Supervisor Housekeeping in India

Opportunity Overview: We are seeking a versatile and highly skilled Claims Auditor to join our dynamic Payment Integrity team. This critical role involves conducting comprehensive professional and facility coding reviews—encompassing both outpatient/professional and inpatient claims—to ensure the accuracy of code assignment, DRG/reimbursement, and to maximize overpayment identification. If you possess a CPC and/or CCS credential, expert knowledge of CPT, HCPCS, and ICD-10-CM/PCS coding guidelines, and a passion for deep analytical auditing, you will be instrumental in supporting our commitment to accurate reimbursement solutions. This opportunity requires a self-motivated individual who thrives on precision, compliance, and continuous learning in a high-growth environment What you’ll do: Conduct comprehensive coding reviews to ensure accuracy in code assignment and reimbursement. Conduct comprehensive outpatient and professional coding reviews to ensure accuracy in code assignment and reimbursement. Apply expert knowledge of coding guidelines and utilize industry-leading tools to maximize overpayment identifications. Conduct ambulatory surgery center, emergency room, observation and infusion coding reviews. Apply expert knowledge of coding guidelines and utilize industry-leading tools to maximize overpayment identifications. Craft clear, concise, and well-supported audit findings, backed by AHA Coding Clinic Guidelines and ICD-10-CM/PCS regulations. Utilize advanced DRG encoder tools (such as 3M, Webstrat) to drive efficiency and accuracy in audits. Meet or exceed company quality and productivity standards, including strong uphold rates for appeals. Stay ahead of industry trends, coding updates, and compliance regulations to maintain expert-level knowledge. Adhere to HIPAA and company policies and procedures to ensure data security and regulatory compliance. Maintain and apply superior knowledge of changes and updates to coding guidelines, reimbursement trends, and

Role Title: Key Account Manager Job Description As a Key Account Manager , we are looking for passionate individuals who can maintain and enhance existing client relationships through cross-selling and up-selling our services, while also creating new business opportunities wherever possible. Key Responsibilities The Key Account Manager should be able to: Develop a good understanding of customers' needs, their industry, competitors, and market pressures, and incorporate these insights into compelling value propositions. Communicate effectively and build strong relationships with decision-makers at every level, earning their trust and becoming a valued advisor on business, technology, and operational challenges. Open new buyer relationships and create new revenue streams within customer organizations by identifying contacts and initiating discussions. Conduct Quarterly Business Reviews (QBRs), understand customer challenges, ensure customer satisfaction (CSAT), and partner with delivery managers and technical teams to maintain a seamless client relationship. Forecast revenue and resource requirements for customer engagements in a timely manner to ensure a superior customer experience. Spearhead pitches and new business development initiatives within the assigned portfolio. Write proposals and manage deals through to contract closure. Maintain close oversight of all work in progress. Manage and grow Fortune 1000 (F1000) accounts. Exposure to the BFSI (Banking, Financial Services, and Insurance) domain would be an added advantage. Skills and Qualifications Positive attitude, quick thinker, and strong problem-solver with the flexibility and resilience to operate independently in high-pressure situations. Strong interpersonal skills and excellent written and verbal communication in English. Prior successful experience in sales/account management within enterprise software services. Experience in Analytics & Big Data services would be an added advantage. Strong solutio

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. We are building one of India’s largest commercial video data collection networks and looking for highly driven field operators who can build teams, close business deals, and drive on-ground operations. This is not a desk job. This role is for hustlers who can operate independently, unlock locations, manage people, and deliver results. What You’ll Do Visit factories, shops, workshops, kitchens, warehouses, garages, and other commercial businesses Convince business owners to allow commercial video data collection Build relationships and close partnerships Hire and manage Field Officers (FOs) and Data Collectors (DCs) Ensure daily recordings happen smoothly at business locations Drive collection targets, team productivity, and output quality Expand into new categories and new areas Who Should Apply Field sales executives Business development executives Vendor onboarding professionals Operations hustlers Team leaders who can manage field staff What We’re Looking For Strong communication and convincing skills Ability to hire and manage teams on the ground Ownership mindset and high energy Comfortable with travel and field work Ability to work independently without constant supervision Earnings & Growth 💰 Earn ₹60,000 to ₹4,00,000/month based on: Hours delivered Team performance Categories unlocked Operational consistency High performers can grow fast and handle multiple cities/regions. Work Details Location: Across India Mode: Field + Operations High travel involved Success in This Role You will succeed

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . Role Overview The Commercial Field Sales is responsible for onboarding commercial businesses onto the Instawork data collection platform, managing a team of Field Officers, and ensuring maximum recording hours across all active locations. The role combines business development, team management, and operational execution. A Data Captain has the opportunity to earn incentives up to ₹1,00,000 per week. Key Responsibilities Identify, pitch, and onboard commercial businesses (retail shops, kitchens, construction sites, workshops) for egocentric video data collection Ensure weekly hours targets are met across all onboarded businesses to hit slab bonuses Manage Field Officers who are stationed at business locations to supervise recording Coordinate device allocation with the office — ensure the right number of devices reach each location Maintain the business pipeline in the tracking sheet (Commercial Conversion Responses) Ensure business owners understand the p

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Team Lead - Abstractions JBS Lease Administration (Gurugram) Reporting to: Manager – Abstractions, Lease Administration Key Stakeholders: Account Managers, Transition Manager, Clients/Stakeholders and their teams Direct Reports: Analysts/ Senior Analysts What this job involves: High level of independence Do you work independently without close supervision? We can offer you an exciting role where you can use this passion to enhance your skills and play a key role in de

We are looking for a motivated and detail-oriented CA Article Assistant to join our team. The role offers hands-on training in accounting, auditing, taxation, GST, income tax compliance, and financial reporting under experienced Chartered Accountants. This is an excellent opportunity for aspiring Chartered Accountants to gain practical exposure and develop professional skills in a dynamic work environment. Key Responsibilities •Finalize financial statements, including Balance Sheet and Profit & Loss Accounts. •Manage GST, Income Tax, TDS, and other statutory compliances. •Prepare and file returns, audit reports, and regulatory submissions. •Lead budgeting, forecasting, and financial planning exercises. •Ensure compliance with Companies Act, Accounting Standards, and regulatory frameworks. •Liaise with auditors, financial institutions, and government authorities. •Perform financial analysis and provide actionable insights for management decisions. •Supervise and mentor junior team members, fostering a culture of accuracy and accountability. Required Qualifications & Skills •Qualified Chartered Accountant (CA) from ICAI. •Strong command of Taxation, Audit, and Financial Reporting. •Proficiency in Tally ERP and MS Excel. •Excellent analytical, communication, and interpersonal skills. •Ability to work independently and manage deadlines efficiently. Preferred Candidate Profile •Based in Delhi NCR or willing to relocate. •Self-driven, organized, and results - oriented. •Demonstrates professional ethics and a commitment to continuous learning •Keen to grow within a structured finance and compliance framework.

Job Title: Back Office Executive Position Overview: We are seeking an organized, detail-oriented Back Office Operations Associate to handle essential administrative and operational tasks. In this role, you will support front-facing teams by managing data, maintaining documentation, processing records, and keeping day-to-day administrative workflows running smoothly. Key Responsibilities: • Data Entry & Management: Accurately enter, update, and maintain records, databases, and customer information in company systems. • Document Processing: Review, categorize, and archive incoming files, contracts, invoices, and reports in accordance with company policy. • Workflow Support: Coordinate with sales, customer support, and finance departments to process requests and resolve internal inquiries. • Reporting: Compile daily, weekly, or monthly routine operational reports using spreadsheets and management tools. • Quality Assurance: Inspect data inputs and documents to identify errors, discrepancies, or missing details before finalizing records. • Inventory & Supplies: Monitor administrative supply levels and submit reorders as needed to support general office operations. Requirements: Education & Experience High school diploma or equivalent (associate or bachelor’s degree preferred); 6 Months 2 Years of Back office. Technical Skills Proficiency in Microsoft Office (Excel, Word, Outlook) and standard database management software. Core Competencies Strong attention to detail, excellent time management, and solid written communication. Work Style Ability to work independently with minimal supervision and handle repetitive tasks efficiently. Preferred Female Candidate Working Conditions • Hours: Standard business hours (Monday Saturday). • Timings: 9:30 AM- 6:30 • Salary: Based on current drawn About INTECH Insurance Surveyors & Loss Assessors Founded in 1994, INTECH is an IRDAI-licensed leader in independent loss assessment, risk inspection, and property valuation across In

About Team : The Internal Audit team at Paytm comprises seasoned professionals with diverse skill sets and experience across different verticals like process audits, technology audits and forensics. The team focuses on implementing the approved audit plan, ensuring delivery of qualitative audits and conducting internal / special reviews while leveraging technology & data analytics and gauging key risks across business processes. Manager – Internal Audit (6–8 Years Exp) Role Overview: As a Manager, you will be a strategic partner to the business. You won’t just be "checking boxes"; you’ll be designing the audit framework for complex ecosystems like UPI, Wallet, and Lending. You will lead teams and interface directly with Senior Leadership. Key Responsibilities ●Audit Strategy: Develop and execute an annual risk-based audit plan focusing on high-growth business units. ● Stakeholder Management: Act as the primary point of contact for Department Heads, explaining risk implications and negotiating remediation plans. ● Process Engineering: Evaluate the effectiveness of internal controls ($ICFR$) and suggest automation to move from manual testing to continuous monitoring. ● Team Leadership: Supervise 2–3 Assistant Managers/Associates, ensuring high-quality documentation and timely delivery. ● Special Investigations: Lead / perform ad-hoc investigations or fraud risk assessments as required. ● Execution: Conduct end-to-end audits of various functions (Operations, HR, Finance, or Tech) under the guidance of the Manager. ● Fieldwork: Perform walkthroughs, test of effectiveness ($ToE$), and document audit findings with clear "Cause and Effect" analysis. ● Cross-Functional Collaboration: Partner with cross-functional teams to gain deep insights into critical business processes, identify risks, and evaluate the adequacy of internal controls. ● Reporting: Prepare and present clear, concise audit reports to senior management and stakeh

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