Scrum Master at Disruptive Digital Healthcare Platform · Bengaluru (Bangalore) · 8 - 9 years · ₹12L - ₹15L / yr · Posted 27 May 2022

Our client is the Health-tech initiative of India's largest business house. Started in 2015, it empowers healthcare providers and consumers in India. All healthcare monitoring services are made available through an app that will help connect doctors, hospitals, pharmacies, laboratories and consumers, enabling preventive and predictive healthcare. It helps the care-givers to track the entire patient journey from the initial appointment and maintaining their records, generating lab test reports to providing virtual consultation and home-care solutions. It is expected that this futuristic guide will strengthen doctor-patient relationship and enhance the in-clinic experience.
- Building a high performing team with focus on high quality software through core Agile value alignment.
- Removing team impediments and maintaining visibility for stakeholders.
- Coaching the team and helping follow scrum practices Agile enthusiast.
- Acting as an enabler for the effective functioning of a software development team using Agile Methodology.
- Assisting the self-organizing, self-managing team achieve its goals
- Facilitating Daily scrum, Sprint/ Iteration Planning, Sprint/ Iteration Demo and Retrospective meetings.
- Helping product owner to make the product backlogs in good shape and making them ready for the next sprint
What you need to have:
- Qualification : B.Tech / B.E.
- At least two years experience leading scrum teams, and basic Scrum Master and agile certification.
- Software development experience for minimum of 8 years prior to scrum master experience
- Hands-on development as required. Technical mentoring to members of the team
- Work experience preferred in any of the following technologies: Java, Swift/ iOS, Java/ Android, React, PHP, Selenium using Java

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Invorto is our Voice AI product, bringing intelligent voice agents to real-world customer and operational use cases. Our voice pipeline is built in Python, running an STT → LLM → TTS architecture on top of the Pipecat framework.
This is a chance to work on hard problems in voice AI — latency, accuracy, naturalness, and reliability — building zero-to-one, owning your area end-to-end, and shipping to production at scale.
Note: This is a customer-facing role, and strong communication skills are essential.
About the Role
We're looking for a Voice AI Research Engineer to join the Invorto team and help build and continuously improve the voice AI systems that power our intelligent voice agents. This role is focused on the specialized craft of voice AI — designing evaluation and automation frameworks that ensure our STT, LLM, and TTS pipeline performs reliably in real-world, production conditions.
What You'll Do
- Design and build automated testing and quality frameworks for our STT → LLM → TTS voice pipeline, built on Pipecat
- Evaluate and benchmark STT, LLM, and TTS/ASR components on accuracy, latency, naturalness, and robustness across accents, languages, and real-world audio conditions
- Work hands-on with STT, TTS, and ASR models — fine-tuning, evaluating, and improving them for production use cases
- Identify failure modes and edge cases across the pipeline (background noise, accents, interruptions, turn-taking, latency, pipeline-stage handoffs) and build systems to catch them before production
- Collaborate closely with engineering to integrate quality checks and automation into the voice agent development lifecycle within the Pipecat-based architecture
- Research and stay current with advances in voice AI, and bring in new techniques, models, and tools to improve pipeline performance
- Work directly with customers to understand real-world voice use cases and translate them into evaluation criteria and quality benchmarks
- Partner with product and engineering to define what "production-grade quality" means for voice agents and drive the team toward it
What We're Looking For
- 4–6 years of experience, with a specialization in voice AI systems and automated quality evaluation
- Hands-on experience with STT (Speech-to-Text), TTS (Text-to-Speech), and ASR (Automatic Speech Recognition) models
- Experience designing and building automated testing/evaluation frameworks for voice or speech systems
- Strong understanding of what drives voice AI quality — accuracy, latency, naturalness, and robustness to real-world variability
- Strong programming skills in Python; familiarity with Pipecat or similar voice pipeline/orchestration frameworks is a plus
- Understanding of STT → LLM → TTS pipeline architectures and the trade-offs involved at each stage
- Research mindset — comfortable exploring new models, techniques, and tools and translating them into practical improvements
- Excellent communication skills — this is a customer-facing role, and you'll regularly engage directly with customers to understand needs and validate quality expectations
1. Should have worked in Agile methodology and microservices architecture
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4. Should have knowledge of User Auth (JWT, OAuth2), API Auth, Access Control List, etc.
5. Should have working experience in session management in Django
6. Should have expertise in the Django MVC and uses of templates in frontend
7. Should have working experience in PostgreSQL
8. Should have working experience in the RabbitMQ messaging channel and Celery Analytics
9. Good to have javascript implementation knowledge in Django templates
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Location: Ascendion office - Kadubeesanahalli, Bengaluru
Work mode: Hybrid (3 days/week)
Experience Range: 6 - 9 years
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Build high-performance RESTful APIs and microservices
Work with NoSQL databases for scalable data handling
Contribute to cloud-based development and deployments on AWS/Azure
Implement and manage CI/CD pipelines for automated delivery
Collaborate closely with DevOps, QA, and Product teams
Participate in code reviews, debugging, and performance optimization
Ensure clean, maintainable, and well-documented code
Support production and ensure application stability
Required Skills & Qualifications:
Strong hands-on experience in Core Java
Solid experience with Spring Boot and microservices architecture
Working knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.)
Basic exposure to Golang (ability to read/write simple services)
Experience with cloud platforms such as AWS and/or Azure
Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
Good understanding of REST APIs, JSON, and HTTP protocols
Proficiency with version control systems like Git
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· Minimum age required 35 Year
· Good technical sales/marketing skills communication skills
Mail updated resume with current salary-
Email: jobs[at]glansolutions[dot]com
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- Strong understanding of MySQL / PostgreSQL databases.
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- Excellent debugging, analytical, and problem-solving skills.
- Ability to work collaboratively in a team environment with strong communication skills.
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