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Hi All,

 Greetings from LMV Group!!!

 We are looking for Agency Channel Sales Manager for Life/Health/General Insurance Sales Domain.

Experience Required -mini 2yr. -Max6yr.

 Location-Mumbai, Pune, Hyderabad, Banglore, Chennai, Rajahmundry, Vizag, Vijayawada Mysore 

 No of Vacancy -10+

Candidate must have prior work experience in the relevant domain.

Can able to Recruit agents and generate revenue for the organization. Having Good Potential as an Individual performer.

About AuxoAI:

AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. What We Do We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.

We help our clients with accelerating their digital and AI journeys through:

• AI Application Development

• Data, Digital and Cloud acceleration using AI

• AI Native Product Engineering

We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

* Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.

* Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

* Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

* Implement data governance and security best practices to ensure compliance and data integrity.

* Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

* Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Requirements :

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

* 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines.

* Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.

* Strong programming skills in languages such as Python, Java, or Scala.

* Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.

* Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

Key Responsibilities

Reporting & Analytics Development

• Design, develop, and maintain complex reporting solutions serving mission-critical emergency

response operations

• Build interactive dashboards and data visualizations that transform large datasets into

actionable insights

• Develop advanced analytics features including trend analysis, predictive metrics, and

operational intelligence

• Create self-service reporting capabilities enabling stakeholders to access critical data

independently

• Implement real-time and scheduled reporting systems with appropriate caching and

optimization strategies

SQL & Database Architecture

• Write and optimize complex SQL queries involving multiple joins, subqueries, CTEs, window

functions, and aggregations

• Review existing database architectures and identify performance bottlenecks and optimization

opportunities

• Design and implement database schema enhancements to support evolving reporting

requirements

• Develop and maintain stored procedures, functions, and views optimized for reporting

workloads

• Perform comprehensive query performance analysis and implement tuning strategies across

PostgreSQL and AWS Aurora environments

• Create efficient indexing strategies and data access patterns for large-scale datasets

• Establish data modeling best practices for dimensional and transactional reporting needs

Performance Optimization

• Conduct systematic performance analysis of reporting queries processing millions of records

• Implement query optimization techniques including execution plan analysis, index tuning, and

query refactoring

• Design and implement data aggregation strategies, materialized views, and summary tables for

improved performance

• Monitor and optimize database performance metrics including query response times, resource

utilization, and concurrency

• Develop ETL processes and data pipelines optimized for reporting and analytics workloads

• Implement caching strategies and data archival policies to maintain optimal system

performance

Technical Collaboration

• Partner with Product and stakeholder teams to translate business reporting requirements into

technical solutions

• Conduct code reviews focused on SQL quality, performance, and best practices

• Provide technical guidance to development teams on reporting architecture and database

optimization

• Document database schemas, reporting architectures, and optimization strategies

• Collaborate with DevOps on database infrastructure, monitoring, and scaling initiatives

Required Qualifications

Experience & Background

• 8+ years of software engineering experience with significant focus on reporting, analytics, or

business intelligence

• 5+ years of hands-on experience writing complex SQL in production environments

• 3+ years working with large-scale databases (millions+ records) and optimizing query

performance

• Proven track record developing enterprise reporting solutions and analytics platforms

• Experience conducting database architecture reviews and implementing performance

improvements

Technical Expertise - SQL & Databases

• Expert-level SQL proficiency including complex joins, subqueries, CTEs, window functions, and

advanced aggregations

• Deep PostgreSQL expertise with production experience in query optimization and performance

tuning

• Strong understanding of database internals including execution plans, indexing strategies, and

query optimization

• Experience with AWS Aurora or other cloud-based PostgreSQL solutions

• Proficiency in stored procedures, triggers, functions, and database programming

• Advanced knowledge of database design principles, normalization, and dimensional modeling

• Experience with database performance monitoring and profiling tools

• Strong programming skills in PHP (Yii framework or similar MVC frameworks preferred)

• Solid experience with Vue.js or similar modern JavaScript frameworks for building reporting

interfaces

What You'll Work With

• Databases: PostgreSQL, AWS Aurora, multi-tenant architectures

• Backend: PHP (Yii framework), RESTful APIs

• Frontend: Vue.js (Vue 2/3), modern JavaScript, data visualization libraries

• Infrastructure: AWS (RDS, Aurora, S3, Lambda), Postgres

• Tools: Git/GitHub, JIRA, Agile development workflows

Work Location

Hyderabad, India - On-site position with flexible working arrangements to accommodate both India

and onsite teams

Position: Regional sales manager

Experience: 7–10 years in the Life Sciences/Bioprocess industry

Location: Hyderabad & Ahmedabad

Company is committed to driving the strategic growth and commercial success within the biopharmaceutical industry.

About the Role

The Regional Sales Manager (RSM) is responsible for driving the strategic growth and commercial success of Company within their assigned territory/Region. This is a leadership role requiring a blend of high-level technical expertise and business acumen. You will mentor a team of Sales Specialists, manage key institutional accounts, and collaborate with horizontal departments (Supply Chain, Marketing, projects, application support) to ensure a seamless customer experience and hit regional revenue targets.

Responsibilities

Sales Leadership & People Management

• Team Mentorship: Lead, coach, and manage a team of Sales Specialists and Account Managers; conduct regular performance reviews and field-joint visits.
• Sales Strategy: Develop and execute a regional "Go-to-Market" strategy to expand market share in Bioprocess Upstream/Downstream segments.
• Pipeline Management: Oversee the regional sales funnel, ensuring accuracy in forecasting and timely closure of high-value capital and consumable projects.

Strategic Account & Stakeholder Management

• Key Account Ownership: Directly manage relationships with "C-suite" executives and senior procurement heads at top-tier Biopharma and Vaccine companies.
• KOL Development: Cultivate a network of industry influencers and Key Opinion Leaders to position company as a thought leader in the CGT and Bioprocess space.

Horizontal Integration & Operational Excellence

• Cross-Functional Collaboration: Work closely with the Applications Team for technical trials, Supply Chain for inventory planning, and Marketing for regional lead-generation events.
• Intelligence Gathering: Synthesize field data and competitor moves into actionable insights for the national leadership team.

Qualifications

• Education: B.Tech/M.Tech or M.Sc. in Biotechnology/Bio-Chemical Engineering. MBA is added advantage.
• Experience: 7–10 years in the Life Sciences/Bioprocess industry, with at least 1–2 years in a people management or team lead role.

Required Skills

Leadership & Commercial Skills

• Strategic Thinking: Ability to look beyond immediate sales to identify long-term market shifts and opportunities.
• Negotiation Excellence: Proven track record of handling high-value contract negotiations and complex tender processes.
• Emotional Intelligence: Strong capability in conflict resolution and motivating a diverse team to meet aggressive targets.

Technical Expertise

• Deep Industry Knowledge: Comprehensive understanding of the Biopharmaceutical manufacturing landscape in India.
• Solution Selling: Proficiency in selling integrated Single-Use Technology (SUT) systems and complex workflow solutions.

About Position We are seeking an experienced, senior IT professional in the capacity of Senior Business Intelligence Analyst within the Data Products team. Analysts will lead efforts to concisely and accurately capture, synthesize and analyze requirements, evaluate options to leverage existing technology investments, assist with evaluation and selection of new technologies, identify alignment opportunities and work with change agents, developers and testers to ensure projects achieve their objectives. The role requires close collaboration between business leaders and Data Engineers aligned to each of our Value Streams/ Business Domains across (Marketing, Manufacturing, Design & Engineering etc). Qualification: • Bachelor’s degree or experience in Computer Engineering, Computer Science, Information Systems, Data Science, or a related digital, analytical, or IT field. • Hold 5 to 8 years of professional experience. • Strong problem-solving and analytical skills. • Excellent communication and collaboration skills. • Ability to manage time effectively and prioritize tasks to meet deadlines. Responsibilities: • Collaborate with Business Domain/ Value Stream aligned Data Product Managers and identify opportunities to provide business intelligence, strategy and planning services to business stakeholders, determine the best approach for engagement and deliverables and gain commitment from stakeholders to proceed. • Work with business users to understand their use cases, functions and processes and help them define business intelligence, analytics and reporting requirements. • Design and develop user friendly and interactive dashboards to support business decision makers in making informed choices. • Develop and modify reports, verify information integrity and design BI dashboards, scorecards, charts/ graphs, drilldowns, and dynamic reports to meet product definitions. • Work with business units and functional partners to identify, prioritize, clearly define and document analytical needs, while maintaining perspective on the ultimate KPIs of the organization. • Collect, aggregate and analyze quantitative and qualitative data to drive insights on system performance. • Advise the Data Engineering and BI development team on the translation of business requirements into technical specifications. • Support the roll out of new BI products and provide end user training on the usage of dashboards and reports. • Regularly present and share findings with stakeholders to evangelize Business Intelligence tools and strategies. • Help to ensure that there is a continuous feedback loop which will drive user experience improvements and user adoption of BI tools. • Provide a mechanism for reporting the success or failure of a product against its value proposition. • Ensure design and branding consistency across various data visualization solutions, dashboards and reports. • Promote reuse of solutions or solution components through good documentation and design solutions. • Contribute to the ongoing maturity of the Data Product Teams operating model, methods and deliverables. • Perform detailed data analysis for assets in Databricks and evaluate them for quality and completeness for building data products. • Perform SQL-based data extraction, data validation, and data analysis. • Collaborate with Data Modeling and Power BI teams to design and deliver scalable reporting and analytics solutions. • Write user stories and define acceptance criteria to support Agile development of business requirements in Azure Dev Ops. • Work on a variety of initiatives related to Data Democratization operations. • Troubleshoot problems or issues and provide support to the data engineering team. Required Knowledge, Skills, and Abilities: • Experience leading product envisioning sessions and capturing business requirements (identifying operating models, business processes, services, capabilities, etc.) and modeling them in live and interactive sessions. • Ability to interact, influence, and communicate across all organizational levels including business team executives, subject matter experts and technical resources. • Ability to visually summarize multi-dimensional complex data into simple to understand information. • Strong presentation and business story-telling skills with the ability to create dashboards reports. • Technical aptitude with strong logical, problem solving, negotiation and decisionmaking skills. • Ability to map data using disparate data sources such as flat files, databases, XML files and/or unstructured data. • Advanced Excel skills, including V Lookups, pivot tables, charting, formulas, and data manipulation. • Strong analytical and project management skills with demonstrated ability to prioritize track and deliver results. • 5-8 years in IT roles spanning business analysis, business intelligence, strategy, project management and delivery functions. • Experience with the planning, envisioning and facilitation of executive-level strategic or IT planning workshops. • Experience across all layers of system architecture (business, data, information systems, infrastructure) with a focus on Business Intelligence. • Excellent interpersonal skills especially in areas of teamwork, facilitation, influence, and negotiation. • Excellent verbal and written presentation skills, and a high level of competency with Business Intelligence Tools. Preferred Knowledge, Skills, and Abilities: • Experience creating visual dashboards with large and complex datasets using business intelligence tools like Power BI and Tableau. • Experience interpreting data from a business perspective and communicating those insights to nontechnical business partners. • Strong understanding of data governance controls, process and procedures, centers of competency, change management, conceptual data modeling, master data management, data standardization and stewardship, information integrity, compliance and data quality. • Experience with data mining techniques such as scenario modeling, pattern detection, A/B testing, nearest neighbor, cluster analysis, sentiment analysis, decision trees, optimization, simulation, regression analysis, deep learning and other types of analysis. • Experience working in an AGILE environment (SCRUM and Kanban) and practical knowledge of project management. • Strong quantitative, analytical and interpretive skills

Company Description

VMax e-Solutions India Private Limited, based in Hyderabad, is a dynamic organization specializing in Open Source ERP Product Development and Mobility Solutions. As an ISO 9001:2015 and ISO 27001:2013 certified company, VMax is dedicated to delivering tailor-made and scalable products, with a strong focus on e-Governance projects across multiple states in India. The company's innovative technologies aim to solve real-life problems and enhance the daily services accessed by millions of citizens. With a culture of continuous learning and growth, VMax provides its team members opportunities to develop expertise, take ownership, and grow their careers through challenging and impactful work.

About the Role

We’re hiring a Senior Data Scientist with deep real-time voice AI experience and strong backend engineering skills.

1. You’ll own and scale our end-to-end voice agent pipeline that powers AI SDRs, customer support 2. agents, and internal automation agents on calls. This is a hands-on, highly technical role where you’ll design and optimize low-latency, high-reliability voice systems.

3. You’ll work closely with our founders, product, and platform teams, with significant ownership over architecture, benchmarks.

What You’ll Do

1. Own the voice stack end-to-end – from telephony / WebRTC entrypoints to STT, turn-taking, LLM reasoning, and TTS back to the caller.

2. Design for real-time – architect and optimize streaming pipelines for sub-second latency, barge-in, interruptions, and graceful recovery on bad networks.

3. Integrate and tune models – evaluate, select, and integrate STT/TTS/LLM/VAD providers (and self-hosted models) for different use-cases, balancing quality, speed, and cost.

4. Build orchestration & tooling – implement agent orchestration logic, evaluation frameworks, call simulators, and dashboards for latency, quality, and reliability.

5. Harden for production – ensure high availability, observability, and robust fault-tolerance for thousands of concurrent calls in customer VPCs.

6. Shape the voice roadmap – influence how voice fits into our broader Agentic OS vision (simulation, analytics, multi-agent collaboration, etc.).

You’re a Great Fit If You Have

1. 6+ years of software engineering experience (backend or full-stack) in production systems.

2. Strong experience building real-time voice agents or similar systems using:

STT / ASR (e.g. Whisper, Deepgram, Assembly, AWS Transcribe, GCP Speech)

TTS (e.g. ElevenLabs, PlayHT, AWS Polly, Azure Neural TTS)

VAD / turn-taking and streaming audio pipelines

LLMs (e.g. OpenAI, Anthropic, Gemini, local models)

3. Proven track record designing and operating low-latency, high-throughput streaming systems (WebRTC, gRPC, websockets, Kafka, etc.).

4. Hands-on experience integrating ML models into live, user-facing applications with real-time inference & monitoring.

5. Solid backend skills with Python and TypeScript/Node.js; strong fundamentals in distributed systems, concurrency, and performance optimization.

6. Experience with cloud infrastructure – especially AWS (EKS, ECS, Lambda, SQS/Kafka, API Gateway, load balancers).

7. Comfortable working in Kubernetes / Docker environments, including logging, metrics, and alerting.

8. Startup DNA – at least 2 years in an early or mid-stage startup where you shipped fast, owned outcomes, and worked close to the customer.

Nice to Have

1. Experience self-hosting AI models (ASR / TTS / LLMs) and optimizing them for latency, cost, and reliability.

2. Telephony integration experience (e.g. Twilio, Vonage, Aircall, SignalWire, or similar).

3. Experience with evaluation frameworks for conversational agents (call quality scoring, hallucination checks, compliance rules, etc.).

4. Background in speech processing, signal processing, or dialog systems.

5. Experience deploying into enterprise VPC / on-prem environments and working with security/compliance constraints.

Key Responsibilities:

·      Contribute to all stages of software development lifecycle

·      Analyse user requirements to define business objectives

·      Envisioning system features and functionality

·      Define application objectives and functionality

·      Ensure application designs conform with business goals

·      Identify and resolve any technical issues arising

·      Conducting software analysis, programming, testing, and debugging

·      Manage Java and Java EE application development

·      Develop documentation to help users

·      Transforming requirements into stipulations

·      Prepare and produce releases of software components

·      Support continuous improvement, investigating alternatives and technologies, and presenting for architectural review

·      Create & maintain monthly/weekly reports to track progress and performance.

Key Skills & Competencies:

·      Proficiency in Java

·      Core Java, J2EE, Spring MVC, Spring REST APIs, Spring Security, JSP, Web application, Redis, Oauth2, Angular, JQuery, Html, JavaScript

·      Knowledge on MySQL

·      Good experience in SQL server enabled understanding and write complex stored procedures

·      Web frameworks like Spring Boot

What are the Key Responsibilities:

• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly responsive user interface components using react concepts.
• Writing application interface codes using JavaScript following react.js workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.

What are we looking for:

• Bachelor’s degree in computer science, information technology, or a similar field.
• Previous experience working as a react.js developer.
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
• Experience with user interface design.
• Experience with browser-based debugging and performance testing software.
• Excellent troubleshooting skills

Job Title: Senior Full Stack Developer

Employment Type: Full-time

Years of Experience: 4-7 years

Number of Positions: 3

Education: B. Tech, B.E, MSc-IT, MCA degree or equivalent

Work Location: Hyderabad

Mode of Work: Work From Office

Notice Period: Immediate (within 15 days)

On-site Feasibility: Yes

Interview Rounds:

- L1 - HRBP (Virtual Screening)

- L2 - Tech Lead (Virtual)

- L3 - Sr Tech Lead/CEO (Virtual)

- L4 - Managerial Round (CTO) (Virtual)

Interview Panel Availability: Preferably Weekends or after 6 pm weekdays

Working Hours: 11:30 am to 8:30 pm (Monday - Friday)

Hiring for: Product/Client

Role Reporting to: Tech Lead

Required Skills:

- 4+ years of development experience in .NET.

- Proficiency in JavaScript or TypeScript.

- Proficiency in C#, .NET, .NET Core, Entity Framework.

- Solid understanding of software development principles (SOLID).

- Expert in Azure/AWS.

- Understanding of Design Patterns.

- Excellent communication skills.

Good to Have:

- Knowledge of SQL databases.

- Certification in Azure/AWS.

- Strong knowledge of Vue.js.

- 2+ years of development experience in Vue.js or Angular (Version 10 and above) framework.

Roles & Responsibilities:

- Develop new applications including Web APIs, Webjobs, Functions, etc.

- Develop front-end applications using Micro Frontend Architecture.

- Write Unit Tests and Integration Tests to ensure software quality.

- Troubleshoot and debug applications.

- Mentor and train other team members.

- Maintain application performance by identifying and resolving production and development issues, installing updates and patches, and conducting maintenance tasks.

- Provide support for applications by developing utilities, addressing inquiries, and resolving issues.

- Stay updated with the latest technologies and trends by participating in educational opportunities and obtaining relevant certifications.

- Contribute to the achievement of organizational goals by completing assigned tasks and projects effectively.

Employee Benefits:

- Health Insurance (covering spouse and 2 children)

- Provident Fund (PF)