience in various data science-related roles in the industry. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

Key Responsibilities: Code and Test to meet requirements as per the design and architecture laid out Produce high quality code. Participate in all agile ceremonies Support build and deployment Contribute to unit testing/automation Adhere to all development guidelines and best practices Requirements: Experience in embedded software development using C/C++ for embedded Linux applications. Experience with real-time operating systems (RTOS) and bare-metal programming. Skills in testing and continuous integration (hardware-in-the-loop) for embedded devices Understanding of CI/CD tools and methodologies is a plus Experience in using various relevant tools for Unit Testing, Code quality etc Understanding of software development methodologies, such as Agile and Scrum. Good experience in handling camera modules. Experience Around 6 to 9 yrs of experience overall 5+ years in embedded development 3+ years in C++ and Embedded Linux topics 3+ years in Agile delivery 2+ years in Camera BE in engineering with focus on computer science / software engineering MCA with professional experience Other relevant education streams with strong tech experiences can be considered