1393 Filtering Jobs - Page 4

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Software Engineer II We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Manager Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities Experience All About You Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: Confluence (Documentation) Bitbucket/Stash (Code Sharing) Shared Folders (File Sharing) ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required #AI1 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities Experience All About You Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: Confluence (Documentation) Bitbucket/Stash (Code Sharing) Shared Folders (File Sharing) ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

About Tooling Business: In 1935, Godrej Tooling was established. A tool room, that was the most advanced in India for its time. The big idea behind this was to encourage the indigenization of machine tools. This forward-thinking vision, coupled with the highly skilled expertise of the tool room, were the reasons why Godrej & Boyce got the first order to manufacture satellite components for ISRO. Over the years, Godrej Tooling has retained its position as a key player in the design and manufacture of tools and tooling equipment. The business manufactures custom-built, high-quality tooling that caters to a broad cross-section of players across industries. The business has expertise in industrial machines, pressure dies, casting dies, press dies, die casting dies, thermo-compression moulds, complex and large-sheet metal tooling for auto panels, and progressive dies. Godrej Tooling is a systems-driven organization, eager to learn and experiment keeping abreast of the latest technology platforms, software and manufacturing processes. Its commitment to innovation ensures that even today, the business is among India's most advanced tool rooms, and proudly serve customers such as Honda Cars & Motorcycles, Toyota, Suzuki, Mahindra & Mahindra, Tata Motors, Caparo, and Valeo. Key Result Areas: 1. Order booking as per target 2. Outstanding collections 3. MIS management 4. Alignment with divisional initiatives like Business excellence , Kaizen, IMS. 5. OB & Outstanding data management Job Profile: 1. Enquiry generation, New business development, filtering enquiries from domestic & overseas clients. 2. Conducting market research to identify selling possibilities and evaluate customer needs 3. Actively seek out new sales opportunities through cold calling, networking and social media 4. Offer preparation, submission & follow up 5. Ensuring order booking and collection of receivables as per monthly plan. 6. Prepare and deliver appropriate presentations on products and services 7. Create frequent reviews and reports with sales and financial data 8. Participate on behalf of the company in exhibitions or conferences 9. Negotiate/close deals and handle complaints or objections 10. Collaborate with team members to achieve better results 11. Gather feedback from customers or prospects and share with internal teams 12. Timely preparation of MIS 13. Active participation in Divisional activities Kaizen, Business excellence, Integrated management systems. 14. Archive & maintain ABP related data 15. Maintain customer base data including their growth plans Special Skills Required: 1. Communication skills 2. Customer orientation 3. Presentation skills 4. Interpersonal skills 5. Proven experience as a Sales Executive or relevant role 6. Proficiency in English 7. Excellent knowledge of MS Office 8. Thorough understanding of marketing and negotiating techniques 9. Fast learner and passion for sales 10. Self-motivated with a results-driven approach 11. Aptitude in delivering attractive presentations

Required minimum 7 years of experience in system administration. Manage and maintain on-premise and cloud-based servers (Linux/Windows) Administer user accounts, access control, and Active Directory policies Manage virtual infrastructure (VMware, Hyper-V, AWS/GCP/Azure) Monitor system performance and resolve hardware/software issues Ensure availability and reliability of critical business systems Configure and maintain firewalls, routers, VPNs, switches (Fortinet, Cisco, Ubiquiti, etc.) Monitor and respond to intrusion detection/prevention systems (IDS/IPS) Implement and manage endpoint protection and antivirus solutions Conduct vulnerability assessments and remediation Manage secure email gateways, spam filtering, and DLP policies Strong knowledge of HIPAA security rules Responsible for enforcing HIPAA administrative, physical, and technical safeguards Maintain documentation of compliance controls and risk assessments Oversee data encryption, audit logs, access controls, and PHI handling Train staff on HIPAA security awareness and handle incident reporting Lead annual HIPAA security risk assessments and audits Develop and enforce IT and security policies, including data retention, access control, and BYOD Maintain audit trails for compliance purposes Coordinate third-party vendor risk assessments and compliance reviews Familiar with NIST, ISO 27001, and general IT compliance frameworks Ability to communicate clearly with technical and non-technical teams Good to have : Certified HIPAA Professional (CHP) Job Type: Full-time Pay: ₹500,000.00 - ₹800,000.00 per year Benefits: Health insurance Schedule: Day shift Ability to commute/relocate: Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required)

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Title - Manager Service Line - Strategy and Transactions (SaT) Sub Service Line -EYP - Strategy Year of Exp .- 4-8 years of relevant post MBA Qualification Required - Btech Chemical engineering Skills – Required Qualification Preferred - MBA in Petroleum & Energy studies Strategic analysis skills, , Financial and transactional skills Project Management, Business and Commercial acumen, Business Development, People development, Relationship building Skills – Preferred Report writing, communication and usage of analytical tools/ representations, Proficiency in detailed financial and commercial analysis, communication and usage of analytical tools/ representations, Negotiation and influencing skills Job Description Able to provide strategic market and financial assessment as part of strategy services including commercial due diligence, growth strategy and market entry strategy for energy clients Able to co-ordinate and accomplish multiple projects, including planning, scoping of the requirement, assisting with data collection; co-ordinating between departments in and outside organization, data analysis; and business writing and disseminating research results Experience in financial modelling as part of feasibility studies, go-to-market strategies, and Information Memoranda for energy/ oil & gas clients Strong storyboarding skills, and ability to make judgement on filtering out relevant data and information pertaining to the projects and client requirement Recommending strategic alternatives, by conducting primary and secondary market research as well as analysing company's opportunities and financial situation Ready to travel onshore to deliver the project (on a need basis), by working together with engagement team Demonstrating excellent skills in project execution, including project management, problem-solving and facilitation Ability to contribute meaningful ideas and work productively with other team members as well as on independent assignments Proactively engage with customer to Identify, build and develop new opportunities to propel the team. Adherence of all process compliance as well as timely reporting of facts & figures. Candidate Profile 4-8 years of business analysis, consulting and client management experience in a consulting environment with exposure to working with senior leadership Relevant experience in handling projects including due diligence, feasibility studies, strategic market assessment, Information Memoranda, go-to-market strategies, Operating model design, benchmarking analysis and M&A advisory Detailed knowledge on the value-chain of the energy sector is a basic requisite Financial analysis experience with the ability to link operational analysis to P&L, cash flow and balance sheet along with basic financial Modeling experience Good Business sense and logical reasoning and should be to conceptualize research storyboard along with strong PowerPoint and Excel skills Ability to communicate effectively, both verbally and written Self-starter, proactive, comfortable working independently and taking on significant responsibility Experienced in presenting findings clearly in reports and other deliverables to clients Other Details Knowledge of standard reference/information sources such as Onesource, Factiva, Thomsonone.com, Reuters, Mergermarket, CapitalIQ etc. will be preferred. Able to read, analyse, interpret and present information from financial, valuation reports, market/industry reports, articles, technical and trade documents, and other journals EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Title - Manager Service Line - Strategy and Transactions (SaT) Sub Service Line -EYP - Strategy Year of Exp .- 4-8 years of relevant post MBA Qualification Required - Btech Chemical engineering Skills – Required Qualification Preferred - MBA in Petroleum & Energy studies Strategic analysis skills, , Financial and transactional skills Project Management, Business and Commercial acumen, Business Development, People development, Relationship building Skills – Preferred Report writing, communication and usage of analytical tools/ representations, Proficiency in detailed financial and commercial analysis, communication and usage of analytical tools/ representations, Negotiation and influencing skills Job Description Able to provide strategic market and financial assessment as part of strategy services including commercial due diligence, growth strategy and market entry strategy for energy clients Able to co-ordinate and accomplish multiple projects, including planning, scoping of the requirement, assisting with data collection; co-ordinating between departments in and outside organization, data analysis; and business writing and disseminating research results Experience in financial modelling as part of feasibility studies, go-to-market strategies, and Information Memoranda for energy/ oil & gas clients Strong storyboarding skills, and ability to make judgement on filtering out relevant data and information pertaining to the projects and client requirement Recommending strategic alternatives, by conducting primary and secondary market research as well as analysing company's opportunities and financial situation Ready to travel onshore to deliver the project (on a need basis), by working together with engagement team Demonstrating excellent skills in project execution, including project management, problem-solving and facilitation Ability to contribute meaningful ideas and work productively with other team members as well as on independent assignments Proactively engage with customer to Identify, build and develop new opportunities to propel the team. Adherence of all process compliance as well as timely reporting of facts & figures. Candidate Profile 4-8 years of business analysis, consulting and client management experience in a consulting environment with exposure to working with senior leadership Relevant experience in handling projects including due diligence, feasibility studies, strategic market assessment, Information Memoranda, go-to-market strategies, Operating model design, benchmarking analysis and M&A advisory Detailed knowledge on the value-chain of the energy sector is a basic requisite Financial analysis experience with the ability to link operational analysis to P&L, cash flow and balance sheet along with basic financial Modeling experience Good Business sense and logical reasoning and should be to conceptualize research storyboard along with strong PowerPoint and Excel skills Ability to communicate effectively, both verbally and written Self-starter, proactive, comfortable working independently and taking on significant responsibility Experienced in presenting findings clearly in reports and other deliverables to clients Other Details Knowledge of standard reference/information sources such as Onesource, Factiva, Thomsonone.com, Reuters, Mergermarket, CapitalIQ etc. will be preferred. Able to read, analyse, interpret and present information from financial, valuation reports, market/industry reports, articles, technical and trade documents, and other journals EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Job Description At RBHU, we are a team of hyper-focused individuals focused on achieving clear, outstanding results. We thrive on a foundation of trust, collaboration, and a shared sense of purpose. By harnessing our collective talents and aligning our efforts, our teams consistently surpass benchmarks and set new standards of excellence. Requirements : We are looking for bright, young engineers with good mathematics skills and an interest in data analytics/science. Experience : 0 to 1 year Knowledge Of The Following Will Be Advantageous SQL Query writing MS Power BI Python/R for data science Responsibilities Data Cleaning and Preparation : This involves filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance. Data Exploration and Analysis : Analysts use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends. Data Visualization : They create visual representations of data findings through charts, graphs, and dashboards to make the data understandable. Reporting : Data analysts prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes. Collaboration : They often work with other departments to understand their data needs and help them make informed decisions based on data insights. Understand requirements given by business users in the functional domain. Access data stored in databases/warehouses/flat files. Create/test/deploy intuitive and interactive, analytical dashboards. Create algorithms in Python/R for advanced analytics. Create data governance policies like RLS to manage data security. (ref:hirist.tech)

As an Intern Computer Vision Engineer - Data Scientist at Neuronest AI Pvt Ltd in Coimbatore, your role will involve working on day-to-day tasks related to computer vision, data science, and machine learning. Your key responsibilities will include developing and implementing computer vision algorithms such as object detection, tracking, and segmentation in video surveillance systems. You will also apply traditional image processing techniques like filtering, edge detection, and morphological operations to enhance video analysis. Writing and maintaining scalable code in Python and C++ for real-time video data processing and complex analyses will be crucial. You will integrate algorithms into video surveillance systems, conduct testing for reliability, collaborate with cross-functional teams, and document processes for future development. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields, along with at least 1 year of experience in developing computer vision applications with a focus on object detection, tracking, and segmentation. Proficiency in computer vision techniques, deep learning-based methods, Python, and C++ using libraries like OpenCV, TensorFlow, or PyTorch is essential. Knowledge of video surveillance systems, real-time video processing, and familiarity with FFmpeg, Gstreamer, basic networking protocols, cloud platforms, and distributed systems will be advantageous. In addition to technical skills, soft skills like strong problem-solving, analytical abilities, independence in work, and efficient task management are valuable attributes for this role. Staying updated with advancements in computer vision and proposing innovative solutions to enhance system capabilities will be encouraged.,

You are a Computer Vision/ML Engineer who will be a valuable addition to our team dedicated to solving machine vision problems. In this role, you will be responsible for developing and implementing state-of-the-art computer vision algorithms to ensure top-notch quality standards for our products. Your primary responsibilities will include: - Developing and implementing computer vision and machine learning algorithms for detecting and classifying defects in manufacturing facilities. - Preprocessing and augmenting project datasets to enhance model performance. - Staying updated with the latest research and advancements in computer vision and machine learning specifically related to defect detection and classification. - Optimizing existing computer vision models for improved accuracy and efficiency in classification. - Conducting experiments to evaluate model performance using relevant metrics and benchmarks. - Researching and innovating solutions to tackle challenges in defect detection and classification. - Collaborating closely with software engineers to integrate models into final production systems. To excel in this role, you should possess the following qualifications: - A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - 3-4 years of professional experience in computer vision and machine learning, focusing on object detection and classification. - Profound knowledge of computer vision basics, including image preprocessing, feature extraction, object detection, and image segmentation. - Proficiency in Python programming. - Experience with deep learning frameworks like TensorFlow or PyTorch. - Familiarity with data augmentation techniques, filtering, and contour extraction. - Understanding of cutting-edge computer vision models and techniques applicable to defect detection and classification tasks. - Strong problem-solving abilities and the capacity to work both independently and collaboratively. - Excellent communication and collaboration skills. Preferred qualifications include: - Experience in quality control or inspection projects within manufacturing environments. - Knowledge of industrial imaging systems and techniques. - Understanding of parallel computing and GPU optimization for accelerated model training and inference. Joining our team offers you numerous benefits, such as: - Opportunity to shape your career path independently. - Exposure to a diverse consulting environment working with Fortune 500 companies and startups. - A dynamic yet supportive work atmosphere that fosters personal growth. - Involvement in a close-knit community that extends beyond work, including sports, social gatherings, and shared interests. - Being part of the exciting growth journey at Thoucentric. If you are passionate about computer vision and machine learning, and eager to contribute to cutting-edge projects in a supportive and collaborative environment, we encourage you to apply and become part of our team at Thoucentric.,

We’re looking for a meticulous Accounts Assistant (or Executive) to support our finance team in maintaining accurate financial records. The ideal candidate will have solid Excel skills and a good understanding of basic accounting principles. Key Responsibilities:Maintain and update daily financial and accounting records. Process invoices, receipts, payments, and vendor bills. Record journal entries and reconcile ledgers. Prepare bank reconciliations and monitor cash flow. Assist in preparing monthly financial statements and reports. Support audits and compliance processes as needed. Use Excel to manage spreadsheets, perform calculations, and analyze data. Required Skills & Qualifications:Bachelor’s degree in Commerce, Accounting, Finance, or related field. Proven experience (typically 1–3 years) in an accounting or finance role. Strong proficiency in Microsoft Excel: including VLOOKUP, pivot tables, IF formulas, sorting/filtering, and basic charting. Familiarity with accounting software (e.g., Tally, QuickBooks, Zoho Books) is a plus. Excellent attention to detail and numerical accuracy. Strong organizational skills and ability to manage time effectively. Good communication skills and ability to work well within a team environment. Desirable Attributes:Proactive attitude, willingness to learn, and adaptability in a dynamic working environment. Ability to manage and prioritize multiple tasks and meet deadlines. What We Offer:Competitive compensation and benefits. Opportunities for professional growth and skill development. Supportive and collaborative team culture.

Novo Nordisk Global Business Services ( GBS) India Department- Commercial Analytics Are you a data-driven problem solver? Do you have a knack for translating complex business needs into actionable insights? We are looking for a Business Analyst to join our dynamic team in Bangalore. If you are ready to take on a challenging role in a global company, read on and apply today for a life-changing career. About The Department Finance Global Business Services (GBS), Bangalore, established in 2007, is responsible for supporting Accounting, Accounts Payable, Procurement, Commercial Analytics, Financial Planning & Analytics for Headquarters in Denmark, Region Europe, North America, International Operations & Global Service Centre Bangalore. Commercial Analytics, part of Finance GBS, was founded in June 2013 with the aim of establishing a team of dedicated analytics professionals to provide best-in-class analytical services and insights to the global organization. Our main purpose is to provide superior service and partnership experience to our stakeholders consistently and add value to the processes in terms of standardization and efficiency. The position As a Business Analyst at Novo Nordisk, you will: Manage and maintain Pricing system operations to ensure uninterrupted functionality and optimal performance. Oversee user access and permissions, ensuring tailored access levels for different user roles. Address and resolve user queries and issues related to system functionalities and access. Develop and maintain comprehensive documentation for system operations, user access, and issue resolution processes. Utilise advanced Excel functions to conduct analysis of large datasets. Ensure the integrity of databases, implementing robust measures for data accuracy and reliability. Develop and execute data validation processes to uphold the accuracy and dependability of data. Utilise diverse data analysis tools and systems to extract, transform, and load data for reporting and analytical purposes. Create trackers and provide insights on pricing performance. Understand the product portfolio of Novo Nordisk and competitors. Develop and design solutions to meet project requirements, potentially in the form of an Excel-based model/dashboard, report, or presentation. Maintain regular communication with internal and external stakeholders to understand business needs and deliver outcomes. Be the technical expert of the team and the point of contact for all such queries. Support ad-hoc tasks/projects. Qualifications We are looking for a candidate with the following qualifications: A Master’s Degree (preferably within a quantitative/analytical/IT discipline) from a well-recognised institute. 4-6 years of experience working in a technical/analytical data management role, preferably in the Pharma industry. Proficiency in advanced Excel functionalities for data analysis and reporting. Strong understanding of database management and proficient in data validation techniques. Essential SQL skills – ability to perform queries, filtering, and data extraction. Essential VBA skills – ability to understand, maintain, and create low-to-medium complexity macros. Proficient in data visualisation using Power BI & Excel. Good academic track records and grades. Ability to translate business problems into the most efficient and effective analysis plan; execute the analysis including data pull, data preparation, data validation, and convert them to insights. Ability to collaborate and communicate with different stakeholders, primarily with internal stakeholders, customers, vendors, consultants, and project teams. Strong strategic and analytical capabilities, with demonstrated experience in analysing complex situations, collecting data, and effectively synthesising the analytics/data. Solid project management and relationship-building skills to overcome complex and multidimensional business challenges. Working at Novo Nordisk Novo Nordisk is a leading global healthcare company with a 100-year legacy of driving change to defeat serious chronic diseases. Building on our strong legacy within diabetes, we are growing massively and expanding our commitment, reaching millions around the world and impacting more than 40 million patient lives daily. All of this has made us one of the 20 most valuable companies in the world by market cap. Our success relies on the joint potential and collaboration of our more than 72,000 employees around the world. We recognise the importance of the unique skills and perspectives our people bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk, we’re working toward something bigger than ourselves, and it’s a collective effort. Join us! Together, we go further. Together, we’re life changing. Contact To submit your application, please upload your CV online (click on Apply and follow the instructions). Apply Now! Deadline 8th August 2025. Disclaimer It has been brought to our attention that there have recently been instances of fraudulent job offers, purporting to be from Novo Nordisk and/or its affiliate companies. The individuals or organizations sending these false employment offers may pose as a Novo Nordisk recruiter or representative and request personal information, purchasing of equipment or funds to further the recruitment process or offer paid trainings. Be advised that Novo Nordisk does not extend unsolicited employment offers. Furthermore, Novo Nordisk does not charge prospective employees with fees or make requests for funding as a part of the recruitment process. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. We’re not your typical healthcare company. In a modern world of quick fixes, we focus on solutions to defeat serious chronic diseases and promote long-term health. Our unordinary mindset is at the heart of everything we do. We seek out new ideas and put people first as we push the boundaries of science, make healthcare more accessible, and treat, prevent, and even cure diseases that affect millions of lives. Because it takes an unordinary approach to drive real, lasting change in health.

Designation: AI/ML Engineer Location: Gurugram Experience: 3+ years Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

The Level 2 Network Engineering team is responsible for ensuring availability, performance, and security of the network infrastructure. As a member of the team, you have a direct impact on network infrastructure design and feature enhancements to keep our systems running smoothly. You are focused on creating engineering solutions to operations problems, optimizing existing systems, building infrastructure and eliminating work through automation. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Our ideal candidate is highly autonomous, possesses effective written and verbal communication skills, a strong sense of ownership, adapts quickly to new technologies, and has high career growth potential. The desire and ability to work in a fast-paced, collaborative environment is essential. Essential Functions Develop network architecture for a multi-tenant enterprise environment. Be responsible for the lifecycle of architecture from inception to working with engineering teams on implementation and supportability of design. Build reusable designs and systems that promote scale, reliability, security and efficiency. Manage and maintain multi-vendor, multi-protocol datacenter and backbone networks. Define and develop optimized network monitoring systems. Develop and maintain consistency within the networking infrastructure. Troubleshoot and remedy network related issues. Ability to participate in a regular on-call rotation. Analyze complex business problems and issues as it relates to enterprise network infrastructure. Provide technical guidance to IT professionals to correct issues encountered with network software & connectivity. Manage the needs of multiple customers, prioritize needs and manage the daily workload. Assist with internal projects as necessary, and work with project managers to set the scope and timelines of new projects to meet completion deadlines. Interface with all levels of employees internally and within client businesses to support engagement requirements (business owners, project managers, customer employees, and executive management). Write technical procedural documentation for co-workers and for delegated tasks. Required Education, Knowledge, And Experience BS degree in Computer Science or related technical field involving systems engineering, or equivalent practical experience. 5+ years of experience working on a service provider or enterprise-level network in engineering or design capacity or equivalent experience working with Bell Techlogix India Pvt. Ltd in similar field. A deep understanding of network protocols, including IP and related transports, BGP, EIGRP and OSPF. A deep understanding of network hardware internals, including forwarding, filtering, and policing mechanisms. A solid understanding of application protocols, including DNS, IPSEC, HTTPS, and TLS. Practical experience in network device firmware management in a large-scale enterprise environment. Experience developing network automation tools in at least one language (Python, Perl, C++, Bash, etc.). Experience with and understanding authentication mechanisms including PKI. Proven expertise with network hardware and software, preferably including Cisco, Juniper, HPE, Fortinet etc. - CCNP certification required, JNCIA/JNCIS certification preferred. Strong understanding of wireless protocols with proven experience in Juniper Mist, Cisco WLC and Ruckus Strong written and verbal communications skills. Abilities And Skills Ability to adapt to a changing technical environment. Ability to coach other members of team in their area of expertise. Ability to communicate clearly with all team members and end-users. Ability to work with a sense of urgency. Self-directed and sufficient as there may be little to no daily supervision. Ability to analyze complex business systems and proprietary application configurations, document the configurations and processes, and support them as needed. Ability to prioritize and manage competing demands and tasks and successfully manage multiple engagements that may require additional resources. Equipment Used Computer Headset Conditions Of Employment Must successfully pass pre-employment (post offer) background check and drug screen.

Are you naturally curious? So are we at MKS. Our collective curiosity drives us to be an innovation leader in many industries. Our products drive technology advancements across a wide range of applications such as 5G, augmented/virtual reality, autonomous vehicles, clean drinking water and space exploration. We are a team of collaborators who value fresh thinking and believe in mutual respect, constructive candor, diversity and inclusion. As a valued and trusted partner to our customers, we are continually pushing the boundaries of possibility. We believe in creating technology that transforms our world and are looking for like-minded individuals to join our team. If this is appealing to you, we want to meet you. We are looking for an exceptional Network Engineer based in Manesar, Gurugram to join the MKS IT Enterprise Infrastructure team. This position will work with a team that is responsible for the full lifecycle development and support of daily operations of IT network infrastructure and networking functions for MKS global network operations. Experience working in a multisite and international IT environment is a requirement. The team is looking for a candidate that has the aptitude for a wide variety of responsibilities that enjoys a dynamic and challenging environment. Key Responsibilities Design and manage enterprise network architecture across data centers, campus, and branch environments using Cisco Nexus (9000/7000/5000 series) and Aruba switches (8360, 6300, 6200) . Lead deployment, configuration, and lifecycle management of FortiGate and Palo Alto firewalls with deep inspection, SSL decryption, advanced threat protection, and segmentation policies. Administer and optimize Forti Manager and Panorama for centralized firewall orchestration, policy versioning, and audit readiness. Architect and maintain Aruba ClearPass for policy-based NAC, 802.1X, RADIUS, TACACS+, endpoint profiling, and guest/onboarding services. Provide comprehensive support for Cisco ASA and Juniper SRX firewalls in hybrid environments. Oversee deployment, configuration, and support of Aruba Wireless Access Points (WAPs) and manage wireless services via Aruba Central , including advanced programming, policy configuration, and performance tuning. Ensure 24/7 visibility, performance, and health of the network using SolarWinds (NPM, NTA, NCM) and integrate alerts with ServiceNow (SNOW) for automated ticketing and incident tracking. Lead complex network troubleshooting, including packet captures, log analysis, and root cause investigations across multi-vendor environments. Drive documentation, standards development, and mentoring junior engineers. Collaborate with cybersecurity, cloud, and application teams to ensure secure and scalable connectivity. Core Technical Competencies Switching & Routing: Cisco Nexus (9000/7000/5000) – VPC, VDCs, VXLAN, BGP, OSPF, QoS Aruba CX Switching (8360, 6300, 6200) – VSX, OSPF, ACLs, Net Edit Firewalls & Security Platforms: Extensive experience with FortiGate firewalls, including Deep Packet Inspection, VPN configuration (IPsec etc.), SD-WAN optimization, Unified Threat Management (UTM), and Virtual Domains (VDOM) for secure multi-tenant environments In-depth knowledge of Palo Alto Networks technologies including App-ID, Threat Prevention, URL Filtering, Global Protect VPN, and Virtual Systems for secure, scalable firewall segmentation and remote access. Expertise in Forti Manager and Panorama for centralized, multi-firewall management, policy standardization, automated deployment, version control, and compliance auditing across enterprise environments. Cisco ASA & Juniper SRX – Traditional perimeter security, NAT, routing Access Control & Wireless: Aruba ClearPass – Authentication, profiling, policy enforcement Aruba Central – Cloud-managed WAPs, RF optimization, role-based access WAPs – Enterprise-grade wireless architecture and tuning Aruba CX switching platforms: 8360, 6300, 6200 – advanced CLI and Aruba Central GUI expertise Aruba Central: Template-based provisioning, variable injection, configuration groups, and firmware orchestration Layer 3 routing: OSPF, static routing, VRFs, routed interfaces, IP SLA VSX configuration for high availability and multi-path redundancy Zero-touch provisioning (ZTP) using Central’s onboarding framework Familiarity with REST APIs, Python scripting, or automation tools for network configuration (a plus) Experience integrating Aruba Central with ClearPass for NAC policies (preferred) Monitoring & Automation Tools: SolarWinds – NPM, NTA, NCM, Net Path ServiceNow (SNOW) – ITSM processes, CMDB, change management #LI-SM2 Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Applicants for these positions may need to be “U.S. persons.” “U.S. persons” are generally defined as U.S. citizens, noncitizen nationals, lawful permanent residents (or, green card holders), individuals granted asylum, and individuals admitted as refugees. MKS Instruments, Inc. and its affiliates and subsidiaries (“MKS”) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business. MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: accommodationsatMKS@mksinst.com . If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role

Job Opening: IT Infrastructure Executive Reports to: ICT Manager / Systems Administrator Location: University Campus, Bavdhan, Pune, Maharashtra 411021 Nature and Days of Work: Full-time, On-site (Monday to Friday; flexibility required for events) About Nayanta University: Nayanta University (proposed) in Pune, Maharashtra, is envisioned as a multidisciplinary institution emphasizing real-world learning, academic excellence, and a culture rooted in inclusion and integrity. Supported by leaders from the Confederation of Indian Industries, we are committed to building a technologically advanced, future-ready campus that empowers both students and staff with reliable, seamless access to ICT resources. Why Join Us: High-Impact Infrastructure: Play a pivotal role in establishing a robust IT foundation for a mission-driven institution. Professional Growth: Collaborate with leading academic and administrative teams, gaining exposure to cutting-edge educational technologies. Dynamic Work Environment: Contribute to transformative digital initiatives, supporting both operational efficiency and innovation in teaching and learning. Culture of Excellence: Be a part of a founding team fostering transparency, continuous improvement, and service excellence. Key Responsibilities: As an IT Infrastructure Executive, you will support the seamless operation and continuous improvement of campus-wide IT systems, infrastructure, and user experience. IT Hardware Installation & Maintenance Install, configure, and maintain computers, laptops, printers, and peripherals for academic and administrative departments. Conduct routine preventive maintenance, upgrades, and ensure prompt repair of IT equipment. Manage and update records of all IT hardware assets. Networking, CCTV & Connectivity Assist in the installation, organization, and documentation of LAN cabling, VLANS, switches, and wireless access points for comprehensive campus coverage. Monitor, diagnose, and resolve connectivity issues affecting staff and students. Set up and maintain CCTV Surveillance System. Set up and maintain Firewall, Access Points with Wired and Wi-Fi Connectivity. Software & Security Install, configure, and regularly update operating systems (Windows/Linux) and key productivity software. Ensure robust endpoint security by deploying antivirus tools, enforcing software patching, and supporting license compliance. Assist with software asset management and compliance reporting. Network Security & Device Management Aid in the configuration, monitoring, and first-level troubleshooting of firewalls, routers, and related security appliances. Support the implementation of content filtering and user policies in coordination with senior ICT colleagues. User Support & Helpdesk Operations Serve as the first point of contact for IT-related issues from faculty, administration, and students. Log, track, and resolve helpdesk incidents efficiently, ensuring a positive user experience. Provide on-site technical support during university events and hybrid/online learning sessions. Classroom & AV Systems Set up and maintain classroom audio-visual (AV) equipment, including projectors, LED screens, sound systems, and related technology. Verify the readiness and functioning of presentation systems before lectures and events. Assist faculty with the seamless delivery of digital content and troubleshoot basic system issues. Team Collaboration and Leadership: Work closely with ICT team members and other departments, maintaining open communication for cross-functional efficiency. Demonstrate a user-centric, solutions-oriented mindset in all interactions. Qualifications & Experience: Education: Diploma or Bachelor’s degree in Information Technology, Computer Science, or a related discipline. Experience: 2–3 years of practical experience in IT support, ideally within the education or non-profit sector. Technical Skills: Sound knowledge of networking principles (wired and wireless), Windows, Linux OS, Mac OS, Windows Server and Active Directory installation and maintenance, IT troubleshooting, Firewall, CCTV, Access Point, Access Point Controller and AV system setup. Interpersonal Skills: Strong communication abilities; capability to collaborate and support diverse users in a fast-paced setting. Other Requirements: Flexibility to work outside standard hours for event support; ability to perform physically active tasks (e.g., equipment installation, movement between buildings). Preferred Certifications: Microsoft MD-100/MD-101, Cisco CCNA, or certifications in firewalls (SOPHOS, Fortinet, Palo Alto, pfSense). Remuneration: Compensation will be competitive and benchmarked to industry and sector norms, commensurate with experience and qualifications. Application Deadline: August 05, 2025 Kindly note: Only shortlisted candidates will be contacted.

Visit Health – Lab Mapping Executive Position: Lab Mapping Executive Location: Noida Office (On-site) Salary Range: ₹35,000 – ₹40,000 per month Employment Type: Full-time About Visit Health Visit Health is a next-generation health-tech platform, founded in 2016 by BITS Pilani alumni, with a vision to make healthcare accessible, affordable, and preventive. From telemedicine roots, Visit has transformed into a comprehensive wellness ecosystem connecting millions of users with insurers, doctors, and diagnostic partners across India. We offer services ranging from cashless OPD care, personalized wellness programs, EAP support, to preventive screenings—serving over 5 million users and 2,500+ corporate clients. Key Responsibilities: Map and align test lists from partnered diagnostic centers to our permanent master directory. Verify test codes, names, and specifications for accuracy and integrity. Coordinate with the Lab Networks team to resolve discrepancies. Maintain and update mapping documentation. Generate and analyze Excel-based reports. Support general lab data operations. Required Skills & Qualifications: Bachelor’s degree in Life Sciences, Biotechnology, or related fields (preferred). Minimum of 2 years of experience in diagnostics centers as a Senior Lab Technician . Strong proficiency in Excel (sorting, filtering, formulas). High attention to detail and analytical thinking. Good communication and documentation skills. Ability to work both independently and in a team environment. Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹40,000.00 per month Benefits: Health insurance Provident Fund Application Question(s): * Do you have a Bachelor's degree in Life Sciences, Biotechnology, or a related field? How many years of experience do you have working in a diagnostic center, and in what capacity? Are you familiar with standard lab test codes and nomenclature used in diagnostic centers? Work Location: In person

The Network Consultant (Level 2 Network Engineering) team is responsible for ensuring availability, performance, and security of the network infrastructure. As a member of the team, you have a direct impact on network infrastructure design and feature enhancements to keep our systems running smoothly. You are focused on creating engineering solutions to operations problems, optimizing existing systems, building infrastructure and eliminating work through automation. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Our ideal candidate is highly autonomous, possesses effective written and verbal communication skills, a strong sense of ownership, adapts quickly to new technologies, and has high career growth potential. The desire and ability to work in a fast-paced, collaborative environment is essential. Essential Functions: Develop network architecture for a multi-tenant enterprise environment. Be responsible for the lifecycle of architecture from inception to working with engineering teams on implementation and supportability of design. Build reusable designs and systems that promote scale, reliability, security and efficiency. Manage and maintain multi-vendor, multi-protocol datacenter and backbone networks. Define and develop optimized network monitoring systems. Develop and maintain consistency within the networking infrastructure. Troubleshoot and remedy network related issues. Ability to participate in a regular on-call rotation. Analyze complex business problems and issues as it relates to enterprise network infrastructure. Provide technical guidance to IT professionals to correct issues encountered with network software & connectivity. Manage the needs of multiple customers, prioritize needs and manage the daily workload. Assist with internal projects as necessary, and work with project managers to set the scope and timelines of new projects to meet completion deadlines. Interface with all levels of employees internally and within client businesses to support engagement requirements (business owners, project managers, customer employees, and executive management). Write technical procedural documentation for co-workers and for delegated tasks. Required Education, Knowledge, and Experience: BS degree in Computer Science or related technical field involving systems engineering, or equivalent practical experience. 5+ years of experience working on a service provider or enterprise-level network in engineering or design capacity. Proven expertise with network hardware and software, preferably including Brocade, Cisco (IOS, NX-OS), Juniper JunOS, HPE, Fortinet etc. - CCNP certification required, JNCIA/JNCIS certification preferred. Strong understanding of wireless protocols with proven experience in Juniper Mist, Cisco WLC and Ruckus. A deep understanding of network protocols, including IP and related transports, BGP, EIGRP and OSPF. A deep understanding of network hardware internals, including forwarding, filtering, and policing mechanisms. A solid understanding of application protocols, including DNS, IPSEC, HTTPS, and TLS. Practical experience in network device firmware management in a large-scale enterprise environment. Experience developing network automation tools in at least one language (Python, Perl, C++, Bash, etc.). Experience with and understanding authentication mechanisms including PKI. Strong written and verbal communications skills. Abilities and Skills: Ability to adapt to a changing technical environment. Ability to coach other members of team in their area of expertise. Ability to communicate clearly with all team members and end-users. Ability to work with a sense of urgency. Self-directed and sufficient as there may be little to no daily supervision. Ability to analyze complex business systems and proprietary application configurations, document the configurations and processes, and support them as needed. Ability to prioritize and manage competing demands and tasks, and successfully manage multiple engagements that may require additional resources.

Job Description : · Interaction with existing customers will include · Respond existing customer's quote request, any other query which may be updation of delivery of their order, in transit shipment, making payment request etc. Monitor customer buying patterns and ensure repeat orders through data-backed follow-ups. · Share shipping updates and ensure timely payment realization. · Resolve quality concerns, if any by interacting with procurement team · Analyze sales records of customer to maintain and improve sales level · Use available sales statistics and reports to proactively engage customers and retain/increase their order volume and value. · Maintain accurate Management Information System (MIS) records related to sales, client interactions, and order processing. Maintain and update order tracking logs in shared Google Sheets for internal visibility and client reporting. · Prepare timely reports on sales performance, lead status, and customer feedback for management review. · Manage the entire order lifecycle , from order receipt to final delivery. Ensure compliance with agreed Incoterms and documentation flow. · Attend to new leads and inquiries received through various channels. · Interaction with other teams will include · Co-ordination with "Procurement team" for delivery of the product at our stores · Co-ordination with " Stores team" for packing of the ordered product · Co-ordination with "Logistics team" for invoicing, packing list, planning the shipment of the ready products · Co-ordination with "Finance team" for proper maintenance of customer's ledger Min – Qualification: B.Com or BE (Mechanical) preferred Experience: Minimum 3 years of experience in a similar sales/client servicing role, preferably in an export-import or international trading environment. Excellent verbal and written communication skills. working knowledge of Google Sheets (filtering, formulas, charts, and sharing) Ability to multitask and coordinate across departments. analytical skills and customer-oriented approach Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹45,000.00 per month Benefits: Leave encashment Provident Fund Language: English (Preferred) Hindi (Preferred) Marathi (Preferred) Location: Thane, Maharashtra (Preferred) Work Location: In person

Project Role : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Palo Alto Networks Firewalls Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: We are seeking a highly skilled Senior Network Security Engineer with proven experience in enterprise-grade security technologies including Palo Alto firewalls, IDS/IPS systems, VPN, WAF (Imperva), Cequence Bot Defense, Cloudflare DNS security, and Illumio Zero Trust microsegmentation. The ideal candidate will be responsible for designing, implementing, and maintaining network security controls to protect enterprise infrastructure, applications, and data from advanced cyber threats. Roles & Responsibilities: - Firewall & Network Security (Palo Alto, IDS/IPS, VPN) -Configure, deploy, and maintain Palo Alto Networks firewalls, including threat prevention, URL filtering, and App-ID policies. -Manage and monitor intrusion detection and prevention systems (IDS/IPS) for threat detection and response. -Configure and maintain VPN solutions (GlobalProtect or other IPsec/SSL-based systems) for secure remote access. -Analyze logs and events for unusual activity and support incident investigations. -Automate and optimize firewall rules and network segmentation for least-privilege access. -Bot Protection – Cequence Bot Defense -Deploy and manage Cequence Bot Defense for API security and bot mitigation. -Analyze bot traffic patterns and implement policies to block malicious automation -Work with DevOps and application teams to integrate Cequence with key digital assets. -DNS & DDoS Security – Cloudflare -Configure and monitor Cloudflare DNS security services including threat blocking, filtering, and DoS mitigation. -Implement policies for DNS-layer protection and content filtering. -Ensure availability and resiliency of DNS infrastructure through Cloudflare edge network. -Zero Trust & Microsegmentation – Illumio -Implement and administer Illumio Zero Trust Segmentation for workload isolation and application-level segmentation. -Design and enforce microsegmentation policies to restrict lateral movement and reduce attack surface. -Continuously assess traffic flows to identify over-permissive access and optimize segmentation models - Web Application Firewall – Imperva WAF -Deploy and manage Imperva WAF to protect critical web applications from OWASP Top 10 and other application-level attacks. -Tune WAF rules to reduce false positives while maintaining effective security posture. -Work with application teams to ensure secure deployment pipelines and integrate security testing. Professional & Technical Skills: - Collaborate with SOC, DevOps, Infrastructure, and Application Security teams to improve detection and response. -Maintain security documentation, configuration baselines, and change control records. -Assist in incident response and forensic analysis during security events. -Stay current with emerging threats and recommend appropriate security controls -Hands-on experience with Palo Alto firewalls, IDS/IPS, VPN technologies, and Imperva WAF. -Experience with Cequence Bot Defense, Cloudflare DNS/DDoS protection, and Illumio microsegmentation. -Strong knowledge of TCP/IP, routing, network protocols, and OSI model. - Experience in cybersecurity operations, with a focus on network and perimeter security. -Hands-on experience managing enterprise firewalls, preferably Palo Alto. - Experience in Bot protection and DNS security, including tools like Cequence and Cloudflare. -Proven track record in troubleshooting complex firewall and VPN issues in large-scale environments. -Experience conducting firewall audits, rule reviews, and implementing policy enhancements. -Demonstrated ability to manage incident response and change management processes. -Experience working in a global delivery model and collaborating with cross-functional teams. -Industry certifications are strongly preferred: CISSP / CISM or other relevant Cyber security certifications. -Vendor specific certifications like PCNSA or PCNSE Additional Information: - The candidate should have minimum 7.5 years of experience in Palo Alto Networks Firewalls. - This position is based at our Gurugram office. - A 15 years full time education is required.

We are looking for a detail-oriented Process Associate to support and execute SMS campaigns using pre-defined templates. The ideal candidate should be comfortable working with data in Excel, handling large recipient lists, and ensuring accuracy in execution. This is an excellent entry-level opportunity to build a career in operations and digital communication management. 🎯 Key Responsibilities: Manage and execute SMS campaigns using approved templates and tools Prepare and validate recipient data files in Microsoft Excel Use Excel functions such as VLOOKUP , filtering , pivot tables , and data validation to organize and clean data Coordinate with internal teams for content approval, template mapping, and escalation handling Maintain logs and reports of each campaign with performance metrics Ensure compliance with communication and data privacy standards (e.g., DND filtering, template regulations) ✅ Required Skills: Good working knowledge of Microsoft Excel (must be familiar with VLOOKUP, sorting, basic formulas) Strong attention to detail and ability to work with structured data Basic understanding of customer communication or SMS workflows is a plus Good communication skills (verbal and written) Ability to work independently and manage time effectively 🎓 Qualifications: Bachelor’s degree in any discipline (B.Com, BBA, BSc, etc.) 0–1 year of work experience (internships or academic projects in data/operations are a bonus) 💼 What We Offer: On-the-job training and mentorship Exposure to enterprise-scale customer communication systems Growth path into campaign management, CRM operations, or digital marketing A collaborative and supportive work environment

Business Analyst Category: Market Access Location: Bangalore, Karnataka, IN Novo Nordisk Global Business Services ( GBS) India Department - Commercial Analytics Are you a data-driven problem solver? Do you have a knack for translating complex business needs into actionable insights? We are looking for a Business Analyst to join our dynamic team in Bangalore. If you are ready to take on a challenging role in a global company, read on and apply today for a life-changing career. About the department Finance Global Business Services (GBS), Bangalore, established in 2007, is responsible for supporting Accounting, Accounts Payable, Procurement, Commercial Analytics, Financial Planning & Analytics for Headquarters in Denmark, Region Europe, North America, International Operations & Global Service Centre Bangalore. Commercial Analytics, part of Finance GBS, was founded in June 2013 with the aim of establishing a team of dedicated analytics professionals to provide best-in-class analytical services and insights to the global organization. Our main purpose is to provide superior service and partnership experience to our stakeholders consistently and add value to the processes in terms of standardization and efficiency. The position As a Business Analyst at Novo Nordisk, you will: Manage and maintain Pricing system operations to ensure uninterrupted functionality and optimal performance. Oversee user access and permissions, ensuring tailored access levels for different user roles. Address and resolve user queries and issues related to system functionalities and access. Develop and maintain comprehensive documentation for system operations, user access, and issue resolution processes. Utilise advanced Excel functions to conduct analysis of large datasets. Ensure the integrity of databases, implementing robust measures for data accuracy and reliability. Develop and execute data validation processes to uphold the accuracy and dependability of data. Utilise diverse data analysis tools and systems to extract, transform, and load data for reporting and analytical purposes. Create trackers and provide insights on pricing performance. Understand the product portfolio of Novo Nordisk and competitors. Develop and design solutions to meet project requirements, potentially in the form of an Excel-based model/dashboard, report, or presentation. Maintain regular communication with internal and external stakeholders to understand business needs and deliver outcomes. Be the technical expert of the team and the point of contact for all such queries. Support ad-hoc tasks/projects. Qualifications We are looking for a candidate with the following qualifications: A Master’s Degree (preferably within a quantitative/analytical/IT discipline) from a well-recognised institute. 4-6 years of experience working in a technical/analytical data management role, preferably in the Pharma industry. Proficiency in advanced Excel functionalities for data analysis and reporting. Strong understanding of database management and proficient in data validation techniques. Essential SQL skills – ability to perform queries, filtering, and data extraction. Essential VBA skills – ability to understand, maintain, and create low-to-medium complexity macros. Proficient in data visualisation using Power BI & Excel. Good academic track records and grades. Ability to translate business problems into the most efficient and effective analysis plan; execute the analysis including data pull, data preparation, data validation, and convert them to insights. Ability to collaborate and communicate with different stakeholders, primarily with internal stakeholders, customers, vendors, consultants, and project teams. Strong strategic and analytical capabilities, with demonstrated experience in analysing complex situations, collecting data, and effectively synthesising the analytics/data. Solid project management and relationship-building skills to overcome complex and multidimensional business challenges. Working at Novo Nordisk Novo Nordisk is a leading global healthcare company with a 100-year legacy of driving change to defeat serious chronic diseases. Building on our strong legacy within diabetes, we are growing massively and expanding our commitment, reaching millions around the world and impacting more than 40 million patient lives daily. All of this has made us one of the 20 most valuable companies in the world by market cap. Our success relies on the joint potential and collaboration of our more than 72,000 employees around the world. We recognise the importance of the unique skills and perspectives our people bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk, we’re working toward something bigger than ourselves, and it’s a collective effort. Join us! Together, we go further. Together, we’re life changing. Contact To submit your application, please upload your CV online (click on Apply and follow the instructions). Apply Now! Deadline 8th August 2025. Disclaimer It has been brought to our attention that there have recently been instances of fraudulent job offers, purporting to be from Novo Nordisk and/or its affiliate companies. The individuals or organizations sending these false employment offers may pose as a Novo Nordisk recruiter or representative and request personal information, purchasing of equipment or funds to further the recruitment process or offer paid trainings. Be advised that Novo Nordisk does not extend unsolicited employment offers. Furthermore, Novo Nordisk does not charge prospective employees with fees or make requests for funding as a part of the recruitment process. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. We’re not your typical healthcare company. In a modern world of quick fixes, we focus on solutions to defeat serious chronic diseases and promote long-term health. Our unordinary mindset is at the heart of everything we do. We seek out new ideas and put people first as we push the boundaries of science, make healthcare more accessible, and treat, prevent, and even cure diseases that affect millions of lives. Because it takes an unordinary approach to drive real, lasting change in health.

Key Responsibilities: · Map and align test lists from partnered diagnostic centers to our permanent master directory. · Verify test codes, names, and specifications for accuracy and integrity. · Coordinate with the Lab Networks team to resolve discrepancies. · Maintain and update mapping documentation. · Generate and analyze Excel-based reports. · Support general lab data operations. Required Skills & Qualifications: · Bachelor’s degree in Life Sciences, Biotechnology, or related fields (preferred). · Minimum of 2 years of experience in diagnostics centers as a Senior Lab Technician. · Strong proficiency in Excel (sorting, filtering, formulas). · High attention to detail and analytical thinking. · Good communication and documentation skills. · Ability to work both independently and in a team environment.

About the company Treebo Hospitality Ventures is India’s most loved brand and one of the largest chains in the budget segment of hospitality. With a network of 850+ hotels across 120+ cities, Treebo offers travellers the unprecedented value proposition of high-quality stays at affordable prices wherever they go. We are proud of putting dignity back into budget travel where earlier the traveller was forced to contend with poor quality and hygiene. Treebo Hospitality Ventures masterfully combines engineering prowess with deep hospitality expertise. Our operational ethos is clear and focused from Treebo Club, an innovative distribution platform and extremely rewarding loyalty programme to Hotel Superhero, a cutting-edge SaaS solution and a comprehensive hotel management software. With a strong technological foundation and a passion for hospitality, THV aims to deliver exceptional experiences across our diverse portfolio. Our range of brands—Itsy Hotels, Treebo, Treebo Premium and Medalio—provides a symphony of choices that blend quality, comfort and affordability. Treebo is a Great Places to Work certified organisation. We take immense pride in our culture which is built on a strong foundation of 7 values. Some of these values include - “Exhibit Owner Mindset” and “Have the humility and hunger to learn and help learn”, amongst others. We strongly believe in offering our people - “Treebs”, as they are called - unmatched opportunities to learn and grow. If you’re looking to work at a place that is built on strong fundamentals of business and professional conduct, Treebo is the place for you. About The Role: We are looking for a dynamic digital marketing professional to spearhead our mobile app marketing efforts. This role involves crafting and executing data-driven strategies to acquire new users and engage existing ones, optimizing app store listings through ASO experiments, and driving performance across key marketing channels such as Google AdWords, Facebook, and affiliates. The ideal candidate will have 4-6 years of experience in app marketing, hands-on expertise with tools like Appsflyer and MoEngage, and a proven track record in scaling app growth through creative campaigns and performance-driven initiatives. Key Responsibilities: ● Creating and driving marketing plan for acquiring new and engaging existing users through data-driven mobile app user acquisition and growth strategies ● Manage & improve core KPIs of App marketing including campaigns on Google AdWords, Facebook ● Scale the affiliate channel for App installs by filtering out affiliates generating fraud installs ● Drive end-to-end ASO levers & competition monitoring ● Measure and report performance of all app marketing campaigns, and assess against goals (ROI and KPIs) ● Gaining a deep understanding of end users through research and analytics(segmentation, behavior analysis etc.) ● Developing a communications strategy to effectively nurture and grow our addressable end-user base ● Optimizing Treebo's app store listings, and driving new user acquisition through organic with ASO experiments What are we looking for: ● 4-6 years of digital marketing experience, with focus on mobile app marketing ● Hands-on knowledge of App marketing tools including Appsflyer, MoEngage including deep understanding of install & booking attribution models ● Proven track record of implementing ASO strategies & significantly moving organic App base ● Hands-on experience & understanding of marketing automation tools like MoEngage ● Good at a creative & content generation process to drive quality creatives ● Well-versed in performance marketing, conversion, and online customer acquisition ● Up-to-date with the latest trends and best practices in online marketing and measurement ● Knowledge of social media and digital best practices for acquiring and nurturing mobile users.