Claims Processing Jobs in Bengaluru

Trade Operations Associate FalconX Location: Bangalore Experience: 4 8 Years Education: Any Graduate About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the complex and fragmented digital asset ecosystem. Our platform enables seamless access, liquidity, and tools for institutional clients to execute strategies from start to scale. Role Overview As a Trade Operations Associate, you will be a key point of contact for trade settlements and operations, ensuring accurate, timely, and compliant processing of trades across internal and external systems. You will collaborate closely with Trading Desk, Product, Customer Success, Treasury, Accounting, Risk, and Compliance teams to deliver a smooth operational workflow in a fast-moving market. Key Responsibilities Handle all incoming counterparty settlement requests within agreed timeframes and manage a portfolio of counterparties. Collaborate with Trading Desk, Product, and Customer Success teams to understand and deliver on client needs. Reconcile trades, transfers, and inventory across internal subsystems and external entities such as banks and custodians. Monitor daily inventory requirements for settlement, lending, and borrowing activities, liaising with Treasury. Support Compliance and Risk teams in designing effective controls in a rapidly evolving regulatory landscape. Adhere to established trade operations processes to ensure regulatory compliance. Provide accurate trade and settlement data to Accounting and ensure timely reporting. Perform reconciliations between internal and external systems, identify breaks, and resolve issues. Continuously improve reconciliation processes, identify gaps, and implement solutions for data integrity. Requirements 4 8 years of experience in a trading firm, hedge fund, or investment bank. Strong self-management skills; comfortable organizing work with checklists and tracking progress. Experience working in fast-paced, high-pressure environments. Ability to multitask, prioritize, and manage critical day-to-day functions. Desire to gain expertise in digital assets such as Bitcoin and Ethereum. Willingness to understand the full lifecycle of institutional crypto trading operations. Serve as the first point of contact for trade settlements and operations. Gain exposure to multiple functions in a complex, dynamic market. Contribute to robust processes that ensure operational accuracy, compliance, and efficiency. Be part of a pioneering team shaping the infrastructure for institutional digital asset trading. Qualification : Any Graduate

General Manager Healthcare RCM Operations Job Category: Management Location: Bangalore Job Overview We are seeking an experienced General Manager Healthcare RCM Operations to lead end-to-end Revenue Cycle Management (RCM) operations across multiple clients. This leadership role is responsible for strategic planning, operational excellence, client management, team leadership, compliance, and financial performance, ensuring efficiency, accuracy, and client satisfaction in all RCM functions. Key Responsibilities Strategic Leadership Drive strategy, planning, and execution across all RCM functions including patient access, billing, coding, charge capture, claims processing, payment posting, AR follow-up, and denial management. Develop and implement initiatives to improve collections, reduce denials, and optimize cash flow. Align operational strategies with client expectations, regulatory compliance, and industry best practices. Operational Excellence Oversee large-scale RCM operations across multiple clients/accounts. Monitor key performance indicators (AR days, clean claim rate, denial rate, net collection rate, etc.) and drive continuous improvement. Implement process automation and digital transformation initiatives to enhance operational efficiency. Client & Stakeholder Management Serve as the primary point of contact for client leadership. Build strong client partnerships, ensuring SLAs, TATs, and quality standards are consistently met or exceeded. Manage escalations and drive resolutions with a client-focused approach. Team Leadership Lead, mentor, and inspire a large team of managers, SMEs, and associates across functions. Hire, train, and develop leadership talent to ensure a strong succession pipeline. Promote employee engagement, retention, and a performance-driven culture. Compliance & Quality Ensure strict adherence to HIPAA, CMS guidelines, and client-specific compliance requirements. Establish and maintain robust internal controls and audit processes. Collaborate with Quality and Training teams to maintain high accuracy and performance standards. Financial Management Own the P&L for assigned accounts and operations. Drive cost optimization initiatives without compromising service quality. Provide accurate financial forecasts, budgets, and performance reports to leadership. Key Skills & Competencies Deep expertise in US healthcare RCM (front-end to back-end). Strong knowledge of payer rules, coding guidelines, and HIPAA compliance. Proven experience in managing large-scale operations (250+ FTEs). Client-facing leadership with the ability to build CXO-level relationships. Data-driven decision-making with strong analytical and problem-solving skills. Experience driving digital transformation and automation (RPA, AI in RCM). Excellent communication, negotiation, and stakeholder management capabilities. Success Metrics Improvement in collections and AR performance. Reduction in denials and operational errors. Achievement of SLA and client satisfaction targets. Strong employee retention and a robust leadership pipeline. Profitability and cost optimization in line with business objectives.

Senior AR Associate Category: Executive | Type: Full-Time | Location: Bangalore Job Overview We are seeking a Senior AR Associate with strong expertise in Accounts Receivable (AR) and denial management. The ideal candidate will handle complex AR scenarios, ensure timely resolution of claims, and maintain high-quality standards while working closely with clients and insurance companies. Key Responsibilities Claims Resolution: Contact insurance companies to clarify denials, underpayments, and other claim-related issues. AR Management: Manage multiple denials, appeals, AR follow-ups, and refiling to ensure timely resolution. Performance Standards: Consistently meet high quality and productivity standards. Client Relations: Understand client requirements and absorb client-specific business rules and medical billing cycles. Communication: Maintain strong communication skills with a neutral accent for professional interactions. Collaboration: Work from the office and collaborate effectively with cross-functional teams. Skills & Competencies Expertise: Thorough knowledge of AR cycles, denial management, and appeals. Analytical Thinking: Strong problem-solving skills and high attention to detail. Adaptability: Ability to adapt to client-specific processes and maintain a proactive work approach. Communication: Excellent verbal and written communication skills.

Service Delivery Executive Department: Unitary Service Location: Bengaluru Job Purpose The Service Delivery Executive is responsible for ensuring high-quality service delivery and achieving revenue targets through effective management of service operations and channel partners. This role focuses on preventive maintenance, complaint resolution, and maintaining a high Customer Satisfaction Index (CSI). Key Responsibilities Complaint Management: Monitor open service complaints and ensure timely closure according to SLAs. Revenue Generation: Achieve financial targets through AMC, spare parts sales, and specialized service offerings. Quality Assurance: Adhere to preventive maintenance schedules and conduct regular service quality audits. Data Management: Maintain accurate customer information and end-user data within the internal systems. Customer Engagement: Drive proactive engagement to resolve concerns and improve the Customer Satisfaction Index (CSI). Partner Operations: Manage invoice processing, defective spare returns, and warranty claims from channel partners. Market Feedback: Collect and report competitor insights and market trends to HQ. Process Implementation: Ensure all channel partners adhere to standard systems and processes for smooth operations. Key Skills & Competencies Strong knowledge of UCPG products and service offerings. Technical expertise in service operations and channel management. Proficiency in vendor and dealer management. Strong negotiation, presentation, and interpersonal skills. Qualifications & Experience Education: Diploma or B.E. in a relevant discipline. Experience: 3 8 years in Service Delivery, Customer Support, or related roles. Qualification : Diploma or B.E. in a relevant discipline

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Lead/Associate Manager Case Processing 1 Location: Bengaluru Employment Type: Full-Time About the Role We are seeking a dynamic and experienced Lead/Associate Manager Case Processing to join our Pharmacovigilance team in Bengaluru. This role requires deep domain knowledge, leadership capability, and hands-on experience in handling Individual Case Safety Reports (ICSRs) across various sources. The ideal candidate will be responsible for managing day-to-day operations, ensuring compliance with global regulatory requirements, and mentoring a team of case processors. Key Responsibilities Operational Oversight Oversee and ensure the timely processing of ICSRs in accordance with SLA/KPI metrics. Allocate tasks effectively across the team to meet project deliverables and workload requirements. Proactively monitor team performance and work closely with team members to resolve operational or domain-related challenges. Risk & Issue Management Identify, escalate, and mitigate risks related to deliverables, compliance, or resourcing. Serve as a point of contact for internal stakeholders and clients regarding operational queries or escalations. Team Leadership & Performance Management Conduct regular performance evaluations, provide constructive feedback, and support career development of team members. Guide and mentor the team and Subject Matter Experts (SMEs) in ICSR processes, compliance standards, and MedDRA coding. Support functional capability development within the team and leadership pipeline. Training & Quality Assurance Conduct process and project-specific training as needed to ensure team competence and readiness. Ensure adherence to quality standards by contributing to quality system documentation, SOPs, and procedural updates. Provide feedback and suggestions to strengthen client/internal workflows and ensure continuous improvement. Process Improvement & Strategic Contribution Suggest and implement process enhancements to improve efficiency, accuracy, and compliance. Contribute to the development of scalable and sustainable pharmacovigilance processes. Collaborate cross-functionally to support strategic goals and business growth initiatives. Required Experience & Knowledge In-depth understanding of ICH-GCP, GVP modules, 21 CFR, and relevant global regulatory requirements. Proven expertise in managing high-volume ICSR workloads, including serious, non-serious, and potentially serious reports. Experience processing ICSRs from diverse sources: spontaneous, literature, solicited, regulatory authorities, and clinical trials. Exposure to therapeutic areas such as rare diseases and oncology is highly desirable. Experience in literature screening and review would be an added advantage. Proficient in MS Office applications (Excel, Word, Outlook, PowerPoint). Candidate Profile Education: Master s degree in Life Sciences, Pharmacy, or Medicine (or higher), aligned with project requirements. Experience: 10 12 years of relevant experience in pharmacovigilance, case processing, or related functions. Strong leadership skills with a proven ability to train, mentor, and manage cross-functional teams. Demonstrated ability to allocate resources, manage competing priorities, and maintain high-quality standards. Proactive, process-driven mindset with a commitment to continuous improvement and regulatory compliance. Work with a global leader in drug safety and pharmacovigilance services. Lead high-performing teams and contribute to the delivery of impactful healthcare solutions. Be part of a collaborative environment that values innovation, learning, and operational excellence. Apply now to lead meaningful work that impacts patient safety around the world. Qualification : Masters degree in Life Sciences, Pharmacy, or Medicine (or higher), aligned with project requirements

Lead Machine Learning Engineer Location: Bangalore | Employment Type: Full-time About the Role We are seeking a talented and driven Lead Machine Learning Engineer to join Avaamo s Product Engineering team. In this role, you will have the opportunity to shape and enhance the core features of our search technology stack, focusing on areas like search ranking models, query understanding, and natural language question answering. What You ll Do Innovate and expand the capabilities of our search stack, including ranking models, query parsing, and NLP-driven question answering. Gain a deep understanding of search usage patterns and user needs, identifying areas for improvement and growth. Design, prototype, and iterate on cutting-edge ML/NLP/Information Retrieval solutions to enhance our search functionality. Develop and optimize an experimentation framework to evaluate and track improvements to the search stack. Write clean, efficient, and maintainable code that is easy to test and scale. Mentor junior engineers, fostering a collaborative learning environment and sharing your expertise. What You Bring (Qualifications) A BS in Computer Science or a related field. 5+ years of hands-on experience in machine learning, NLP, or related fields. Strong analytical and data-driven mindset, with the ability to extract insights and build effective solutions. Experience in recommendation systems, natural language processing, LLMs, applied machine learning, or large-scale search/ranking systems. Key Skills & Qualities Collaborative, customer-focused, and team-oriented, with a willingness to contribute across multiple areas of the product. Proactive, positive, and self-driven, with the ability to take ownership of both small tasks and large features. Proven experience in designing and building complex search/ranking/recommendation systems. Strong proficiency in Python programming. About Avaamo Avaamo is a deep-learning software company that focuses on creating advanced conversational interfaces to solve high-impact problems in the enterprise space. We are at the forefront of AI technologies, working on neural networks, speech synthesis, and deep learning to transform how enterprises engage with conversational computing. Qualification : BS in Computer Science or a related field

Data Engineering Lead Bengaluru | Engineering | Full-Time About Fam (formerly FamPay) Fam is India s first payments app designed for everyone aged 11 and above. FamApp enables seamless online and offline payments through UPI and FamCard. Our mission is to empower over **250 million young Indians** to start their financial journey early, becoming financially aware and confident. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors including Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels like Kunal Shah and Amrish Rao. About the Role We re looking for a visionary **Data Engineering Lead** to take **end-to-end ownership** of Fam s data ecosystem from data ingestion and storage to processing and delivering actionable insights. You ll **define the data strategy and architecture** that supports both batch and **real-time** use cases, ensuring scalability, reliability, and governance across the organization. You will be instrumental in enabling accurate, complete, and trusted data flow that powers business intelligence, analytics, and product decision-making. This role involves **leadership, strategic thinking**, and hands-on problem solving. What You ll Do Own the full data lifecycle: ingestion, organization, storage, processing, and presentation. Define and execute **data architecture and strategy** aligned with operational and analytical goals. Build **scalable, reliable, and observable data systems** supporting batch and near real-time processing. Ensure **data quality, governance, and compliance**, proactively resolving discrepancies. Collaborate with product, engineering, and business teams to define, track, and optimize key metrics. Anticipate data-related challenges and implement preventive solutions. Lead, mentor, and grow the data engineering team, fostering innovation and accountability. Must-Haves 10+ years experience in data engineering, including proven leadership of teams or projects. Expertise designing, building, and scaling end-to-end data pipelines and systems. Deep understanding of the data lifecycle, from ingestion through business reporting. Strong communication skills and ability to collaborate across technical and business teams. Solid knowledge of **data governance, quality assurance, and compliance standards**. Experience with observability and proactive monitoring for data systems. Proficiency in Python and SQL; familiarity with Scala or Java. Hands-on experience with streaming and batch data frameworks. Experience designing large-scale data lakes and warehouses with best practices for schema evolution and partitioning. Strong background with **cloud platforms (AWS, GCP, or Azure)**. Fintech or regulated industry experience is a plus. Good to Have Fintech-specific data experience, including regulatory compliance and reporting. Deployment experience with **real-time analytics** and event-driven architectures. Familiarity with containerization and infrastructure tools like Docker, Kubernetes, Terraform. Knowledge of data observability tools (Monte Carlo, Databand, etc.). Exposure to **ML pipelines** and model deployment. Solve challenging problems at the intersection of big data, real-time processing, and fintech. Lead impactful data initiatives at a rapidly growing startup. Collaborate with a world-class team of engineers, data scientists, and product leaders. Competitive compensation, equity, and benefits. Clear career growth opportunities in leadership and innovation. Perks That Go Beyond the Paycheck Relocation assistance for a smooth move. Free office meals (lunch & dinner). Generous leave policies (birthday, period, parental support, and more). Salary advances and loan policies for financial support. Quarterly rewards, recognition, and referral incentives. Access to the latest gadgets and tools. Comprehensive health insurance with mental health support. Tax benefits like food coupons, phone allowances, and leasing options. Retirement benefits including PF contribution, leave encashment, and gratuity. About FamApp FamApp focuses on financial inclusion for the next generation by offering UPI and card payments to users aged 11+. Our flagship product, FamX, integrates UPI and card payments seamlessly, helping users manage, save, and learn about their finances effortlessly. With over **10 million users**, FamApp is revolutionizing how young Indians transact eliminating the need to carry cash and offering customizable FamX cards with personal doodles for a fun, unique payment experience. Join Our Dynamic Team At Fam, we foster a people-first culture with flexible work schedules, generous leave, comprehensive health benefits, and mental health support. You ll be part of a passionate, talented, and fun team shaping the future of fintech for India s youth.

Senior Quantity Surveyor (Sr. QS Engineer) Location: Bengaluru Qualification: Diploma in Civil Engineering & B.Tech (Civil) Experience: 8+ years Job Description We are seeking a detail-oriented and experienced Senior QS Engineer to manage quantity surveying, estimation, cost control, and billing functions across civil and interior projects. The ideal candidate will have deep knowledge of construction practices, contracts, and financial documentation, with a focus on project profitability and compliance. Key Responsibilities Prepare and review quantity take-offs, cost estimates, and BOQs for civil and interior works. Manage and verify contractor/client bills, RA bills, and final bills. Evaluate project variations, claims, and change orders in coordination with the project team. Ensure timely and accurate billing, invoicing, and cost tracking. Assist in budget preparation, cost planning, and resource allocation. Conduct rate analysis for materials, labor, and subcontractor pricing. Maintain updated records of all project-related commercial documentation. Coordinate with site engineers, project managers, and procurement teams to validate quantities and progress. Support audits, reconciliations, and contractual reviews. Required Skills & Experience Diploma and B.Tech in Civil Engineering. Minimum 8 years of experience in quantity surveying, estimation, and billing in civil/interior or infrastructure projects. Strong understanding of contracts, BOQs, rate analysis, and taxation implications. Proficiency in MS Excel, AutoCAD, and QS software (e.g., CostX, Candy, or similar). Strong analytical, negotiation, and documentation skills. Ability to manage deadlines, multitask, and ensure accuracy under pressure. Qualification : Diploma and B.Tech in Civil Engineering

Account Associate Location: Bangalore Experience: 3 to 5 years Job Description We are seeking a detail-oriented and experienced Account Associate to oversee and manage general accounting functions. The role includes handling daily accounting activities, preparing financial statements, managing reconciliations, and ensuring compliance with statutory requirements. Key Responsibilities Manage day-to-day accounting tasks including accounts payable, accounts receivable, general ledger maintenance, and tax-related activities. Prepare month-end, quarter-end, and year-end financial statements in accordance with GAAP. Review financial data for accuracy, completeness, and adherence to company policies and accounting standards. Perform reconciliations of balance sheet accounts and investigate any discrepancies. Support external audits by providing required documentation and preparing audit schedules. Verify employee expense claims against company travel policies and post related accounting entries. Process daily payments to vendors and employees. Manage banking relationships related to issuance and encashment of EMDs, BGs, and FDs. Coordinate with customers for collection of DTA forms and TDS certificates regularly. File quarterly TDS returns, monthly GST returns, and other statutory filings timely. Provide guidance and support to junior accounting staff as necessary. Skills and Qualifications Bachelor s degree in Accounting, Finance, or a related field. Minimum 3 to 5 years of experience in accounting, preferably in a senior or progressively responsible role. Strong knowledge of Generally Accepted Accounting Principles (GAAP) and tax regulations. Proficient with accounting software such as QuickBooks, Tally, and Zoho. Advanced MS Excel skills, including VLOOKUPs, pivot tables, and data analysis. Excellent verbal and written communication skills. Detail-oriented with strong analytical and organizational abilities. Qualification : Bachelors degree in Accounting, Finance, or a related field

Plant HR Executive / Generalist Location: Bengaluru Department: Plant HR Designation: Executive Experience: 3 to 4 Years Education: MSW / MBA (HR) Job Summary As a Plant HR Executive at Sansera Engineering, you will be responsible for supporting a wide range of HR activities within the manufacturing facility. This includes manpower planning, grievance handling, payroll coordination, compliance, and employee engagement. The role requires a hands-on HR professional who can balance administrative efficiency with employee-centric support. Key Responsibilities 1. Floating Manpower Management Manage timely recruitment and deployment of contract/floating manpower. Liaise with manpower agencies to ensure optimal workforce availability for all shifts. 2. Grievance Handling Serve as the first point of contact for contract employee issues. Address and resolve grievances in a timely, fair, and policy-compliant manner. 3. MIS Reporting Generate and maintain monthly reports on attendance, manpower, attrition, and recruitment. Support HR planning with data insights and dashboards. 4. Payroll Support Assist in attendance reconciliation, leave tracking, and overtime validation. Coordinate with the payroll team to ensure accurate and timely salary processing. 5. Facility Operations (Canteen, Transport & Security) Monitor and manage daily operations in coordination with service vendors. Ensure SLA adherence and address employee feedback related to these services. 6. Employee Engagement & Communication Organize engagement activities, cultural events, and welfare initiatives. Support the creation of an inclusive and motivated work environment. 7. General Administration Oversee housekeeping, stationery, and basic facility maintenance. Ensure compliance with safety, hygiene, and company policies. 8. Continuous Improvement (Kaizen) Encourage employee participation in Kaizen initiatives. Track and document implementation of improvement suggestions. Skills & Competencies Strong interpersonal and communication skills. Proficient in MS Office (Excel, Word, PowerPoint). Basic knowledge of labor laws, HR compliance, and statutory requirements. Effective problem-solving and coordination abilities. Ability to independently manage field-level and administrative responsibilities. Qualification : MSW / MBA (HR)

Job Title: Product Manager Location: Bangalore Experience Required: 2+ years Qualification: Any Graduate Role Overview Medi Assist is seeking a Product Manager to lead key modules of our flagship MAtrix claims processing platform. This role is central to driving innovation in healthcare claims processing through AI-enabled automation, enhanced operational efficiency, and a seamless user experience. You'll collaborate closely with engineering, operations, and business stakeholders to deliver impactful product outcomes in a fast-paced, tech-driven environment. Key Responsibilities Product Ownership: Manage the complete lifecycle of assigned product modules from ideation and development to deployment and transition to operations. Stakeholder Collaboration: Gather requirements, prioritize features, and align product goals with input from engineering, operations, and other cross-functional teams. AI Integration: Champion the use of AI/ML technologies to enhance claim processing accuracy and reduce turnaround time. User Experience: Optimize internal and external user journeys, ensuring the platform remains intuitive, responsive, and efficient. Qualifications & Skills Experience: Minimum 2 years in product management, preferably in health tech, insurance, or enterprise SaaS platforms. Technical Acumen: Understanding of AI/ML applications in product development and familiarity with software development processes. Analytical Thinking: Strong problem-solving skills with a data-driven approach to decision-making and product optimization. Communication: Excellent verbal and written communication skills, capable of conveying complex ideas clearly to both technical and non-technical audiences. Work at the intersection of technology and healthcare, driving meaningful impact Be part of a collaborative and forward-thinking team Opportunity to shape the future of AI-driven claims processing Qualification : Any Graduate

Position: Assistant Manager Account Management Location: Bangalore Experience: 5 8 years Education: Any Graduate Experience Required: 5 8 years of total experience in the service industry, with a minimum of 3 years in people management and customer service roles. Role Purpose: To ensure seamless claims processing for customers by managing a team of helpdesk personnel, including implants, semi-implants, account managers, and the document pickup team. The role also ensures a high standard of customer satisfaction and process compliance. Key Responsibilities: Team Oversight & Operations: Ensure scheduled customer visits by team members are carried out as planned. Monitor daily activities and performance, especially volume of documents collected. Review customer queries and the quality of responses from team members. Support team in handling and resolving customer escalations. Reporting & Claims Coordination: Review team reports and take necessary actions, including claims coordination. Collaborate with the front-end team to ensure timely and accurate claim registration. Analyze claims data dumps and take corrective actions such as addressing IRs, reopening claims, or resolving dummy entries. People Management & Coaching: Conduct regular one-on-one reviews with team members to address concerns and streamline processes. Guide team through customer escalations and process complexities. Drive improvement based on low CSAT/DSAT scores by identifying and addressing process or communication gaps. Stakeholder Collaboration: Liaise with internal and external stakeholders to address client-specific needs, such as helpdesk support or wellness activities. Work closely with regional and cross-functional teams to deliver on client expectations. Continuous Improvement: Analyze customer feedback to drive service improvements. Identify opportunities to improve customer interactions, documentation processes, and service delivery. Key Outcomes for Success: High customer satisfaction (CSAT) Timely resolution of customer issues as per SLA Successful client renewals Skills & Competencies: Technical: Strong understanding of service processes and claims workflows Proficient in MS Office (Excel, Word, PowerPoint) Behavioral: Problem-solving mindset Strong active listening and communication skills Proven people management abilities Client-oriented with a focus on service excellence Qualification : Any Graduate

Position: Enquiry Processing Associate Marketing Department: Marketing Extension Location: Bengaluru Role Overview: We're looking for a responsive and detail-oriented Enquiry Processing Associate to manage incoming enquiries from Key Account Managers (KAM) through phone, email, and chat. This role involves accurately processing enquiries, providing product information, resolving issues, and collaborating across teams to ensure excellent customer service. Key Responsibilities: Respond promptly and professionally to enquiries from KAM via phone, email, and chat. Accurately process and document all enquiries in the company system. Provide clear and detailed information regarding products, services, and company policies to KAM on a daily basis. Resolve customer issues efficiently and escalate complex cases to the relevant departments or personnel. Maintain current knowledge of company products, services, and technologies. Work closely with other departments to ensure enquiries are addressed comprehensively and promptly. Generate, present, and analyze reports on enquiry trends to support continuous improvement. Qualifications & Skills: Bachelor s degree in Business Administration (BBA) or any other discipline. Excellent communication skills, both written and verbal. Strong attention to detail and organizational skills. Ability to work collaboratively in a team environment. Proficient in using communication tools and enquiry management systems. Qualification : Bachelors degree in Business Administration (BBA) or any other discipline.

Senior Associate Data Engineering L2 Location: Bengaluru, India Department: Engineering Data Employment Type: Full-Time About the Role As a Senior Associate Data Engineering (L2) at Publicis Sapient, you will lead technical solutions that drive digital transformation by building scalable, high-performance data platforms. You ll be responsible for translating business and technical requirements into modern, data-centric solutions using Big Data technologies, cloud services (Azure), and advanced data engineering practices. Key Responsibilities Design and implement data ingestion, integration, and transformation processes from multiple heterogeneous sources in both batch and real-time. Build scalable data platforms using Hadoop stack components such as HDFS, Kafka, Spark, Hive, NiFi, Oozie, Airflow, Flink, and Storm. Develop real-time analytics, aggregation, and search features to support various data-driven applications. Collaborate closely with cross-functional teams on data infrastructure, computation frameworks, and data visualization. Apply cloud-native principles and Azure services to build and deploy data pipelines. Ensure performance optimization and data pipeline tuning. Work with NoSQL and MPP platforms like MongoDB, Cassandra, Redshift, Azure SQL DW, HBase, BigQuery. Contribute to infrastructure, automation, and DevOps for data pipelines using CI/CD practices. Ensure data governance, lineage, and cataloging using tools like Collibra or Alation. Required Qualifications 6 8 years of professional experience in software/data engineering. Minimum of 3 years hands-on experience with Big Data technologies. Strong programming expertise in Java (preferred), Scala, or Python. Expertise in the Hadoop ecosystem and real-time stream processing tools (Kafka, Pulsar, Spark Streaming, etc.). Hands-on experience with Azure data services (e.g., Data Factory, Synapse, ADLS, Databricks). Experience working with modern ETL tools (Informatica, Talend, etc.) and traditional RDBMS platforms (Oracle, PostgreSQL, SQL Server, MySQL). Bachelor's degree in Computer Science, Engineering, or related field. Nice to Have Certifications in Azure Data Engineer, GCP Big Data, or related cloud specializations. Experience with distributed messaging frameworks (ActiveMQ, RabbitMQ, Solace). Familiarity with microservices architecture and search technologies (Elasticsearch). Performance tuning of distributed data processing systems. Exposure to data governance, security, and metadata management. Benefits and Culture at Publicis Sapient Gender-neutral workplace policies 18 paid holidays annually Generous parental leave + new parent transition support Flexible work arrangements Access to Employee Assistance Programs (wellness & well-being) A dynamic culture focused on learning, creativity, and collaboration Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

Job Title: Software & Algorithm Design Engineer Robotics Location: Bengaluru Overview: We are seeking a talented Software and Algorithm Design Engineer to join our Robotics team. The ideal candidate will have a strong foundation in machine learning, computer vision, and image processing, coupled with practical experience in developing and optimizing algorithms for real-world robotics applications. This role demands proficiency in C++, familiarity with GPU computing, and a systems-level approach to problem-solving. Key Responsibilities: Develop and model new Machine Learning architectures and algorithms from the ground up. Apply expertise in machine vision and image processing to solve complex robotic perception problems. Classify and evaluate various ML models, understanding their benefits, limitations, and evolution. Parameterize problems with a clear understanding of system-level and process-level impacts. Translate and optimize DSP and/or Neural Network-based algorithms for high performance. Build robust test frameworks to validate algorithm correctness and performance. Collaborate closely with cross-functional teams to deliver production-ready, reliable robotics software beyond prototyping stages. Document code and algorithm design meticulously to ensure maintainability and clarity. Utilize GPU technologies, including CUDA, to accelerate algorithm performance. Required Skills & Qualifications: Strong grasp of Machine Learning fundamentals and practical ML toolkits. Proficient in C++ (Python proficiency assumed). Solid background in Machine Vision and Image Processing. Understanding of control systems is a plus. Familiarity with GPU application development and CUDA programming (expert level not required). Experience optimizing algorithms related to DSP or Neural Networks. Skilled in building comprehensive test frameworks for software validation. Passionate about documentation and writing clean, readable code. Comfortable working within a software development lifecycle to create production-quality software. Preferred Knowledge: ML Architectures and Neural Networks Digital Image Processing & Machine Vision CPU and GPU Architectures CUDA and GPU Programming Basic Software Design Patterns Memory Architecture & Optimization Techniques Algorithm Performance Optimization Tools & Technologies: C++ CUDA cuDNN and other machine learning frameworks Computer Vision libraries (e.g., OpenCV)

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Job Title: Associate Credit Card Operations Location: Bengaluru, India Employment Type: Full-time About Zeta Zeta is a Next-Gen Banking Tech company transforming how banks and fintechs design and launch modern financial products. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform, Tachyon, is the industry s first fully cloud-native and API-enabled banking stack. It integrates issuance, processing, lending, fraud & risk, and more into a single-vendor platform. With over 15 million cards issued globally, Zeta enables banks to deliver: Rich, digital-first experiences Hyper-personalized card programs Rapid deployment via web-based product configurators API-based innovation and scalability Intuitive, modern back-office systems Advanced regulatory and compliance tools We re trusted by major banks and fintechs globally and backed by investors like SoftBank and Mastercard, with a $1.5 billion valuation and a team of 1700+ employees, over 70% in R&D. About the Role Zeta is collaborating with HDFC Bank to manage and operate a modern credit card program built on the Zeta Platform. We are seeking dynamic professionals to join our Credit Card Business Operations Unit, supporting critical functions such as onboarding, dispute handling, reconciliation, and end-to-end lifecycle management of credit card customers. This is an exciting opportunity to be part of a growing, innovation-driven team that is reshaping banking operations. Key Responsibilities Operations Oversight: Monitor and resolve onboarding, delivery, and dispatch issues for new credit card customers. Dispute & Fraud Resolution: Handle fraud and dispute cases in compliance with process and regulatory timelines. Reconciliation & Settlement: Manage transaction settlement processes and ensure accurate reconciliation of accounts. Lifecycle Management: Oversee credit card lifecycle processes, including account maintenance, repayment tracking, credit balance refunds, and closures. Stakeholder Coordination: Collaborate with internal and external teams (e.g., product, engineering, bank partner) to resolve operational issues effectively and on time. Skills & Competencies Strong communication and interpersonal skills. Customer-first mindset with a proactive problem-solving approach. High level of accountability and attention to detail. Ability to manage time effectively in a fast-paced and dynamic environment. Qualifications & Experience Education: Graduate degree in any discipline. Experience: 1 5 years of relevant experience in Credit Card Operations, Customer Servicing, or Banking Operations. Prior exposure to onboarding, dispute management, settlements, and lifecycle operations in cards domain is highly preferred. Equal Opportunity Statement Zeta is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We encourage individuals from all backgrounds, communities, and identities to apply. Qualification : Graduate degree in any discipline.

About Us While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and take pride in fostering a culture built on transparency, diversity, integrity, learning, and growth. If you want to work in an environment that encourages you to innovate and excel both professionally and personally Quantiphi is the place for you! Role: Sales Lead - Insurance Quantiphi Solving What Matters About the Role We are seeking a highly driven and experienced sales leader to drive growth in the Insurance sector across North America. This role reports to the Senior Client Solutions Partner for Financial Services & Insurance. The ideal candidate should possess: Deep understanding of the Insurance industry landscape Ability to build and manage relationships with Fortune 1000 companies Responsibilities Strategic Account Development Develop and execute account strategies targeting large enterprise Insurance customers in North America Identify and nurture business growth opportunities through strong industry knowledge and C-level engagement Sales Cycle Management Manage full sales cycles, from prospecting and needs assessment to proposal development, negotiation, and closure Present Quantiphi s value proposition to executive audiences, tailored to client-specific needs with clear ROI demonstrations Customer-Centric Approach Understand each client s business drivers, technology landscape, and competitive challenges Showcase how Quantiphi s AI-powered solutions address key challenges such as: Claims processing Underwriting Fraud detection Personalized insurance offerings Enhancing customer experience Relationship Building Establish and grow relationships within target accounts Position yourself as a trusted advisor by offering valuable insights on AI and data science innovations Collaboration & Partnership Work closely with marketing, solutions architects, and delivery teams to ensure seamless execution and client satisfaction Collaborate with alliance partners to extend market reach and enhance solution offerings Forecasting & Goal Achievement Maintain accurate sales forecasts and actively manage pipeline Consistently achieve assigned sales targets Market Expertise Stay updated on Insurance industry trends, Insurtech innovations, regulations, and competitive dynamics Leverage this expertise to identify growth opportunities and strengthen Quantiphi s market position Qualifications Proven success in enterprise sales within the Insurance industry Strong network within the North American Insurance sector, ideally with Fortune 1000 connections Deep understanding of Insurance business challenges and the application of AI and data science to solve them Excellent communication, presentation, and interpersonal skills, with the ability to influence at all levels Experience managing complex sales cycles and negotiating large enterprise deals Strong collaboration skills with the ability to manage multiple stakeholders Bachelor s degree in a relevant field (MBA preferred) Minimum 5 years of enterprise sales experience within the Insurance industry Qualification : Bachelors degree in a relevant field (MBA preferred)