439 Icc Jobs - Page 9

G D Goenka International School, Rohtak, is a premier institution dedicated to excellence in academics and holistic development. With world-class facilities and a commitment to sports and extracurricular activities, we aim to shape future champions both in classrooms and on the field. Position - Cricket Coach Role & Responsibilities Plan and conduct cricket training sessions for students from primary to senior school Identify and nurture individual student talent and team potential Organize and accompany teams for inter-school matches and tournaments Ensure safety and discipline during training and matches Maintain records of student performance and development Coordinate with the school sports department and PE staff for event planning Required Skills & Qualifications Graduate with specialization in Physical Education or relevant certification in Cricket Coaching (NIS/ICC/BCCI preferred) Prior experience as a coach in school or sports academy Good communication and interpersonal skills Passion for mentoring young talent and promoting sportsmanship Facilities: Child Education Free Food provided Accommodation (Sharing) provided by school laundry facility Saloon facility Electricity Power backup Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Food provided Schedule: Day shift Work Location: In person

Overview about Ripik.AI: Ripik.ai is a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience in McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders. Ripik.ai builds patented full stack software for automation of decision making on the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminium, cement, pharma, paints, consumer goods and others. It is one of India’s very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM. Roles & Responsibilities We are seeking a highly motivated Automation and Machine Vision Engineer to join our Industrial AI and Automation team. The ideal candidate will have hands-on experience in developing and deploying computer vision solutions for manufacturing, quality control, and robotic inspection. You will be responsible for designing AI-based vision systems using cameras, deep learning models, and edge computing platforms. Develop and deploy machine vision applications using industrial cameras (e.g., Basler, FLIR). Design AI-based inspection systems for detecting defects such as scratches, dents, mislabels, and missing components. Build and train deep learning models using CNN, YOLO, RCNN for object detection, OCR, classification, and segmentation. Integrate vision systems into automation workflows, PLCs, or robotic arms using standard protocols. Work with image acquisition pipelines, camera calibration, lighting setup, and industrial communication standards. Collaborate with software, automation, and mechanical teams to build end-to-end inspection systems. Optimize model performance on edge devices (e.g., NVIDIA Jetson, Raspberry Pi, etc.). Perform on-site testing, calibration, and commissioning at industrial client locations. Required Skills, Competencies & Experience: B.E./B.Tech in Instrumentation, Electronics, Mechatronics, Computer Science, or related field. 2–5 years of relevant experience in machine vision, automation, or AI-based quality control systems. Strong problem-solving skills and ability to work independently in R&D or client-facing roles. Preferred Qualification: Strong knowledge of OpenCV, Python, TensorFlow/PyTorch, and image processing. Experience with YOLO, Faster-RCNN, SSD or other real-time object detection models. Hands-on with industrial camera systems (Basler, Hikvision, Cognex, etc.). Familiarity with edge AI platforms like NVIDIA Jetson Nano/Xavier. Understanding industrial automation systems, SCADA/PLC integration. Experience with machine vision software (e.g., Halcon, LabVIEW Vision, MVTec) is preferred. Familiarity with SCADA, Historian systems, or MES integration. Exposure to virtualization, server-client architecture, or redundant systems. Knowledge of video analytics, CCTV integration, and industrial automation security. Physical Requirements: Ability to travel to project sites and conduct field inspections. Comfortable working in hazardous industrial environments (oil refineries, chemical plants, etc.) What can you expect? Ability to shape the future of manufacturing by leveraging best-in-class AI and software; we are a unique organization with niche skill set that you would also develop while working with us World class work culture, coaching and development Mentoring from highly experienced leadership from world class companies. International Exposure Work Location – Noida (Work from Office) Job Type: Full-time Pay: ₹700,000.00 - ₹900,000.00 per year Benefits: Food provided Health insurance Provident Fund Schedule: Day shift Work Location: In person

About Quidich Innovation Labs is a global company headquartered in Mumbai, India that pioneers in customized technology solutions for Sports Broadcast. From the outset, we have believed in the power of the story that sport tells as a tool to bring people together; and that this story best reaches fans, through the way it is broadcast. Building on this thinking, we have created various technology tools over the past few years and deployed them at tournaments such as the Indian Premier League, ICC Men’s T20 World Cup, ICC Women’s World Cup, and Men's FIH Hockey World Cup, to name a few. Role We are looking for a Sr. Brand Marketing Associate to execute high-impact campaigns and strengthen brand positioning. The ideal candidate has a sharp eye for detail, a deep understanding of brand fundamentals, and the ability to translate marketing plans into engaging initiatives. You will work closely with content, design, product & tech, and business teams . If you excel in a fast-paced environment and can execute marketing strategies with precision, we’d love to hear from you! Responsibilities Executing Brand Strategies: Implementing brand marketing initiatives, ensuring alignment with overall business goals and positioning Managing Campaign Rollouts: Planning, executing, and optimizing multi-channel marketing campaigns across digital, social media, and offline platforms Content Development & Deployment: Creating and managing content for ads, social media, email marketing, and website updates to maintain brand consistency Conducting Market Research: Gathering insights on audience behaviour, industry trends, and competitors to inform marketing tactics and messaging Coordinating Partnerships and Activations: Executing collaborations with influencers/ KOLs, media partners, and event organizers to enhance brand visibility Tracking and Reporting Performance: Monitoring marketing metrics, analyze campaign effectiveness, and adjust strategies based on data-driven insights Cross-team Execution & Support: Working with internal teams (design, business, product) to ensure smooth execution of marketing initiatives and brand consistency Required Qualifications, Skills and Competencies 2-3 years of relevant experience in brand marketing, campaign execution, or a related field Hands-on experience in executing brand campaigns across digital, social, and offline channels Strong understanding of brand storytelling and the ability to translate brand values into compelling marketing assets Experience in content planning and execution for brand-led initiatives, ensuring consistency across all touchpoints Proven ability to manage multiple projects with tight deadlines while maintaining high-quality output Strong analytical skills to track campaign performance and optimize strategies based on data insights Experience with marketing tools and platforms , including CRM systems, social media management, and analytics tools (e.g., Google Analytics, HubSpot, Hootsuite) Ability to collaborate with cross-functional teams , including design, product, and business, to align brand efforts with business objectives Strong communication and presentation skills to effectively convey marketing strategies and results to stakeholders A passion for brand-building, consumer insights, and staying ahead of industry trends Location : Mumbai Reporting To : Brand Lead Joining Date : Immediate to 30 Days Interested candidates, please send your resumes to careers@quidich.com

We are looking for Manager – Statutory Compliance for a Global Pharma MNC in Mumbai Position: Manager –Statutory Compliance (Corporate role) Qualification: MBA in HR or Diploma in Labour Law. Experience: 5 to 10 years in Admin and statutory compliance role Location: Mumbai About the Role We are seeking an experienced and detail-oriented professional to lead our administration and statutory compliance functions. This pivotal role ensures full compliance with labour laws, efficient facility and vendor management, seamless team operations, and a safe, well-maintained workplace environment — all while supporting a positive employee experience. Key Responsibilities Statutory Compliance Oversee timely compliance with PF, ESI, LWF, Professional Tax, and all applicable labour regulations. Coordinate with statutory consultants for filings, audits, licenses, and employee claims. Lead awareness initiatives for employees on statutory benefits and compliance updates. Manage the POSH framework: training, ICC coordination, and documentation. Monitor and assess statutory consultants’ performance and ensure contract renewals. Administration & Facility Management Ensure legal and regulatory compliance in health, safety, and security standards. Oversee operations related to housekeeping, cafeteria, vendor contracts, and helpdesk services. Manage facility needs across the head office, zonal offices, and warehouses. Ensure effective cost control, inventory management, and proper use of company assets. Team Leadership Define team roles and responsibilities, monitor performance, and provide guidance and support. Identify skill gaps and recommend training for continuous team development. Employee Engagement & HR Support Oversee engagement activities aligned with the company’s culture and values. Support initiatives related to Great Place to Work surveys and follow-up actions. Sustainability & Governance Ensure operational alignment with Environmental, Social, and Governance (ESG) principles, including workplace safety, ethical practices, and resource efficiency. Collaboration & Culture Maintain strong working relationships with internal departments and external partners. Promote a culture of integrity, professionalism, and continuous improvement. Who We’re Looking For Education & Experience Graduate with a Postgraduate Degree or MBA in HR/Business Administration and a Diploma in Labour Law. 5–7 years of leadership experience in administration and labour law compliance. Skills & Attributes Strong understanding of Indian labour laws and statutory requirements. Excellent communication, organizational, and analytical skills. Ability to lead teams, manage vendors, and drive cross-functional collaboration. High level of discretion, professionalism, and integrity. Comfortable using digital tools and adapting to process improvements. Relevant candidates can share their updated resume at pooja.j@domniclewis.com

Overview about Ripik.AI: Ripik.ai is a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience in McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders. Ripik.ai builds patented full stack software for automation of decision making on the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminium, cement, pharma, paints, consumer goods and others. It is one of world’s very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM. Roles & Responsibilities: We are seeking a highly motivated Automation and Machine Vision Engineer to join our Industrial AI and Automation team. The ideal candidate will have hands-on experience in developing and deploying computer vision solutions for manufacturing, quality control, and robotic inspection. You will be responsible for designing AI-based vision systems using cameras, deep learning models, and edge computing platforms. Develop and deploy machine vision applications using industrial cameras (e.g., Basler, FLIR). Design AI-based inspection systems for detecting defects such as scratches, dents, mislabels, and missing components. Build and train deep learning models using CNN, YOLO, RCNN for object detection, OCR, classification, and segmentation. Integrate vision systems into automation workflows, PLCs, or robotic arms using standard protocols. Work with image acquisition pipelines, camera calibration, lighting setup, and industrial communication standards. Collaborate with software, automation, and mechanical teams to build end-to-end inspection systems. Optimize model performance on edge devices (e.g., NVIDIA Jetson, Raspberry Pi, etc.). Perform on-site testing, calibration, and commissioning at industrial client locations. Required Skills, Competencies & Experience: B.E./B.Tech in Instrumentation, Electronics, Mechatronics, Computer Science, or related field. 2–5 years of relevant experience in machine vision, automation, or AI-based quality control systems. Strong problem-solving skills and ability to work independently in R&D or client-facing roles. Preferred Qualification: Strong knowledge of OpenCV, Python, TensorFlow/PyTorch, and image processing. Experience with YOLO, Faster-RCNN, SSD or other real-time object detection models. Hands-on with industrial camera systems (Basler, Hikvision, Cognex, etc.). Familiarity with edge AI platforms like NVIDIA Jetson Nano/Xavier. Understanding industrial automation systems, SCADA/PLC integration. Experience with machine vision software (e.g., Halcon, LabVIEW Vision, MVTec) is preferred. Familiarity with SCADA, Historian systems, or MES integration. Exposure to virtualization, server-client architecture, or redundant systems. Knowledge of video analytics, CCTV integration, and industrial automation security. Physical Requirements: Ability to travel to project sites and conduct field inspections. Comfortable working in hazardous industrial environments (oil refineries, chemical plants, etc.) What can you expect? Ability to shape the future of manufacturing by leveraging best-in-class AI and software; we are a unique organization with niche skill set that you would also develop while working with us World class work culture, coaching and development Mentoring from highly experienced leadership from world class companies (refer to Ripik.AI website for details) Location – Noida (Work from Office)

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

What is Contentstack? Contentstack is on a mission to deliver the world's best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today's crowded digital markets and gain their competitive edge. Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code. Learn more at www.contentstack.com. Who Are We? At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let's go! What Are We Looking For? Contentstack is looking for a skilled Senior Software Engineer to help develop and enhance our next-gen Media Asset Management (MAM) platform. This role centers on advanced video and image processing, AI-driven metadata features, real-time collaborative editing, and system integrations. Key Responsibilities: Video Processing & Streaming Build automated transcoding pipelines and proxy generation. Implement adaptive bitrate streaming (HLS, DASH). Integrate AI features: transcription, captions, scene detection, interactive elements. Ensure seamless CDN integration and system interoperability. Image Processing & Editing Automate image conversions and thumbnail generation. Develop in-platform editing tools (crop, resize, filters, retouching). Implement advanced features: non-destructive editing, AI enhancements, ICC color management, vector integration, and parametric filters. Support real-time collaborative editing with version control. System Integration & Collaboration Work cross-functionally with product, design, and QA teams. Write clean, scalable code; participate in reviews and debugging. Stay current with new tech and propose innovative solutions. Technical Skills: Strong programming skills in Python, JavaScript, or C++. Hands-on experience with video processing libraries and tools such as FFmpeg and GStreamer. Proficient in image processing using libraries like OpenCV and PIL. Working knowledge of AI/ML frameworks such as TensorFlow and PyTorch for media content analysis. Solid understanding of modern web technologies and frameworks, including React and Node.js. Experience with cloud infrastructure (AWS, Azure) and integrating Content Delivery Networks (CDNs). Familiar with both SQL and NoSQL databases, as well as designing and developing RESTful APIs. Experience: 6 to 9 Years Skills: FFmpeg, GStreamer, AI/ML Location: Chennai (Hybrid Model) What Do We Offer? Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the "challenge yourself" role where you learn something new every day, never stop growing, and have fun while you're doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict "no a**hole policy" and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more! One Team One Dream | This is one of our values, and it shows. We don't believe in artificial hierarchies. If you're part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it's a great time to be joining… To review our Privacy Policy, please click here.

What is Contentstack? Contentstack is on a mission to deliver the world's best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today's crowded digital markets and gain their competitive edge. Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code. Learn more at www.contentstack.com. Who Are We? At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let's go! What Are We Looking For? Contentstack is looking for a skilled Software Engineer to help develop and enhance our next-gen Media Asset Management (MAM) platform. This role centers on advanced video and image processing, AI-driven metadata features, real-time collaborative editing, and system integrations. Key Responsibilities: Video Processing & Streaming Build automated transcoding pipelines and proxy generation. Implement adaptive bitrate streaming (HLS, DASH). Integrate AI features: transcription, captions, scene detection, interactive elements. Ensure seamless CDN integration and system interoperability. Image Processing & Editing Automate image conversions and thumbnail generation. Develop in-platform editing tools (crop, resize, filters, retouching). Implement advanced features: non-destructive editing, AI enhancements, ICC color management, vector integration, and parametric filters. Support real-time collaborative editing with version control. System Integration & Collaboration Work cross-functionally with product, design, and QA teams. Write clean, scalable code; participate in reviews and debugging. Stay current with new tech and propose innovative solutions. Technical Skills: Strong programming skills in Python, JavaScript, or C++. Hands-on experience with video processing libraries and tools such as FFmpeg and GStreamer. Proficient in image processing using libraries like OpenCV and PIL. Working knowledge of AI/ML frameworks such as TensorFlow and PyTorch for media content analysis. Solid understanding of modern web technologies and frameworks, including React and Node.js. Experience with cloud infrastructure (AWS, Azure) and integrating Content Delivery Networks (CDNs). Familiar with both SQL and NoSQL databases, as well as designing and developing RESTful APIs. Experience: 3 to 5 Years Skills: FFmpeg, GStreamer, AI/ML Location: Chennai (Hybrid Model) What Do We Offer? Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the "challenge yourself" role where you learn something new every day, never stop growing, and have fun while you're doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict "no a**hole policy" and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more! One Team One Dream | This is one of our values, and it shows. We don't believe in artificial hierarchies. If you're part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it's a great time to be joining… To review our Privacy Policy, please click here.

Job Purpose Job Purpose Description Job Context & Major Challenges Job Context Job Challenges: Key Result Areas KRA (Accountabilities) (Max 1325 Characters) Supporting Actions (Max 1325 Characters) KRA1 Contentious Matters Handle civil and criminal litigations, aribtrations and claims and notices.Handle International commercial disputes, SIAC and ICC arbitrations. Hande notices from various statutory authorities Advise Zonal Legal SPOCs on consumer matters, real estate and authority issues. Monitor and strategise all litigations against Key Management Personnel KRA2 Commercial Contracts Network and Marketing & Sales Agreements viz. Dealer Agreements, Franchisee Agreements. Commercial Contracts viz. Service Providers, Transporters, Contract Manufacturing, Handling Agents. Procurement Contracts viz. Raw Material Purchase, Engineering/Tooling Agreements, Purchase Agreements, Supplier Contracts, Service Provider Agreements. Maritime Agreements viz. Charter Party Agreements, Ports/Concession Agreements, Handling Agreements etc. IT Contracts viz – Master Service Agreements, SLAs, Software License Agreements etc. KRA3 Legal Advisory Legal research on relevant laws, judgments and policies and advise business. Effectively advise business on contracts, real estate, Employment Laws, Information Technology and E-Commerce Laws and Competition Law. Product advisory viz. Legal Metrology, BIS and consumer protection laws.

Role : Physical Design Experience : 2 - 20 yrs. Strong background of ASIC Physical Design : Floor planning, P&R, Extraction, IR Drop Analysis, Static Timing and Signal Integrity.. Hands-on experience on technology nodes like 7nm, 14nm, 10nm.. Good knowledge of EDA tools from Synopsys , Cadence and Mentor. Hands-on experience in floor planning, placement optimizations, CTS and routing.. Hands-on experience in cadence or Synopsys tool (Encounter, ICC, PT/PTSI, TEMPUS, DC, RC, VOLTAS). Skills : Static timing analysis, Application Specific Integrated Circuit (ASIC), Floorplan Manager, Extraction, Synopsys and Physical Design. We are looking for a highly skilled Physical Design Engineer with a strong background in ASIC physical design. The ideal candidate should have hands-on experience in advanced technology nodes (7nm, 10nm, 14nm), and deep expertise in P&R, STA, IR drop analysis, and EDA tools such as Synopsys, Cadence, and Mentor. You will be responsible for all aspects of physical design implementation from RTL to GDSII. Key Responsibilities Execute complete RTL-to-GDSII physical design flow for complex ASICs. Perform floorplanning, placement, clock tree synthesis (CTS), routing, and physical verification. Conduct timing closure using Static Timing Analysis (STA) with tools like PrimeTime (PT/PTSI) or Tempus. Perform IR drop and EM analysis, including extraction and signal integrity verification. Optimize physical designs for power, performance, and area (PPA). Run physical verification checks such as LVS, DRC, and Antenna. Collaborate with logic designers, verification, DFT, and packaging teams to drive design convergence. Debug and resolve physical design issues during implementation and tape-out phases. Utilize scripting (TCL, Perl, Python, etc.) to automate flows and improve efficiency. Key Skills Required Solid background in ASIC physical design, including floorplanning, P&R, extraction, STA, IR/EM analysis, and signal integrity. Hands-on experience with advanced process nodes like 7nm, 10nm, and 14nm. Proficiency In EDA Tools, Such As Synopsys : ICC, DC, PrimeTime (PT/PTSI) Cadence : Innovus, Tempus Mentor : Calibre Experience with floorplan managers, placement optimization, CTS, and final routing. Familiarity with parasitic extraction and delay modeling. Proficient in scripting using TCL, Perl, Python, or Shell for tool automation and flow management. Bachelor's or Master's degree in Electronics Engineering, VLSI, or related field. Knowledge of DFT, DFM, and low-power design techniques. Experience working on full-chip or block-level implementation. Experience with multi-voltage and multi-corner designs. Exposure to 3D-IC, chiplet-based architecture, or advanced packaging flows. Knowledge of RTL synthesis and constraints development. (ref:hirist.tech)

Job requisition ID :: 84387 Date: Jun 23, 2025 Location: Delhi Designation: Assistant Manager Entity: What impact will you make? Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential. We are well-known for our innovative and collaborative culture, commitment to delivering outstanding quality service to clients and enabling our people to excel in everything they do. Our Debt Capital and Treasury Advisory (DCTA) practice is fully integrated into the “One Deloitte” agenda, and you will often find yourself working on large and exciting DCTA assignments in a challenging new environment. Benefiting from high levels of exposure and learning from some of the experienced practitioners in the DCTA field, you will expand your skills to grow as a professional in this domain. The Team We work as an extension of our Deloitte member firms’ DCTA practices and provide dedicated support throughout the project lifecycle. Working on international assignments involving cross-border and cross-service line teams allows you to build your networks across the vast Global Deloitte network and develop understanding of the global Debt and Capital Market standards. You will generally work with Deloitte London’s market Performance Management (PI) team, who are part of London DCTA team (c.150 members) and serving to corporate organizations, Private Equity houses and banks. They are widely recognized as the most experienced Debt and Capital Advisory team in EMEA and support transactions across all industry sectors. They have been involved on largest and most complex integrations, separations and joint ventures including supporting such some multinational clients. The DCTA team is now developing its current capability within the FA-ICC in Mumbai which caters to the UK, European, Middle East and Canadian Deloitte firms. We also have an active international secondment program for our analysts after they gain relevant experience as we believe this plays a crucial role in their overall career and personal development. This includes secondment into DCTA practices across our global network of Deloitte member firms. Work you’ll do A career within DCTA practice will provide a wide & valuable experience in an exciting and dynamic working & learning environment. The role will position you to support on all aspects of an M&A engagement which include the following activities: Display a firm grasp of essential financial statements and the capacity to employ a logical and analytical approach in specific situations. On projects, you may be tasked with conducting financial due diligence for various buy-side and sell-side transactions, with a primary focus on foreign exchange risk, and assist in preparing working capital reports. Perform in-depth company and industry research from a PI lens supporting specific client engagements and marketing opportunities. Deliver and manage projects on various PI initiatives and products including company profiles, target/buyer screenings, industry/thematic research, periodicals and sector dashboards, pitch material, etc. Perform relative valuation models to benchmark industry specific financial and performance KPIs, and debt pricing transactions. Prepare marketing materials (pitch books, corporate profiles, and industry data and analyses, information memorandum). Operate under tight deadlines, offering value to intricate and high-profile projects. Contribute to business development activities, both internally and externally, such as crafting sales materials and presentations. Collaborate with colleagues and senior management at client organizations to push forward actions, manage risks and issues, and facilitate decision-making. Take responsibility for ensuring high quality and risk management, guaranteeing that all client work adheres to Deloitte's quality and risk regulations and guidelines. Support the business initiatives of Deloitte member firms in Canada, the UK, the Middle East, and Europe within the DCTA practice. Collaborate with members of engagement teams located in Canada, Australia, the UK, the Middle East, and Europe as necessary. Function effectively within diverse teams that foster inclusivity and recognition of individual contributions. Generate research documents regarding potential clients as assigned by the team and be prepared to present these findings to the team. Possess strong written and verbal communication skills. Eligibility CA or CFA Level 2 or CFA Level 3 Skills Required To be considered for this role, your competencies will cover the broad scope of DCTA services, leveraging your professional background and skills such as: Excellent track record and strong academic achievements Strong understanding of financial statements Excellent verbal and written communication skills Knowledge about debt/credit markets and related terms Working knowledge of data sources such as Capital IQ, Pitchbook, Bloomberg, Thomson etc. would be an asset Proficiency with MS office suite (Excel, PowerPoint, Word) Basic to advance knowledge of Excel Interest in working in a challenging and dynamic environment Ability to work independently with minimal supervision Proactive and an inquisitive mind, with a passion to provide world class client service Ability to work as a team and take responsibility on delegated tasks and deliverables Logical and problem-solving skills How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Hardware Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. 5 to 10 years of experience in static timing analysis, constraints and other physical implementation aspects. Solid understanding industry standard tools PT, Tempus, GENUS, Innovus, ICC etc. Solid grip on STA fixing aspects to solve extreme critical timing bottleneck paths. Should have experienced about preparing complex ECOs for timing convergence [ across huge set of corners] through Tweaker / Tempus / Physical PT ECOs. Should be aware about the tricks for minimizing power. Experience in deep submicron process technology nodes is strongly preferred. Knowledge of high performance and low power implementation methods is preferred. Willing to push PPA to the best possible extent. Strong fundamentals. Expertise in Perl, TCL language Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3074893

About the job Coats is a world leader in thread manufacturing and structural components for apparel and footwear, as well as an innovative pioneer in performance materials. These critical solutions are used to create a wide range of products, including ones that provide safety and protection for people, data and the environment. Trusted by the world's leading companies to deliver crucial, innovative, and sustainable solutions, we provide value-adding products including apparel, footwear and specialty threads. With a proud heritage dating back more than 250 years and a spirit of evolution to constantly stay ahead of changing market needs, we have operations across 50 countries with a workforce of over 17,000, serving our customers worldwide. Following the acquisition of Texon and Rhenoflex, new Coats Footwear now has a complete range of footwear components to meet your needs, from heel counters to toe puffs and everything in-between. Through our technologically diverse product portfolio, we can cater to both current and future trends, setting new standards in the process, turning customer ideas into a reality and accelerating sustainability. Headquartered in the UK, Coats* connects talent, textiles, and technology to make a better and more sustainable world. For more info, visit our website: www.coats.com Job Title : Assistant Manager – HR Reports to (Title) : HR Manager Location : Madurai Job Purpose Contract Labour Management: · Address contractor issues related to wages, payslips, and documentation. · Ensure timely renewal of Workmen Compensation (WC) policies and Labour Licenses. · Guide new contractors on company rules, policies, and expectations. · Validate and clear monthly invoices and statutory submissions (PF, Bonus, Leave). · Ensure compliance with the Contract Labour Act; maintain documentation for audits. · Coordinate monthly attendance sharing with vendors for billing. · Verify canteen invoices against internal data and process for payment. · Collaborate with the Procurement team for timely renewal of Work Orders. · Liaise with G4S and other security agencies for manpower availability and issue resolution. · Maintain documentation of new contract labour (age verification, enrolment, joining formalities, additions/deletions in SF). Legal & Statutory Compliance: · Ensure timely submission of returns: o Quarterly: Employment Return (ER-I), OT Exemption o Half-Yearly: Labour Welfare Fund o Annually: Bonus Return, ICC Return, Holiday List · Maintain all statutory registers as per the Factory Act. · Track and close tasks via Komrisk portal to ensure 100% compliance. · Support workers in PF withdrawals, pension claims, and death benefits within defined timelines. · Process and pay Professional Tax and Provident Fund on time; generate PF challans. · Ensure timely renewal of Factory License and canteen compliance. · Represent the company in conciliation, labour court cases, and PF 7A hearings. HR Operations & Support: · Drive workforce planning and hiring through NAPS & FTC routes. · Execute Confirmation process and obtain required approvals. · Implement employment models involving Apprentices, Trainees, and Confirmed staff; manage FTC renewals or exits. · Recruit Trade Apprentices and process contracts via the apprenticeship portal. · Support PMS process: monthly data collation, annual review facilitation with HODs/Plant Manager, preparation of increment letters and salary revision sheets. Payroll & Employee Settlement (Panoli): · Ensure on-time remittance of all statutory payments with 100% compliance. · Process Full & Final Settlements for separated employees. · Prepare and process annual LTA payouts for executives and managers. · Ensure smooth payroll integration and zero salary-related grievances. Administration: · Implement and support new Visitor Management Systems (VMS). · Process gratuity reimbursements for exited employees. · Organize monthly meetings with Unions, Canteen Committee, and Works Committee. · Support HR team in coordination of employee welfare events. · Prepare and report monthly HRIS. · OHC (Occupational Health Centre) Management. · Security Management, Canteen Management · Coordinate hotel and cab bookings for visitors. Employee Relations: · Union Management · Support CBA/LTA on closure · Maintain harmonious industrial relations through grievance handling mechanisms. · Implement and manage Grievance Register; ensure timely redressal. · Conduct regular one-on-one and group connects with shop floor employees across all levels. Audit & Documentation: · Prepare documentation for Government Audits (PF, Labour Department, Factory Office, etc.). Lead documentation for internal audits such as KFC Audit, IMS Audit, GIA, GRS, Social & Customer Audits. Qualifications & Experience: · MBA/PGDM, MSW. · 5–7 years of relevant experience in a manufacturing. Key Competencies: · Strong knowledge of labour laws and contract labour compliance. · Industrial Relations & stakeholder management. · Payroll processing and statutory compliances knowledge. · Good communication, documentation, and vendor coordination skills. · Proactive problem solver with attention to detail At Coats Group, we are committed to innovation, excellence, and fostering a diverse and collaborative environment where every team member can thrive. If you are passionate about making an impact in the textile industry and eager to join a global leader with a rich heritage and a forward-thinking approach, we invite you to take the next step in your career with us. Apply now to be part of our dynamic team and help shape the future of textiles. Coats Group plc Coats is a world leader in thread manufacturing and structural components for apparel and footwear, as well as an innovative pioneer in performance materials.

Responsibilities Arranging Job Rotation and ensuring HR availability as per the business and organizational requirements Devising and implementing the company policies Job analysis, Competency mapping experience Streamlining HR activities Maintaining various HR related reports using excel and performing data & trends analysis Manage Appraisals, Promotions increments and Performance management cycle Assistance in organizing of get-togethers, picnics, parties and other employee engagement activities and initiatives Managing Employee Relations, conducting Skip Level meetings and improving employee connect Experience in Client Management and Interaction will be preferred Experience in employee onboarding and induction Would require experience with executing process improvement & compliance standards Should be able to conduct weekly and monthly internal and external reviews & prepare strategies to improve employee morale and retention Good people development skills Ability to liaise with relevant support departments and business stakeholders Ability to create an environment of trust and fairness Driving organizational culture and value Grievance management Competency mapping Disciplinary actions CSR / WE Payroll Audits Attrition management / excel skills / analysis Absenteeism Management Policies / Procedures Analysis Exit analysis SKIPs / focus groups / trainings KPI management EWS RAGs analysis Labor norms Salary break up Red zone intervention Harassment: no – needs to read and research Manages human resources policies and programs related to recruitment and selection, associate relations, and other HR functions for a single location ensuring policy and regulatory compliance Manages, coaches, and develops site HR team and serves as a mentor to other HR professionals Qualifications Generally 15 or more years progressively responsible experience as a Human Resources Manager, Generalist, or Specialist with experience in associate relations, learning and development, problem and conflict resolution and recruiting non-exempt personnel in a high-volume environment Experience managing, coaching, and developing others Experience demonstrating extensive knowledge, interpretation, and application of employment laws Extensive knowledge of general labor policies and practices including discrimination, harassment, and union avoidance Prior experience delivering HR training and development programs Demonstrated success in conducting behavioral interviews and management talent assessments Experienced in leading positive change Call Center industry experience preferred Required Skills Strong interpersonal and collaborative skills including verbal and written communications skills, presentation skills, facilitation skills and negotiation skills Success in developing and making compelling written/oral proposals Strong problem solving/consulting skills Excellent time management skills Excellent planning and organizing skills, especially prioritizing multiple projects/tasks Demonstrated listening skills Good PC skills with demonstrated ability to use a variety of software packages including Word, Excel, Access, PowerPoint and Outlook with the ability to assimilate, present and analyze data as needed Strong analytical and presentation skills hence excellent MS office knowledge is a Mandate Preferred Skills Demonstrated business savvy with ability to develop and maintain successful partnerships with both management and associates Ability to serve as an associate advocate while balancing the needs of the clients and the company Ability to provide superior service to associates by listening, comprehending and guiding them through the issue to closure Demonstrated ability to effectively deal with ambiguity Ability to develop strong business relationships Proven ability to influence associates at all levels Demonstrated ability to adapt to changing priorities and provide proactive, effective change leadership Understanding of and ability to ensure compliance Expert at establishing and maintaining effective relationships with management staff, front line associates, the general public and clients Confidentiality is critical Open-minded, trustworthy, compliance-oriented, flexible, adaptable and team-oriented Good knowledge of Statutory compliance and Audit requirement Knowledge of Sexual harassment / ICC Committee and the compliance towards the same Engagement in CSR activities We are committed to diversity and inclusivity in our hiring practices.

Overview About Ripik.AI Ripik.ai is a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience in McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders. Ripik.ai builds patented full stack software for automation of decision making on the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminium, cement, pharma, paints, consumer goods and others. It is one of India’s very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM. About The Role As a AVP Sales, you will be responsible for developing and executing sales strategies, managing key accounts, overseeing sales operations, and leading a high-performing sales team. You will also collaborate closely with other functional teams, including but not limited to marketing, product, and customer support to ensure sales targets are met or exceeded. Required Skills, Competencies & Experience Must have 10+ years of total experience working in selling software or hardware to Indian Industrial Organizations/ Manufacturing industries. Demonstrate excellent written and verbal communication skills, with the ability to present to customers on-site. Account Management, Sales Operations and revenue management skills. Proven track record of achieving and exceeding sales targets and KPIs. Experience in leading high-performing sales teams Excellent negotiation skills. What can you expect? Ability to shape the future of manufacturing by leveraging best-in-class AI and software; we are a unique organization with niche skill set that you would also develop while working with us World class work culture, coaching and development Mentoring from highly experienced leadership from world class companies (refer to Ripik.AI website for details) International exposure Location: Noida (Work from Office)