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1. Greet patients and visitors in a professional and friendly manner. 2. Schedule appointments and maintain appointment calendars for healthcare providers. 3. Answer phone calls and direct them to the appropriate staff members. 4. Collect and update patient information in the electronic medical records system. 5. Verify insurance coverage and assist patients with insurance paperwork. 6. Process payments and handle billing inquiries. 7. Coordinate communication between patients, healthcare providers, and other staff members. Experience : Minimum 3 Years 8. Maintain cleanliness and organization of the front office area. 9. Handle incoming and outgoing mail and faxes. 10. Assist with other administrative tasks as needed. Requirements: 1. High school diploma or equivalent. 2. Previous experience in a healthcare setting preferred. 3. Strong communication and customer service skills. 4. Proficiency in using computer systems and electronic medical records. 5. Ability to multitask and prioritize tasks effectively. 6. Attention to detail and accuracy in data entry. 7. Knowledge of medical terminology is a plus. 8. Ability to maintain patient confidentiality and adhere to HIPAA regulations. 9. Willingness to work flexible hours, including evenings and weekends. 10. Ability to work independently and as part of a team.

About Realsta Realsta is a real estate advisory platform focused on commercial properties, leasing, and property consulting solutions. We are looking for confident and proactive professionals to join our growing team. Key Responsibilities - Handle incoming and outgoing client communication professionally - Connect with prospective clients and understand their requirements - Identify and manage potential leads through regular coordination - Schedule meetings, property visits, and client discussions - Maintain lead records and update CRM systems regularly - Share project and property information with clients - Build and maintain professional client relationships - Coordinate with internal sales and operations teams - Ensure timely resolution of client requests and communication Requirements - Strong communication skills in English and Hindi - Confident and professional communication abilities - Good coordination and relationship management skills - Basic understanding of CRM tools, Excel, Email, and Google Sheets - Positive attitude with strong interpersonal skills - Ability to manage multiple client interactions efficiently Preferred Candidate Profile - Experience in telecalling, CRM operations, customer relations, sales support, or client coordination preferred - Candidates with experience in international customer service or corporate client-facing roles will be preferred - Experience in the real estate sector is an advantage - Freshers with strong communication skills may also apply Skills Required - Communication Skills - Client Coordination - Lead Management - CRM Operations - Coordination and Follow-up - Professional Calling Etiquette - Time Management Job Type Full-time Working Days Monday to Friday

About AiSensy AiSensy is a WhatsApp-based customer engagement and marketing platform helping businesses improve communication and revenue growth through WhatsApp. More than 210,000 businesses use AiSensy for customer engagement and communication workflows. Billions of WhatsApp messages are exchanged annually through the platform. Trusted by leading brands across multiple industries. Businesses using AiSensy have achieved significant improvements in customer engagement and revenue performance. About the Role You will work on the machine learning systems powering AiSensy’s intelligent chat platform serving businesses across India. This role involves strong ownership, architectural decision-making, and close collaboration with senior engineering leadership. This is a production-focused engineering role. You will work on scalability, response performance, infrastructure efficiency, and overall system reliability. Core Responsibilities Conversational Systems Own the end-to-end ML pipeline for intelligent chat systems including response quality, workflow routing, validation controls, and answer generation. Design and optimize hybrid search systems using BM25, ColBERT, dense vector representations, and semantic search databases. Build response validation checks that identify issues before customer impact. Work across workflow frameworks for request separation, feature selection, process routing, and consistent structured responses. Improve multi-layer memory systems spanning short-term memory, summaries, and long-term storage using technologies like Qdrant and Valkey. Build validation systems for sensitive data filtering, usage guidelines, and policy compliance while maintaining separation between platform rules and customer-specific configurations. Run detailed testing and performance analysis while connecting model quality with business metrics such as resolution rate, escalation rate, and operational cost. Behavior Modeling Dand productionize behavior modeling systems that convert multi-turn customer interactions into vector representations suitable for grouped analysis, personalization, and intelligent recommendations. Build multi-level user grouping pipelines across platform-wide and organization-specific datasets with incremental updates as new information becomes available. Collaborate with platform engineering teams on infrastructure covering event storage, behavioral feature computation, semantic storage systems, and low-latency online serving. Own the production ML lifecycle including training, batch inference, real-time inference, retraining schedules, performance monitoring, and controlled recovery mechanisms. Platform & Production Deploy ML systems using Amazon Bedrock, SageMaker, and AWS infrastructure including ECS, ECR, and Kubernetes. Own response time, infrastructure cost, and quality metrics for large-scale conversational workloads operating across shared infrastructure environments. Write detailed low-level design documents before implementation and participate in technical reviews with engineering teams. Contribute to internal benchmarking systems evaluating platform quality against leading conversational support products. What We’re Looking For Must-Have Skills 5+ years building production ML systems with at least 2 years focused on conversational systems or generative AI applications. Strong understanding of retrieval-augmented systems including diagnosing search quality issues, optimizing hybrid search strategies, and identifying when retrieval systems are unnecessary. Hands-on experience with LangGraph, DSPy, or similar workflow frameworks. Strong understanding of semantic search databases such as Qdrant, pgvector, or equivalent systems at meaningful scale. Production experience with cloud ML platforms such as SageMaker, Bedrock, Vertex AI, or Azure ML. Solid understanding of machine learning fundamentals including vector models, clustering, contrastive learning, and evaluation techniques. Ability to write low-level design documents that can be reviewed and implemented by senior engineering teams. Strong Python and FastAPI experience. Preferred Signals Ability to identify when generative AI is not the right solution for a problem. Experience building scalable ML systems for shared customer environments where infrastructure efficiency matters alongside model quality. Experience working with Indic-language models such as MuRIL or IndicBERT. Experience with user journey analysis or sequential behavior modeling. Comfort discussing both infrastructure and ML architecture decisions. Nice to Have Experience with WhatsApp Business API or CPaaS platforms. Contributions to open-source ML tooling. Published work related to conversational systems, search systems, or behavior modeling. How We Evaluate We value strong problem-solving and engineering judgment. Assignments with execution errors will not be considered. We look for engineers who can break down problems, choose practical solutions, and clearly justify technical decisions instead of overusing generative AI approaches where simpler systems are more effective.

1. Delivering food and beverages to hotel guests in a timely and professional manner. 2. Setting up room service trays and ensuring they are presented neatly and attractively. 3. Providing exceptional customer service by taking accurate food and beverage orders from guests. 4. Ensuring all room service orders are prepared correctly and delivered promptly. 5. Communicating effectively with kitchen staff and other departments to coordinate room service orders. 6. Handling guest inquiries and concerns promptly and professionally. 7. Maintaining cleanliness and organization in the room service area. 8. Adhering to all food safety and sanitation guidelines. Requirements: 1. Prior experience in a customer service or food service role preferred. 2. Excellent communication and interpersonal skills. 3. Ability to work efficiently in a fast-paced environment. 4. Strong attention to detail and organizational skills. 5. Willingness to work flexible hours, including nights, weekends, and holidays. 6. Knowledge of food and beverage items and their preparation methods. 7. Ability to lift and carry trays of food and beverages. 8. Must be reliable, punctual, and have a positive attitude.

About the company: EliteStay Hospitality Private Limited is looking for a professional and friendly Receptionist to join our growing hospitality team in Nagpur. Job Role: Handle guest check-ins & check-outs Manage calls, bookings & guest queries Coordinate with housekeeping and operations team Maintain front office records and billing Requirements: Good communication skills Basic computer knowledge Positive attitude & professional behavior Experience in hotel industry preferred

ERP Technical Support Provide end-to-end ERP technical support to users. Troubleshoot and resolve ERP-related issues efficiently. Coordinate with internal teams for system maintenance and support. Maintain accurate records of issues and resolutions. Assist users with ERP processes and system navigation. Good knowledge of Microsoft Excel, including formulas, reports, and data handling. Ability to analyze data and generate reports when required. Strong communication and problem-solving skills.