1299 Filtering Jobs - Page 36

Redefining Ads, E-Commerce and Creator Economy with AI, join the founding team of Renokon to make a positive impact on billions of lives. Role: Senior AI/ML Engineer Location: Kolkata (Onsite) CTC: ₹12 LPA - ₹22 LPA (Team Leader in 5 Years with ₹50 LPA+ CTC) CTC = 60% Cash + 40% Equity—structured for exponential upside as Renokon redefines AI-driven commerce. Equity vested over 4 years. It's a once in a lifetime opportunity to join Renokon's founding team. We are assembling a team of 7 world-class engineers to scale Renokon at lightning speed. Rupayan Das - Founder and CEO. Renokon is rewriting the rules of e-commerce and creator economy with AI. We're fixing the broken link between attention and action—seamlessly integrating AI-powered personalized voice-first sales agent, immersive shopping, and native monetization for creators. We’re looking for world-class Full Stack AI Engineer to join our team and help scale Renokon’s vision. If you're someone who thrives on building at scale, solving tough engineering challenges, and pushing the limits of AI-powered commerce, this is the place for you. Renokon's vision: To empower 200,000 Indian content creators to earn ₹10L/year by 2035. To generate $20B in annual products sale for our brand partners by 2035. Who are we looking for? 8+ years of hands-on experience. Comfortable working in Kolkata (onsite). Strong understanding of AI-driven recommendations, search intelligence, and real-time infrastructure. Passion for creator monetization, commerce, and revolutionizing digital ads. What You’ll Work On – Build the world's first voice-native sales agent for voice-based shopping. Optimize AI-powered search & recommendations with ElasticSearch + NLP models (BERT-based semantic search). Develop high-throughput ad bidding engines using XGBoost, DeepFM & RL-based bidding agents to maximize ad conversions. Build trust-driven commerce scoring models with Graph ML, Trust Rank & Behavioral Scoring (XGBoost) to ensure high-quality transactions. Develop creator scoring models using multi-factor ML models (virality, engagement, sales) to drive optimal brand-creator matching. Train NLP-powered content discovery systems leveraging GPT-4 Turbo & custom LLMs via Hugging Face for AI-driven recommendations. Ensure content moderation with CV + NLP models (HuggingFace + Perspective API) to maintain platform integrity. Develop LLM Co-Pilot fine-tuned on top creators, ad campaigns, and real-world commerce insights to assist brands in optimizing ads. Implement advanced A/B testing & experimentation using LaunchDarkly / Unleash to refine AI models based on user behavior. Optimize e-commerce personalization through Neural Collaborative Filtering (NCF) & DeepFM-based recommendation engines. Preferred Educational Qualification: Master’s degree or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field (preferred but not mandatory) . Candidates with strong applied ML experience and contributions to open-source AI projects can be considered without a PhD. Why join us? Be part of building the trillion-dollar AI-driven commerce platform from scratch. Solve real-world challenges at scale—from creator monetization to ad conversion. Work alongside the founder, Rupayan Das and a highly skilled team, the backbone of Renokon. Shape the digital future in India. If you are a world-class engineer, you are extremely good at what you do and you’re ready to build something that will impact millions of people lives — join our founding team. Let’s build the future together. Show more Show less

Job Purpose - Understand Business Processes & Data, Model the requirements to create Analytics Solutions Build Predictive Models & Recommendation Engines using state-of-the-art Machine Learning Techniques to aid Business Processes increase efficiency and effectiveness in their outcomes. Churn and Analyze the data to discover actionable insights & patterns for Business use. Assist the Function Head in Data Preparation & Modelling Tasks as required JobOutline - Collaborate with Business and IT teams for understanding and collecting data. Collect, collate, clean, process and transform large volume(s) of primarily Tabular data (Blend of Numerical, Categorical & some Text). Apply Data Preparation Techniques like Data Filtering, Joining, Cleaning, Missing Value imputation, Feature Extraction, Feature Engineering, Feature Selection, Dimensionality Reduction, Feature Scaling, Variable Transformation etc Apply as required: basic Algorithms like Linear Regression, Logistic Regression, ANOVA, KNN, Clustering (K-Means, Density, Hierarchical etc), SVM, Naïve Bayes, Decision Trees, Principal Components, Association Rule Mining etc. Apply as required: Ensemble Modeling algorithms like Bagging (Random Forest), Boosting (GBM, LGBM, XGBoost, CatBoost), Time-Series Modelling and other state-of-the-art Algorithms. Apply as required: Modelling concepts like Hyperparameter Optimization, Feature Selection, Stacking, Blending, K-Fold Cross-Validation, Bias & Variance, Overfitting etc Build Predictive Models using state-of-the-art Machine Learning techniques for Regression, Classification, Clustering, Recommendation Engines etc Perform Advance Analytics of the Business Data to find hidden patterns & insights, explanatory causes, and make strategic business recommendations based on the same Knowledge /Education BE /B. Tech – Any Stream Skills Should have strong expertise in Python libraries like Pandas & Scikit Learn along with ability to code according to requirements stated in the Job Outline above Experience of Python Editors like PyCharm and/or Jupyter Notebooks (or other editors) is a must. Ability to organize the code into Modules, Functions and/or Objects is a must Knowledge of using ChatGPT for ML will be preferred. Familiarity with basic SQL for Querying & Excel for Data Analysis is a must. Should understand basics of Statistics like Distributions, Hypothesis Testing, Sampling Techniques etc Work Experience Have an experience of at least 4 years of solving Business Problems through Data Analytics, Data Science and Modelling. Should have experience as a full-time Data Scientist for at least 2 years. Experience of at least 3 Projects in ML Model building, which were used in Production by Business or other clients Skills/Experience Preferred but not compulsory - Familiarity with using ChatGPT, LLMs, Out-of-the Box Models etc for Data Preparation & Model building Kaggle experience. Familiarity with R. Job Interface/Relationships: Internal Work with different Business Teams to build Predictive Models for them External None Key Responsibilities and % Time Spent Data Preparation for Modelling - Data Extraction, Cleaning, Joining & Transformation - 35% Build ML/AI Models for various Business Requirements - 35% Perform Custom Analytics for providing actionable insights to the Business - 20% Assist the Function Head in Data Preparation & Modelling Tasks as required - 10% Any other additional Input - Will not be considered for selection: Familiarity with Deep Learning Algorithms Image Processing & Classification Text Modelling using NLP Techniques Show more Show less

Job details Employment Type: Full-Time Location: Pune, Maharashtra, India Job Category: Information Systems Job Number: WD30237203 Job Description Job Summary: We are seeking a skilled and motivated Operations Analyst - Messaging and Sensei PPM Support (IT Ops Analyst IV) to join our Operations department. The ideal candidate will be responsible for providing support for Exchange Online, messaging services, and Sensei PPM. This role involves assisting in the analysis, design, testing, documentation, and implementation of changes to IT services, solutions, and processes. The Operations Analyst will support multiple standardized or a few complex IT services/processes across various functional areas and locations. Key Responsibilities: Office 365 Services: Provide Level 1 and Level 2 support for Office 365 services, including Exchange Online, Outlook, and other email-related services. Manage user mailbox quotas, support legal discovery, regulatory compliance, and other auditing and reporting activities. Coordinate with JCI configuration of Microsoft ISA firewalls to front-end OWA, Outlook over HTTPS, and SharePoint portal. Provision new user/shared mailboxes in Office 365 and configure resource mailbox options. Handle spam blocking, rules modifications, and email flow-related issues. Resolve Outlook connection issues, calendar issues, and email flow-related issues. Address external users' mail flow issues and Office 365 groups issues. Manage spam filtering, whitelisting domains or IP/senders, and archive email issues. Provide support for ADFS issues and troubleshooting AAD connect errors. Ensure compliance with Office 365 security protocols, including Azure Information Protection, Advanced Threat Protection, and Exchange Online Protection. Set up AAD connect to sync on-premise AD with Azure AD and troubleshoot AAD connect errors. Sensei PPM Support: Provide support for Sensei PPM, including configuration, user support, and troubleshooting. Assist in the setup and management of Sensei PPM projects, including project creation, task assignment, and resource allocation. Monitor and report on project progress, ensuring timely completion of tasks and adherence to project timelines. Provide training and support to users on Sensei PPM functionalities and best practices. Collaborate with project managers and stakeholders to ensure successful project delivery and alignment with business objectives. Specific Sensei PPM Responsibilities: Enable/disable Sensei licenses and apps on Project sites. Manage and monitor Project Online and Sensei PPM solution. Manage PWA site configurations, permissions, and security groups. Enable/disable features on Sensei project sites. Create/update/delete Project Online templates, custom fields, and lookup tables. Manage PDPs (Project Detail Pages) and Project Types. Address requests related to Project Owner, Status Manager changes, and custom fields bulk updates. Address issues related to tasks, schedulers, and timesheet approvals. Archive closed projects. Assist in governance and administration-specific report generation using OData in Excel and Power BI. Perform user tracking, updating PPM Champions and users roster file, and periodical user role & license review and cleanup. Coordinate with Sensei Support Team for product-related issues and document changes in JCI knowledge center. Obtain knowledge on new functionalities or features in Sensei PPM product. Perform Project Online configuration backup and replicate configuration to selected sites using FluentPro tool. Qualifications: University degree in a relevant field or equivalent combination of education and experience. 3-4 years of experience in IT operations, with a focus on email, Exchange, web mail, messaging, and related services. Strong analytical, design, testing, documentation, and implementation skills. Excellent problem-solving abilities and experience in resolving medium complexity items. Ability to support multiple standardized or a few complex IT services/processes across various functional areas and locations. Familiarity with Office 365 services, Exchange Online, Outlook, and other email-related services. Knowledge of Office 365 security protocols and AAD connect. Strong communication and collaboration skills. Additional Information: No direct

- 3+ years of data scientist experience - 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an applied environment Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. One of the key focus areas is Traffic Quality where we endeavour to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides industry leading traffic filtering leveraging GenAI and state-of-the-art deep learning techniques. Our systems preserve advertiser trust and saves them hundreds of millions of dollars of wasted spend. A Data Scientist is responsible for delivering deep data-driven analyses with insights that drive the business. They would use a combination of analytics, data visualization and machine learning to identify gaps in current solutions as well as prototype new algorithms that close the gaps. The ideal candidate should have strong experience in dive deep analytics and data visualization, thorough knowledge of statistical techniques and strong breadth in machine learning. The candidate should also have good programming and design skills to implement machine learnings algorithms in practice on massive unstructured datasets. Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data Experience in a ML or data scientist role with a large technology company Experience in Computational Advertising Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Selected Intern's Day-to-day Responsibilities Include Maintaining the master database in Excel & CRM software Working on data mining & data filtration Using promotional software for bulk SMS & emailing Working on the CRM software Working on maintenance & filtering of the lead generation data Searching for a new database that includes cosmetics and personal care products About Company: Fusion Beauty is a premier trade show company based in New Delhi that specializes in organizing international trade shows pan-India. We have been doing exhibitions in the B2B segment with a portfolio comprising beauty & cosmetic manufacturing-related industries across India since 2010. A few of our annual exhibitions, Cosmo Tech Expo and Beauty & Spa Expo, are leading international trade shows organized in India. Show more Show less

Selected Intern's Day-to-day Responsibilities Include Maintaining the master database in Excel & CRM software Working on data mining & data filtration Using promotional software for bulk SMS & emailing Working on the CRM software Working on maintenance & filtering of the lead generation data Searching for a new database that includes cosmetics and personal care products About Company: Fusion Beauty is a premier trade show company based in New Delhi that specializes in organizing international trade shows pan-India. We have been doing exhibitions in the B2B segment with a portfolio comprising beauty & cosmetic manufacturing-related industries across India since 2010. A few of our annual exhibitions, Cosmo Tech Expo and Beauty & Spa Expo, are leading international trade shows organized in India. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Financial Crime Operations – Senior The Compliance team at EY GDS partners with other EY offices across the globe to provide an array of compliance solutions to our clients. The team works on short to long term engagements to assist in establishing, maintaining, and reviewing the outputs of business functions and compliance programs. Financial crime risks relating to anti-money laundering (AML), terrorist financing, anti-bribery controls, sanctions compliance and fraud are a high focus for regulated businesses and external scrutiny as regulation and practice continues to evolve. Responsible for developing and overseeing the financial crime and fraud prevention framework, designed to ensure client(s) are compliant, protected from risk and loss from financial crime. The Opportunity As a part of our Global Managed Services Delivery team, you will be working with EY offices across the globe to provide an array of compliance solutions to our clients. The team works on short to long term engagements aiding in establishing, maintaining and reviewing the outputs of business functions and compliance programs. Our Financial Crime Consulting team consists of hundreds of professionals who advise and drive change for the firm’s banking, capital markets, insurance, and asset management clients in Financial Crime. Our Financial Crime Consulting team specializes in several areas, including: Customer screening Payment screening filtering for Sanctions, PEPs and adverse media KYC Remediation Anti-money laundering transaction monitoring Look-back reviews and loan file reviews Compliance testing and FATCA Financial crime risk assessment reviews Key Responsibilities As a Senior in the Financial Crime Compliance team, you will predominantly support the compliance team in the financial crime space. You will help businesses comply with financial crime regulations and adhere to relevant client(s) policies and procedures related to anti- money laundering and counter-terrorist financing. Support the implementation of a robust Compliance Monitoring Program to ensure adherence to bank policies and regulatory guidelines related to Sanctions Screening and other monitoring requirements. Conduct First Line of Defence Surveillance activities for Sanctions (Payments) Screening. Ability to check transactions against various sanctions lists (e.g., OFAC, UN, EU). Proficiency in SWIFT and ACH codes, along with other payment systems such as wire transfers, SEPA, RTGS, card payments, and payment service providers. Support the implementation of the Bank’s Group-wide Compliance strategy within the First Line of Defence to ensure the efficient management of the Sanctions Payment Screening team ensuring vertical alignment and horizontal integration with other interfacing departmental strategies. Measure the appropriateness and screening capabilities of the product platforms with the Surveillance systems of the Bank. Multi-task, learn on the job and work under pressure to meet strict deadlines in a fast-paced environment Day to day coordination of project and related activities driven by the compliance function Guide and oversee junior compliance specialists utilized in compliance activities Preparing MIS for senior management and providing advisory support to business units Build professional relationship within the firm as well as with the clients and must participate in business development activities Support the implementation of Internal Audit, Regulatory Compliance and Group Compliance SLOD recommendations for findings pertaining to Sanctions Payment Screening. Seek to understand the overall process and objective of the project Demonstrate integrity, respect and be able to work independently or collaboratively with teams as may be required Devising process documentation and translating complex processes into easy-to-follow instructions Coordinating efforts with internal stakeholders as appropriate Demonstrate an application & solution-based approach to problem solving Take ownership and initiatives to help improve the status quo Skills And Attributes For Success Experience in the design, development, and implementation of internal controls for financial services business processes Anticipate and identify engagement related risks and escalate issues as appropriate Exhibit analytical skills and attention to detail while maintaining a holistic view and logical thinking Actively establish client (process owner/functional heads) and internal relationships Prior consulting experience is preferred To qualify for the role 4-8 years of experience in Financial Crime Risk Management in AML – KYC, Sanction Screening, transaction monitoring, and regulatory reporting. Strong understanding of the banking industry, its products, and services. Strong academic background with an MBA/Master’s degree Strong presentation skills and proficiency in the use of PowerPoint, Word and Excel Have effective project management and teamwork skills, and the ability to work under pressure A good understanding of monitoring and control testing tools and technique’s ability in line with the Bank’s defined control testing and monitoring objectives. Support the business lines in extending their products by way of reviewing and screening their clients’ transactions with regard to the Sanctions and overall AML/ CTF risks associated. Willing to work in shifts, if required Need to work from office Willing to work on Indian Holidays as per requirement Manage multiple competing priorities and consistently deliver results within strict deadlines Subject matter knowledge to address the process concerns, floor queries and coach & mentor AML analysts. Willing to travel, within the country and internationally as required Availability to work on Indian holidays and/or weekends as needed. Ideally, you’ll also have Good communication skills Strong interpersonal and teaming skills What Working At EY Offers Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up? Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 400 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins. A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions . We in the Insights Team are responsible for SMS Categorization, Fraud detection and other Smart SMS features within the Truecaller app. The OTP & bank notifications, bill & travel reminder alerts are some examples of the Smart SMS features. The team has developed a patented offline text parser that powers all these features and the team is also exploring cutting edge technologies like LLM to enhance the Smart SMS features. The team’s mission is to become the World’s most loved and trusted SMS app which is aligned with Truecaller’s vision to make communication safe and efficient. Smart SMS is used by over 90M users every day. As a Senior Data Scientist, you will be responsible for collecting, organizing, analyzing, and interpreting Truecaller data with a focus on NLP. In this role, you will be pivotal in advancing our work with large language models and on-device models across diverse regions. Your expertise will enhance our natural language processing, machine learning, and predictive analytics capabilities. What you bring in: 5+ years of experience in designing, developing, and deploying ML models at scale, with a focus on NLP-driven solutions. Strong background in Natural Language Processing (NLP), including text classification, entity recognition, language modeling, and transformer-based architectures. Experience in building and deploying models at scale, handling millions of messages efficiently while maintaining performance and accuracy. Also working with on-device models. Ability to not only build ML models but also take ownership of deploying them into production, ensuring scalability, reliability, and monitoring. Knowledge of anomaly detection, adversarial ML techniques, and risk modeling to identify and prevent spam and fraudulent messaging activities. Strong ability to take ML models from research and experimentation to production, working closely with ML engineers and data engineers. Expertise in machine learning libraries such as TensorFlow, PyTorch, pandas and Scikit-learn, along with NLP-specific tools like Hugging Face Transformers, spaCy with experience in TFlife, ONNX. Hands-on experience fine-tuning LLMs including transformer-based architectures (BERT, GPT, LLaMA, T5, etc.) for domain-specific applications, including knowledge distillation, quantization, and model compression for efficiency. Strong ability to design, refine, and optimize prompts for LLM-based applications, ensuring high-quality responses and reduced model hallucinations. Ability to leverage data driven decision by experimentation, and statistical analysis to improve models and business outcomes. Strong understanding of designing, testing, and optimizing prompts for LLM-based applications to improve model accuracy and efficiency. Programming knowledge in at least one language, such as Python or R. Preferably python. Expert knowledge of machine learning algorithms. Familiarity with database modelling and data warehousing principles with a working knowledge of SQL Experience in building and optimizing large-scale data processing systems using Spark/PySpark Strong ability to work cross-functionally with engineers, product managers, and business stakeholders to align ML solutions with company objectives. The impact you will create: Take a loosely defined business problem and break it into tractable data problems. For each data problem, clearly articulate the value of solving it, its impact, and its complexity. Collaborate with Product and Engineering to scope, design, and implement systems that solve complex business problems ensuring they are delivered on time and within scope. Design, develop, and optimize state-of-the-art NLP models for large-scale message classification, fraud detection, and spam filtering, impacting millions of users globally. Take full ownership of ML model development, deployment, and monitoring, ensuring models are production-ready, scalable, and cost-efficient. Lead data science projects from ideation to deployment, ensuring alignment with business objectives and timelines. Manage and analyze large datasets collected from multiple countries, ensuring data integrity and consistency. Stay updated on industry best practices and emerging technologies to drive innovation within the Data Team. You work collaboratively across systems and teams to solve user and business problems. You are expected to help define success and design and build the systems to achieve it. To work with the Product to decide on priorities and set direction, design solutions, and help the team implement them. It would be great if you also have: Understanding of Conversational AI Deploying NLP models in production Working knowledge of GCP components Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like your dream job? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. This position is based in Bangalore, India. We only accept applications in English . What we offer: A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment. A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance. Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges. Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages. In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc. There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you. 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Description The Global Solutions and Risk Compliance (GSRC) organization is a component of Amazon's operations, dedicated to ensuring the compliance of its products and services worldwide. GSRC's core mission is to keep customers, partners, and associates safe while protecting the company from legal and regulatory risks. With a diverse global team spanning across India, China, Poland, Romania, Netherlands, Jordan, Philippines and Costa Rica, GSRC partners with its stakeholders to classify products and ensure regulatory and legal compliance for product listings. GSRC raises the bar on quality by implementing operational changes matching the everchanging regulatory space. The team designs global, consistent, and scalable solutions and prioritize a blend between technology-driven and human decision-making processes. GSRC believes that innovation thrives on diversity, fostering an inclusive and equitable culture that empowers employees with opportunities for learning and development. Key job responsibilities As a Senior Compliance Associate, your responsibility is reviewing the latest product information as per Standard Operations Procedures (SOP) and cross-checking it against the relevant regulatory documentation. Using various Amazon-specific tools and systems you classify the products to ensure they meet the necessary compliance requirements for availability on Amazon. Throughout the day, you work closely with your manager and the Process Experts and address any deviations from standard SOPs, seeking their guidance when necessary. You maintain detailed records of your assigned tasks and utilize standardized reports to prioritize your work, ensuring you meet Quality, Productivity and Service Level Agreement targets. You may identify opportunities for improvement and collaborate with partner teams to explore ways to reduce manual effort, such as automating reports using Excel queries. You share feedback on the team's SOPs, contributing to the ongoing refinement of the operational processes. You participate in knowledge-sharing sessions, contributing with your expertise and learnings. As a mentor, you may support peers by answering their queries and providing process-level training. Required Skills Ability to use Microsoft Excel tool as per role requirements (filtering and sorting in data sets, cell referencing, pivot tables, data validation, etc.) Basic understanding of SQL, can self-service defined queries and make simple changes to retrieve data from a database Knowledgeable in Customer Relationship Management tools, managing customer data and tracking interactions Attention to detail and ability to analyze and identify patterns across data sets and information Problem-solving skills, with the ability to find solutions through logic, intuition, creativity, and design thinking Commitment to investigation, research, and diving deep to seek facts Ability to understand, interpret, critique, analyses and communicate data About The Team Amazon is an E-commerce and Cloud Computing company with headquarters in Seattle, Washington. Since 1995, Amazon has focused on being “the world’s most customer centric company.” Our customers are worldwide, and include not just consumers, but also our sellers and vendors (selling partners). World-class retail brands and individual sellers increase their sales and reach new customers by leveraging the power of the Amazon e-commerce platform. To meet our selling partners’ needs, our smart, diverse, customer-obsessed employees are constantly innovating and building on new ideas. The Operational Risk Compliance (ORC) organization exists to keep our customers and partners safe, protect associates, and ensure legal and regulatory compliance. We coordinate the aspects of product transactions that are regulated (distribution, shipping, sale, and import/export). Global Solutions and Risk Compliance (GSRC) is the operational arm of the ORC organization. This involves analyzing product import documentation and flagging hazardous risks. We are also responsible for keeping Amazon customers safe and informed by coordinating actions around worldwide program teams to classify products and ensure Amazon’s product listings follow regulatory and legal compliance guidelines. These actions include removing products from the site and from our warehouses, and contacting customers with pertinent sustainability information. The ORC team partners with GSRC supports regulatory compliance requirements for Amazon’s worldwide programs such as Dangerous Goods, Chemical Safety Compliance, Global Trade Services, Transport Risk Compliance, Sustainability, Extended Producer Responsibility and Food Safety. GSRC has offices across India, China, Poland, Romania, Jordan, Philippines and Costa Rica and supports compliance related needs for worldwide Amazon marketplaces. Basic Qualifications Bachelor degree in Business, Finance, Engineering or similar fields English B2+ proficiency in verbal and written communication Preferred Qualifications Knowledge of consumer product compliance processes and regulations Experience in regulatory compliance management with government agencies 2+ year work experience in Business Process Outsourcing in any of the following domains: accounting, regulatory compliance, payment processing, IT services, human resources, quality assurance Advanced Excel skills (VBA) Knowledge of database querying (SQL) Experience as a quality auditor in retail chain management, Fast Moving Consumer Goods company, or corporate role Experience with data analysis in quantitative fields and building data and decision support systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka - A66 Job ID: A2859267 Show more Show less

Hiring for Head - Executive Office Associate for leading Diamond Manufacturing Company Location: Mumbai CTC: Upto 19LPA We’re looking for a high-agency operator to work directly with our CEO—part gatekeeper, part fixer, part partner. You’ll be the CEO’s closest working aide, managing his schedule, driving priorities, and making sure critical things get done - often before anyone asks. What You’ll Do ● Own and manage the CEO’s calendar, priorities, and daily rhythm ● Coordinate with internal teams and external stakeholders to keep initiatives on track ● Pre-emptively resolve issues, handle follow-ups, and ensure things don’t fall through the cracks ● Manage travel, meetings, documents, and confidential conversations with discretion ● Act as a force multiplier—removing noise, filtering requests, and ensuring time is spent where it matters ● Occasionally assist with strategic research, vendor negotiations, and personal tasks You’ll Thrive If You Are ● Meticulously organised, yet quick on your feet ● Comfortable managing CXOs, vendors, and teammates ● Emotionally intelligent, with a calm but assertive presence ● Loyal, discreet, and can handle sensitive situations with maturity ● Not looking for limelight—just love making things work smoothly ● Comfortable handling both personal and professional workflows for a busy founder Must-Haves ● 2–5 years of experience in executive assistance, operations, or founder office roles ● Strong communication and written English ● Hands-on with tools like Google Suite, Travel specific tools, ChatGPT etc ● Based in Mumbai or willing to relocate (this is not a remote role) ● Great attention to detail and problem solving Show more Show less

About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role : Senior Computer Vision Engineer Functional Area : AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent. Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location : Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks. Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks. Test and refine models and systems based on real-world data and feedback. Evaluate project requirements, plan and manage the roadmap of a project. Present findings and insights in a clear and concise manner to stakeholders. Collaborate and help to integrate and deploy computer vision systems into broader product architecture. Conduct research to stay updated on emerging computer vision technologies and trends. Automate data preprocessing and annotation processes to streamline workflow efficiency. Maintain comprehensive documentation for algorithms, implementations, and evaluations. Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus. Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNN’s and vision transformers. Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras. Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation. Experience in evaluating computer vision models using relevant metrics and performance indicators. Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc. Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc. Basic knowledge of linear algebra, calculus, and statistics. Strong critical thinking, analytical, and problem-solving skills Self-motivated, quick learner and strong team player with ability to work with minimal supervision. Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

MTS Software System Design Eng. Bangalore, India Engineering 66058 Job Description WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ THE ROLE: AMD is looking for an experienced engineer for an exciting role in Server CPU software development team. This person will be a member of a core team and will work with the latest hardware and software technology. The person will interact closely with key AMD technical experts to ensure the best possible performance and results on AMD platforms. THE PERSON: The successful candidate for this position will be interacting with software and hardware technologists working across many locations. This is a great opportunity to work as a part of highly regarded team to deliver leading edge solutions. KEY RESPONSIBILITIES: Problem solving across multiple software layers, (user space, kernel, applications, libraries) and hardware. Optimization/development of the CPU performance stack (applications, libraries) for AMD server and workstation processors on Windows platform. Analyze and solve performance, scalability bottlenecks when code is running on multi-core, multi-node deployments. Innovate and publish papers, patents and participate in technical conferences to advance AMD technologies. Continuously learn and grow along with evolving X86 server CPU architecture and application landscape. PREFERRED EXPERIENCE: Image processing skills: Color format conversions, Image Filtering and Enhancement operations, Morphological operations, Image transforms and statistical operations. Good understanding in Image Detection, Segmentation, Recognition, Restoration and Medical Imaging. Knowledge in Signal Processing theory like Sampling, Quantization, DFT and FFT. Multi-threaded FFT computing, Distributed FFT computing Very strong data structure and algorithmic skills. Experience in identifying performance bottlenecks, and designing/implementing optimizations to relieve analyzed bottlenecks. Strong Windows internals with experience in software development using C/C++ and debugging skills on multicore systems (preferably using OpenMP). Experience in performance analysis for data center, HPC (High Performance Computing), MPI (Message passing Interface) applications. Experience in x86 (or other architecture based) optimizations. Understanding of Cache sub-system, Instruction Set Architecture, pipeline (for any CPU). Bonus skills: Experience on Intel MKL libraries, Linear Algebra, x86 assembly programming (vector/SIMD), porting source code from Linux to Windows, development on Windows servers Knowledge of one or more CPU Profiling tools (preferably in Windows). ACADEMIC CREDENTIALS: B.Tech/M.Tech/MS/B.E/M.E in computer science or related fields #LI-NS2 AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

A - 1 JOB CONTENT To aid business in their decision making using qualitative, quantitative analysis & automation. Required to perform optimization or statistical methods & interpret findings for taking business decisions. Take up Automation & AI projects for the organisation to improve productivity and expedite decisions. Drive the Digital transformation initiatives and work on Plant IT/OT analytics A - 2 KEY RESPONSIBILITIES 1. Work closely with businesses and executives to propose, develop, implement, test, and evaluate digital and data-based solutions 2. Develop predictive algorithms that analyze data and recommend data-driven solutions 3. Drive data-driven decision-making by gathering, analyzing, and disseminating business insights 4. Develop research and analytical methods for forecasting, modelling, and optimizing operations 5. Conduct data mining, predictive analytics, and ad hoc analysis using R, Python, SQL, Qlik, and other business intelligence software 6. Provide ongoing mentorship and coaching to data science team & maintain the company's data science capabilities by regulary having sessions with the business on possibilities 7. Be conversant with AI technologies for use internally -- for example, conversational AI systems, AI-driven robots, other autonomous machines 8. Ability to manage a team of Data Scientisit, Data Engineers and Developers 9. Adept in machine learning, staistical analysis, approaches for solving business problems such as classification, clustering, regression, statistical inference, anomaly detection, collaborative filtering, natural language processing, experimental design and social networking analysis 10. Work on disruptive technologies such AI, IOT, blockchain, VR/AR etc and harness its potential for enabling businesses to meet their objectives either on cost or revenue side A - 3 QUALIFICATIONS ESSENTIAL BE & Post Graduation in Data Science/Analytics or MS in Statistics/Computer Engineering/Data Science A - 4 EXPERIENCE : ESSENTIAL Experience in using statistical/ data science computer languages (Python & R) & basic SQL - very good programmable skills Knowledge of ML techniques, Deep learning & AI/ Gen AI alogrithims (CART, ANN, NLP, GNN etc) Knowledge of advanced statistical techniques & its application Having worked on various Data Science tool -MS Azure or Amazon Sage maker Exposure to AI, Automation & IOT/Plant IT/OT will be an added advantage Experience: 10+ years in Data Scientists or Analytics function Qualification: MS/ Msc Statistics Job Types: Full-time, Permanent Pay: Up to ₹3,000,000.00 per year Benefits: Provident Fund Schedule: Day shift Work Location: In person

Job Title: Computer Operator Responsibilities: Perform regular system updates and data entries Follow up with internal teams and maintain records Maintain and organize files in Excel Support daily operations as assigned Requirements: Any Graduate or Master’s degree Basic to intermediate computer skills Proficient in MS Excel (data entry, formatting, filtering, etc.) Good communication and follow-up skills Local candidates from Pithampur only Job Types: Full-time, Permanent Schedule: Day shift Language: English (Preferred) Work Location: In person Job Types: Full-time, Permanent Schedule: Day shift Language: English (Preferred) Work Location: In person

Job Title: Computer Operator Responsibilities: Perform regular system updates and data entries Follow up with internal teams and maintain records Maintain and organize files in Excel Support daily operations as assigned Requirements: Any Graduate or Master’s degree Basic to intermediate computer skills Proficient in MS Excel (data entry, formatting, filtering, etc.) Good communication and follow-up skills Local candidates from Pithampur only please share yor resume:-9926903331 Job Types: Full-time, Permanent Language: English (Preferred) Work Location: In person

Bounteous x Accolite is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. Information Security Responsibilities Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.) Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information Senior Network Administrator Maintaining and administering computer networks that are related computing environments including systems software, applications software, hardware, and configurations. Maintain, monitor, and analyses system components to make recommendations regarding network system security. Troubleshooting, diagnosing, and resolving hardware, firmware related to LAN/WAN Networks. Roles And Responsibilities Maximizes performance by troubleshooting network problems and outages and scheduling upgrades. Replacing faulty network hardware components when required. Protecting data, software, and hardware by coordinating, planning, and implementing network security measures. Performing VLAN, IP address, asset auditing and redundancy mock test. Perform technical analysis and design to execute, test, and rollout solutions. Collaborates with network architects/specialist and ISPs on network optimization. Vendor management related to procurement, maintenance, support, and replacement. Provide support to Team members who escalate network related issues up to the network administration group. Remote assistance to the global helpdesk team on basic network related issues. Preferred Qualifications Strong understanding of network infrastructure and network hardware. Strong knowledge of Ethernet standards 802.3, Wireless standards 802.11 and VLAN 802.1q , 802.1x ., 802.1p Strong knowledge of STP, LACP, EtherChannel. Strong knowledge of BGP, OSPF, EIGRP, route redistribution, PBR, PfR routing. Strong knowledge of Next Generation Firewalls and SASE Cloud Firewalls (Web/App Filtering, IDS/IPS, Sandbox, DLP, Zero Trust etc). Knowledge of redundancy protocols HSRP, VRRP, GLBP. Knowledge of RADIUS, SCEP, EAP-TLS, PEAP-MSCHAPv2. Knowledge of passive networks IO ports, cables, rack design. Ability to create accurate network diagrams and documentation for design and planning network communication systems. Ability to quickly learn new or unfamiliar technology and products using documentation and internet resources. Working knowledge of web servers hosting, SSL, DNS, SNMP, TCP/IP & UDP. Working knowledge of Logging & Monitoring with NMS Tools Working knowledge of SSL VPN, Split Tunneling, IPSEC, Route and Policy based VPN. Knowledge of Linux shell, Windows power shell and/or Ansible scripts. Good analytical and problem-solving skills. Understanding of security implications of architecture decisions. 4-5 Years’ relevant experience in Cisco, Meraki, Fortinet, HPE Aruba, Zscaler network products. Certification in any of the above switching, routing, firewall network technologies. Willingness to work in cross time zones. We invite you to subscribe to our monthly and quarterly newsletters to stay up to date with the latest job openings as well as resources and tips for job seekers here . Research shows that women and other underrepresented groups apply only if they meet 100% of the criteria of a job posting. If you have passion and intelligence, and possess a technical knack (even if you’re missing some of the above), we encourage you to apply. Bounteous is focused on promoting an inclusive environment and is proud to be an equal opportunity employer. We celebrate the different viewpoints and experiences our diverse group of team members bring to Bounteous. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. In addition, you have the opportunity to participate in several Team Member Networks, sometimes referred to as employee resource groups (ERGs), that host space with individuals with shared identities, interests, and passions. Our Team Member Networks celebrate communities of color, life as a working parent or caregiver, the 2SLGBTQIA+ community, wellbeing, and more. Regardless of your respective identity, there are various avenues we involve team members in the Bounteous community. Bounteous is willing to sponsor eligible candidates for employment visas. Apply for this job Bounteous x Accolite is proud to be an equal opportunity employer. Bounteous x Accolite does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous x Accolite is willing to sponsor eligible candidates for employment visas. Show more Show less

About Us Established in the year 2000 in the US, we have global offices in the US, India, UK, Australia, Mexico, Vietnam, and Canada, with best-in-class infrastructure and development facilities spread across the globe. We are an end-to-end solution provider in Banking & Financial Services, Telecom, Healthcare, Manufacturing & Energy verticals and have successfully delivered $1 billion worth of projects for more than 20 Fortune 500 companies. Position Name Network Admin L2 Experience 4-6years Location Bangalore/Hyderabad Shift Timings 24x7 rotational shift Job Description NAT, security policy, URL filtering, SSL decrypt, Security zones. Firmware and content updates Panorama management of firewalls/device groups/templates Strong knowledge on Global Protect: Portal ,Gateway ,Security Policy ,HIPs Use AD group in a policy Good Knowledge Of Windows user and machine certificates Server certificates SAML authentication Added Advantage Prisma Access-Basic Azure understanding Competencies Advanced Routing Firewalls & Access Control Layer 2 Technologies Network Performance Network Scripting VPN Technologies Communication Skills INTERPERSONAL SKILLS JOB KNOWLEDGE Planning Skills Key Skills Document procedures, Service Now - monitoring ticket queue, creating CHG tickets, Point of escalation for network and other team members for ticket and architecture issues Soft Skills Communication Qualification Any Bachelors’s Degree Certifications Show more Show less

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages – Python – NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases – RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks – SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud – Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow – CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning – Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches – Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP – Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment – ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications: Master’s degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelor’s degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience: Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition: High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Show more Show less

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Automotive ECU Software Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Vehicle Dynamics Algorithms Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients. Roles & Responsibilities: 1. Develop and implement advanced algorithms using MATLAB, Simulink and Python, focusing on areas such as vehicle dynamics control and ADAS functionalities. 2. Apply knowledge of control theory, including state space analysis, feedback control systems, and optimal control techniques, to algorithm design. 3. Implement Kalman filtering techniques for sensor data fusion and state estimation within control algorithms. 4. Collaborate with engineers and other stakeholders to understand system requirements, define algorithm specifications, and conduct performance evaluations. 5. Participate in code reviews and provide constructive feedback to ensure code quality and adherence to best practices. 6. Document algorithms clearly and concisely, including design rationale, assumptions, and limitations Professional & Technical Skills: 1) Strong experience in developing algorithms using MATLAB/Simulink and Python. 2) Skilled in interpreting signal behavior in time and frequency domains to identify trends, anomalies, and system characteristics. 3) Possesses experience in applying various machine learning algorithms for tasks like classification, regression, and anomaly detection. 4) Experience in pre-processing data, including techniques like data cleaning, normalization, and feature engineering. 5) Proficiency in Kalman filtering techniques for sensor data fusion and state estimation. 6) Excellent problem-solving and analytical skills. Ability to work effectively in a collaborative team environment. Additional Information: 1. The candidate should have a minimum of 5 years of experience in Automotive ECU Software 2. This position is based at our Hyderabad office 3. A 15 years full time education is required Show more Show less

As a core member of the Founder’s Office in an EIR role , you will work directly with the Leadership to drive critical strategic initiatives, solve business challenges, and ensure seamless execution of high-priority projects. This is a high-visibility, high-impact role suited for a sharp generalist who thrives in ambiguity and wants to contribute meaningfully to a company’s growth story. Key Responsibilities : Strategic Planning & Execution Support the founder in defining business strategy, prioritizing initiatives, and translating ideas into actionable plans. Special Projects Lead time-bound cross-functional projects that are critical to the company's growth — from market expansion to process improvements. Decision Support & Analytics Conduct deep-dive analyses, create dashboards, and prepare briefing notes or presentations to facilitate data-backed decision-making. Founder Enablement Manage the founder’s bandwidth by proactively filtering, organizing, and executing on inputs coming from multiple stakeholders. Cross-Functional Leadership Work closely with product, growth, operations, finance, and HR teams to drive alignment and remove blockers. Communication & Stakeholder Management Craft internal and external communications, board decks, and investor updates on behalf of the founder. What are we looking for : 2–4 years of experience in consulting, business strategy, founder’s office, or high-growth startups Strong analytical, problem-solving, and communication skills Comfortable with ambiguity and tight deadlines; highly organized and outcome-driven High emotional intelligence and ability to work with diverse teams Entrepreneurial mindset — proactive, ownership-driven, and low ego Nice to have : Experience working directly with founders or in early-stage startups Exposure to building new projects / products / road map of business verticals Proficiency in tools like Excel, PowerPoint/Google Slides, Notion, and data visualization tools Why Join Us? Work closely with visionary leadership and shape the company’s direction Fast-track career growth through real ownership and learning Be part of a collaborative, ambitious, and purpose-driven team Gain exposure across multiple functions and business domains Show more Show less

Job Summary: Manage and support business planning processes, produce management information and projections, support with business cases, perform and drive continuous analysis and provide recommendations to continuous improvement of business performance. Act as a real partner working closely with the business and the finance team. Key Accountabilities: Support the monthly Business Review process: prepare/review forecast for the region, analyse and prepare reporting, prepare insight for management on business trends, growth projections and efficiency increase possibilities/initiatives Support Finance team in building up an excellent business (performance) understanding, drive follow up of actions and support filtering/reporting the key messages to Sr Mgt addressing priorities. Work with/support the FP&A Manager to continuously drive accountability (‘as if the business is our own’), promote continuous business performance improvements and promote a ‘no surprise’ culture. Promote developing an in-depth understanding of Country’s activities in the areas of revenue generation, cost per activity/service, productivity, capacity and other resource planning, capital expenditure. Drive thorough understanding of the customer base, activity levels and components affecting Country’s growth. Promote market analysis and analysis of associated price developments. Proactively communicating with all disciplines, identify risks and opportunities, educate the business with appropriate communication of significant events. Providing management information and analysis/make proposals to the business owners by collecting data and metrics and compiling the necessary reports. Support/drive a continuous improvement of management information and adjust to the actual business need. Support budgeting and the business planning process, support developing country revenue and Ebitda targets and summarize capital expenditure requirements. Support future growth projections and resource planning. Take part in Cashflow Planning and Treasury Reporting Analyse proposed capital expenditures and make proposals to the management Promote price management of new and existing customers Analyze LVA’s, evaluate sales information, determine strategic pricing options, and offer creative selling solutions to assist in closing the sales process within approved rates of return. Assist in roll out of relevant new financial systems Support Acquisitions. Ensure an up-to-date knowledge of and compliance with Iron Mountain’s policies and procedures. Promote/support strategic planning; drive sense of urgency in (over) delivering short term objectives. Perceiving primarily top-down having a good overview of things, but with a strong eye for and a natural interest in and love for detail Promote a culture of best practice Lead or participate in ad-hoc projects assigned Skills & Experience Minimum 3-5 years experience in the role of Financial Analyst and convincing relevant financial and business experience. Experience with financial accounting and control functions. Experience in BI reporting tools Working in a Global environment Excellent written and verbal communications skills Strong analytical skills Excellent MS Excel/G Sheet skills Show more Show less

Firewall Support (on Call Support) Location: Vadodara, India Office Shift Time: US Shift time Number of Position: 05 This Position Firewall support Level 1 provides excellent customer service for a fast-paced multitasking service desk environment that supports remote access internet VPN products, managed security and network services, Software as a Service Products (SaaS), with high first call resolution. Responsibilities Phone/Chat/Email Support Apply handling processes consistently. Log and track all communications received into the ticketing system. Establish a quality working relationship with a variety of customers. Follow defined standards to resolve a specific set of problems. Follow defined standards to collect and follow up on escalated issues. Escalate issues within the defined standards. 2. Level I Support Research and resolve caller inquiries by utilizing established procedures, user manuals, accessing on-line applications, or interacting with internal and external support groups. Troubleshoot and resolve hardware, software, and communications issues by interacting with application end users, application engineers, system engineers and hardware / software vendors. 3. Continuous Improvement Meet individual metrics for Level 1 Support Engineer Identify and suggest process improvements as they arise. Participate in departmental training activities including training programs in support of new technologies, procedures, and customer service enhancements. 4. Technical Skills Knowledge and experience with network protocols and concepts including SSH, FTP, ICMP, TCPIP (IPv4 & IPv6), Network Address Translation (NAT), SNMP, IPSec, GRE, QoS, and VLANs. Ability to interpret output from network traffic analysis tools such as Ethereal (Wireshark) Effective interpersonal and consulting skills to be used to align customer needs to tactical and strategic solutions. Hands-on experience with Meraki and Fortinet firewalls . Ability to effectively collaborate in a dynamic team environment. Firewall Implementation and Support Installing Managed Network Solutions including Fortinet firewalls. Making changes to firewalls in support of customer’s needs. Solving technical customer issues around firewalls, filtering, IP Networking, Routing, VPNs, and application connectivity. Respond to firewall/network issues on a rotating on-call basis. This will, depending on the situation, may require work outside the traditional work hours, including weekends and holidays, and will require carrying and responding to a cell phone or other contact device, as determined by management. Monitor performance, capacity, and availability of the firewalls on an ongoing basis. Recommend improvements in technologies and practices to increase these metrics. Maintain awareness of and familiarity with trends and new developments in technologies used in, or appropriate for use in, firewall support and operating infrastructure. Work with other technical staff to develop firewall architectures, technologies, and quality assurance policies and procedures. Deliver better than agreed customer SLAs. Firewall and VPN Management Perform incident, problem, and change management process for firewalls according to ITIL standards. Improve customer satisfaction metric, through stable transparent service Qualifications Provide excellent first line customer service. Respond to all chats, emails, and phone calls consistently. Enter all relevant data from customer contact channels into tracking system. Assist with troubleshooting and resolution of all tickets that can be processed from start to finish by level 1 as defined by management. Great interpersonal skills; superior customer service skills; excellent multi-channel communication skills. Works well under pressure with limited supervision while consistently displaying a professional demeanor. Ability to follow processes and escalate issues consistently. Resolve a variety of external technical requests including virtual private networks, protecting data integrity, and assisting the retail industry with the send/receive of proprietary data. Support the technical management team with call data analysis. Experienced in Windows operating systems. Familiar with TCP/IP and networking concepts. High level of ethics and integrity. Scheduling flexibility required. We are an Equal Opportunity Employer Show more Show less

Role: Payroll Specialist - India, UK/Serbia Location: Bangalore Job Description CANDESCENT: Digital that's smart. Experiences that captivate. Candescent is focused on your digital-first future. Candescent embarks on own journey as the standalone company with the most comprehensive independent digital banking platform of its kind in the United States. This transformation is about more than just a new name. It’s about opening new possibilities and illuminating the future of Digital-First Banking. The commitment to excellence is unwavering, and we will continue to pursue commerce and banking innovations that ensure the success of financial institutions and their customers, both consumers and businesses. POSITION SUMMARY The Payroll Analyst will be responsible for end-to-end payroll processing and management across India, the United Kingdom, and Serbia. This role involves ensuring accurate and timely processing of payroll in compliance with local statutory requirements, tax regulations, and company policies. The analyst will coordinate with internal teams, payroll vendors, and external stakeholders to manage monthly payroll cycles, reconciliations, statutory filings, benefits processing, and audits. Additionally, the role includes resolving employee queries, supporting process improvements, and contributing to payroll-related projects and compliance initiatives across multiple geographies. KEY AREAS OF RESPONSIBILITY Payroll Processing – Manage monthly end-to-end payroll processing for all employees in compliance with statutory and organizational policies. Validate input data such as new joiners, exits, attendance, leaves, variable pay, bonuses, and recoveries. Payroll Audits – Perform all necessary reviews and audits to reports produced by outsourced vendors, such us Gross to Net, payment reports, etc. completing appropriate documentation and checklists accurately and timely. Support internal and external audits by providing payroll reports, documentation, and justifications. Statutory Compliance – Ensure accurate and timely compliance with all applicable laws including PF, PT, LWF, and Income Tax (TDS). Prepare and file periodic statutory returns and coordinate with external consultants if needed. Customer Service – provide a consistently high-level of customer service and manage escalated cases and service requests within the SLA requirements. Collaborate with HR/Accounting/Benefits & Compensation/Tax Department and managers/supervisors to ensure that a strong business relationship is maintained. Process Improvements & Documentation – Identify and implement process improvements for better accuracy and efficiency. Maintain SOPs and payroll process documentation to ensure consistency and compliance. Knowledge – knowledge of end-to-end transactions, including highly technical and complex payrolls. Research and find creative solutions to solve payroll issues in an increasingly changing environment. Teamwork – support other team members to mentor and coach. Participate in team and company initiatives to support the “we” mentality vs. “I”. Work collectively as a team to ensure that we meet our monthly metric goals of processing with minimal errors, worked performed with SLA timeframes and positive employee feedback. Perform other job-related duties as assigned. MINIMUM QUALIFICATIONS Bachelor’s degree in finance or related field with 5-8 years of APAC & EMEA end-to-end payroll experience, with companies having 1,000+ employees, preferably utilizing a major ERP system (Deel & GreytHR would be a strong plus). Experience in handling India payroll is a must; managing multiple payrolls (including UK and Serbia) will be an advantage. Intermediate software skill and experience with Microsoft Excel, including pivots, lookups, filtering, and sorting. Fluency in English, verbal and written. Ability to multi-task and re-prioritize on demand. Self-paced, independent worker with a strong sense of accountability. Required minimal supervision. Strong organizational skills and attention to detail PREFERRED QUALIFICATIONS Skills and Specifications: Need to have basic finance knowledge (JV, Recon) Able to develop effective working relationships with various and diverse stakeholders Experience working with Workday payroll and time and attendance and other Vendor payroll systems Exhibit strong project skills with the ability to write business requirements, manage a plan, develop communication plans, capture and work RAID items and hold teams accountable Ability to deliver under tight deadlines, resourceful and solution-oriented Strong organizational and time management skills Team player who is willing to pitch in and help wherever necessary Thrive in a fast-paced environment and ability to operate with flexibility Able to work independently with minimal supervision Strong presentation skills including the ability to successfully represent data and ideas Effective communication skills expressed through conversation, instructing, written memos, written work instructions, and flow charts Ability to gain credibility with local management, influence others and make recommendations for change. Proven track record of consistently meeting goals and objectives Show more Show less

Location Bangalore, Karnataka, 560048 Category Engineering Job Type Full time Job Id 1189506 No Network Security – Senior Software Developer This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Aruba is an HPE Company, and a leading provider of next-generation network access solutions for the mobile enterprise. Helping some of the largest companies in the world modernize their networks to meet the demands of a digital future, Aruba is redefining the “Intelligent Edge” – and creating new customer experiences across intelligent spaces and digital workspaces. Join us redefine what’s next for you. Job Family Definition: Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design. Management Level Definition: Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others. What you’ll do: Responsibilities: We are seeking a senior software engineer – SASE to develop highly secure SD-WAN/SASE products for on-prem and cloud environments. The candidate will analyze customer requirements, propose novel solutions to integrate SASE and SD-WAN technologies, and architect and implement the solution. Aruba and Silver Peak are redefining the "Intelligent Edge" Aruba is creating new customer experiences by building intelligent spaces and digital workspaces - leading next-generation network access solutions for the mobile enterprise. We are focused on campus, branch, mobility, and the IoT to transform businesses with the combined power of compute, context, control, and secure connectivity. We help some of the largest and most exciting companies globally to modernize their networks to meet the demands of a digital future. Ability to work with existing large codebase is essential. Special preference will be given to candidates with strong background in Security, Software Architecture and Performance Engineering. How you’ll make your mark: Architect, Design, and Develop data path subsystems/features in the following areas: SASE – SDWAN, ZTNA, Firewall Web Filtering Proxy Applications (SSL, TCP, DNS) Application Visibility and Control High Availability Framework Access Control List – User and Role based policies for applications and internet access What you need to bring: Education and Experience Required: Bachelor's or Master's degree in Electrical Engineering. Typically 10+ years experience. Knowledge and Skills: Excellent coding skills in C/C++ on Linux platforms. 8 – 12 years of development experience. Strong Software Engineering background including Software Architecture and Performance Engineering. Very good understanding of security technologies like ZTNA, Web Filtering, IDS/IPS and DDoS. Experience in SSL and developing secure software systems including code fixes for vulnerabilities reported Development experience in v4/v6 socket applications Expertise in developing real-time multi-threaded applications on multi-core platforms. Ability to work with existing large code base and re-architect critical data path software modules. Complete ownership, Problem-solving skills and tremendous self-drive Strong written and verbal communication skills Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #aruba Job: Engineering Job Level: TCP_04 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Company Description Sutherland is a global leader in driving business and digital transformation, and exceptional experiences along the entire journey of our client’s engagement with their customers. With over 35 years of experience, we combine deep domain expertise and extensive knowledge in proven optimization with both proprietary and partnered tools and platforms to drive growth, efficiency, and productivity across organizations. Sutherland brings together our people, processes, products and platforms across cognitive artificial intelligence (AI), intelligent automation, advanced analytics and digital services to create unique solutions for the industries that we service. The core values of remaining agile, outside-the-box thinking, uncompromising integrity and flawless execution are key pillars of the company. We serve marque brands across Healthcare, Insurance, Banking and Financial Services, Communications, Media and Entertainment, Technology, Travel and Logistics and Retail. Sutherland has 212 unique and independent inventions associated with several patent grants in critical technologies in the US and UK. Job Description Role Overview: We are looking for a motivated Power BI Reporting / Analytics Specialist to join our team and help transform raw data into actionable insights within the context of SAP implementations. The ideal candidate will have 10+ years of experience in working with SAP, as well as hands-on experience in creating reports, dashboards, and analytics using Power BI. In this role, you will collaborate with SAP functional teams to gather data from various SAP modules and develop business intelligence solutions that empower data-driven decision-making. Key Responsibilities: Data Collection and Integration: Collaborate with SAP functional consultants and business stakeholders to gather and understand data requirements for reporting and analytics. Extract and integrate data from various SAP modules (e.g., SAP FICO, MM, SD, HR) to prepare datasets for reporting and analysis. Work with data engineering teams to ensure clean, accurate, and reliable data pipelines for Power BI reports. Power BI Report Development: Design, develop, and maintain interactive and visually appealing Power BI reports and dashboards based on business requirements. Create custom Power BI visualizations to present key metrics, KPIs, and trends derived from SAP data. Implement drill-down capabilities, dynamic filtering, and other Power BI features to enhance the user experience and provide more granular insights. Data Analysis & Insights: Perform data analysis on SAP data to identify key trends, anomalies, and business performance indicators. Work closely with business users to understand their analytical needs and provide actionable insights using Power BI. Provide ongoing analysis and reporting for continuous monitoring of business performance. Collaborate with SAP Functional Teams: Work closely with SAP functional consultants (e.g., SAP FICO, MM, SD) to ensure accurate extraction of relevant data from SAP systems. Assist in defining data models and ensuring that data from SAP is represented appropriately for reporting and analytics. Support functional teams in implementing data governance processes to ensure data integrity and consistency across reports. Report Optimization and Performance Tuning: Continuously optimize Power BI reports for performance, ensuring fast loading times and efficient data refreshes. Troubleshoot and resolve performance issues in reports or dashboards to maintain smooth user experiences. Implement best practices for report design, data model optimization, and visual consistency. User Support and Training: Provide training and support to end-users, ensuring they understand how to navigate Power BI reports and interpret the data. Create user manuals or documentation for Power BI reports and dashboards, ensuring that business users can independently generate insights. Assist with user feedback, ensuring reports meet their needs and making necessary adjustments. Continuous Improvement: Stay up-to-date with the latest features and capabilities of Power BI, and implement new functionalities to improve the reporting experience. Suggest improvements to existing reporting structures and processes to enhance reporting efficiency and accuracy. Required Skills & Qualifications: Experience: 10+ years of hands-on experience with Power BI, ideally with exposure to SAP data reporting and analytics. Technical Skills: Proficiency in Power BI Desktop, Power BI Service, and DAX (Data Analysis Expressions). Understanding of data extraction techniques (e.g., SAP HANA, SAP BW) and integration with Power BI. Familiarity with SAP modules (FICO, MM, SD, HR) and their data structures. Ability to design and implement effective data models and relationships in Power BI. Data Visualization: Strong skills in creating effective and visually compelling reports and dashboards, ensuring clarity of insights. SQL Skills: Knowledge of SQL for data extraction and transformation purposes. Analytical Skills: Strong analytical mindset, capable of identifying patterns and trends within data to provide actionable insights. Collaboration Skills: Ability to work cross-functionally with SAP teams, business users, and IT teams to ensure the success of reporting initiatives. Communication Skills: Strong verbal and written communication skills, with the ability to present complex data in a simple, user-friendly manner. Preferred Skills: SAP Experience: Exposure to SAP systems and understanding of how data flows within SAP (SAP FICO, MM, SD, etc.) is a plus. Power BI Certification: Certification in Power BI or other relevant BI tools. Data Warehousing Knowledge: Familiarity with data warehousing concepts and the integration of data sources into reporting tools. Advanced Power BI Features: Experience with advanced Power BI features like Power Query, Dataflow, custom visuals, and data transformations. Agile Methodology: Experience working in Agile/Scrum project environments. Additional Information All your information will be kept confidential according to EEO guidelines. Show more Show less