
Position: Call Quality Analyst
Monitoring Calls:
Listen to recorded or live calls between customer service representatives and customers.
Evaluate the call based on predefined quality metrics and guidelines.
Quality Assessment:
- Assess and score calls on various criteria, including but not limited to, professionalism, communication skills, adherence to scripts or protocols, problem-solving abilities, and compliance with company policies.
- Feedback and Coaching:
- Provide constructive feedback to call center agents on their performance, highlighting strengths and areas for improvement.
- Offer coaching and training to help agents enhance their skills and meet quality standards.
- Reporting and Documentation:
- Maintain detailed records and documentation of evaluations, scores, feedback, and coaching sessions.
- Generate regular reports on individual and team performance for management review.
- Root Cause Analysis:
- Identify recurring issues or trends in calls and collaborate with relevant departments (e.g., training, operations) to address and resolve
- Compliance and Policy Adherence:
- Ensure that agents adhere to company policies, legal requirements, and industry regulations during customer interactions.
- Process Improvement:
- Propose improvements to call center processes, scripts, training materials, or policies based on insights gained from call evaluations.
- Training and Development Support:
- Assist in the development and delivery of training materials and programs for call center agents.
- Conduct refresher training sessions on specific skills or areas identified for improvement.
- Quality Assurance Metrics:
- Collaborate with stakeholders to establish and refine key performance indicators (KPIs) for call quality.
- Monitor and analyze performance metrics to ensure they align with organizational goals.
- Stakeholder Communication:
- Communicate findings, trends, and improvement recommendations to call center management, supervisors, and relevant departments.
Qualifications:
- Minimum 2 years of experience as a Call Quality Analyst.
- Previous experience in a call center or customer service role is often preferred.
- Strong analytical skills and attention to detail.
- Excellent communication skills, both written and verbal.
- Proficiency in using call monitoring software and tools.
- Knowledge of industry-specific regulations and compliance standards (if applicable).

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Responsibilities:
Design, develop, and maintain high-quality software solutions using programming languages such as Java.
Implement backend services using frameworks like Spring Boot and frontend interfaces using frameworks like React.
Apply deep knowledge of algorithms and data structures to solve complex problems efficiently.
Optimize code for performance, scalability, and reliability.
Work with SQL and NoSQL databases to design, implement, and manage data storage solutions.
Ensure data integrity and optimize database queries. Leverage open-source tools and frameworks to develop scalable and maintainable solutions.
Stay updated on the latest trends in open-source technologies.
Utilize Linux systems for development and deployment.
Automate and streamline processes using Linux tools and scripts.
Develop and maintain mobile applications that align with user requirements and business goals.
Collaborate with cross-functional teams to ensure seamless integration with backend systems.
Work closely with product managers, designers, and other engineers to bring ideas to life.
Participate in code reviews, testing, and debugging to ensure high-quality deliverables.
Qualifications and Skills:
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related discipline.
Strong knowledge of algorithms and data structures.
Proficiency in at least one programming language, preferably Java.
Hands-on experience with backend frameworks like Spring Boot and frontend frameworks like React.
Familiarity with SQL and NoSQL databases.
Solid understanding of Linux systems and tools.
Experience developing mobile applications is highly desirable.
Strong problem-solving skills and ability to work in a fast-paced environment.
Roles and Responsibilities:
- Individuals are responsible for all traditional development activities analysis, design, coding, testing, and documentation.
- Add new features to existing Windows and Web-based applications in Visual Studio 2019. Interacting with internal team.
- Transform business and design needs into innovative products.
- Drive all projects to completion within deadlines.
- Perform thorough testing to find issues ahead of time.
- Engineering software needs more precise analysis & coding skillset
- Enhance skillset by working with fortune 500 clients
- Interacting with internal team.
Qualifications :
- B.E in computer science or related fields.
- Excellent programming & communication skills Strong problem solving, judgmental, and decision-making skills.
- Ability to work at the tactical and strategic levels of IT initiatives.
- Impressive hands-on experience in Java, database(Oracle), OOPS, Java Swing, Javafx.
- Self-Motivated, flexible & Innovative.


The Senior Software development engineer core responsibilities include technically leading a
small team of software development engineers along with writing code in a highly modular,
scalable, maintainable, unit tested platform. You will be working in a fast-paced, agile, dynamic
work environment that has an immediate business impact.
MUST HAVE
● You have 5-7 years of relevant Industry experience.
● You have experience in technically leading a small team of highly motivated engineers,
in guiding them in understanding of requirements, in architecture/design (high level/low
level) of the applications, in best coding and QA practices, in reviewing their software
artefacts.
● You are a rockstar programmer/coder - should be able to convert requirements/design
into code fluently.
● You have a strong concept in design principles, patterns.
● You have good experience in Linux OS.
● You have a solid foundation in computer science, with strong competencies in data
structures, algorithms and software design.
● Have a penchant for solving complex and interesting problems.
● Worked in startups like environment with high levels of ownership and commitment.
● BTech, MTech or PhD in Computer Science or related Technical Discipline - preferably
from premier Engineering colleges.
● Good skills to write unit & integration tests with reasonable coverage of code &
interfaces.
NICE TO HAVE
● Knowledge of databases, Cloud, preferably AWS
● Experience in Python, Python frameworks and libraries, and NodeJS.

Role & responsibilities:
- Developing ETL pipelines for data replication
- Analyze, query and manipulate data according to defined business rules and procedures
- Manage very large-scale data from a multitude of sources into appropriate sets for research and development for data science and analysts across the company
- Convert prototypes into production data engineering solutions through rigorous software engineering practices and modern deployment pipelines
- Resolve internal and external data exceptions in timely and accurate manner
- Improve multi-environment data flow quality, security, and performance
Skills & qualifications:
- Must have experience with:
- virtualization, containers, and orchestration (Docker, Kubernetes)
- creating log ingestion pipelines (Apache Beam) both batch and streaming processing (Pub/Sub, Kafka)
- workflow orchestration tools (Argo, Airflow)
- supporting machine learning models in production
- Have a desire to continually keep up with advancements in data engineering practices
- Strong Python programming and exploratory data analysis skills
- Ability to work independently and with team members from different backgrounds
- At least a bachelor's degree in an analytical or technical field. This could be applied mathematics, statistics, computer science, operations research, economics, etc. Higher education is welcome and encouraged.
- 3+ years of work in software/data engineering.
- Superior interpersonal, independent judgment, complex problem-solving skills
- Global orientation, experience working across countries, regions and time zones
You’ll be responsible for building APIs for a progressive web app. You must know Node.js, Express.js, Mongo.db, and basic Github.
Expectations:
- Design and develop REST API modules.
- Good experience in building and testing API’s and integrating them.
- Assuring the complete stack is designed and built for speed and scalability.
Your Requirement:
- Must know Node.js, Express.js, Mongo.db, and basic Github.
- 1-3 years of backend experience.
- Previously worked on similar projects (e commerce, food delivery, etc).
- Logical and problem solver.
- Optimized and clean code
Good to have:
- Worked on Payment Gateways
- Worked with food tech or similar projects
Hiring Process:
- Round 1 - Task based on backend technologies
- Round 2 - Task review and technical round
Responsibility:
- Complete the goal without missing any deadlines.
- Compensated on feature or hourly basis.
About Menu Cart Private Limited
We are a high growth startup currently experimenting in stealth. We are solving food delivery related problem with gamification features.


- Set up, manage, automate and deploy AI models in development and production infrastructure.
- Orchestrate life cycle management of AI Models
- Create APIs and help business customers put results of the AI models into operations
- Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
- Validate the AI Models
- Make model performant (time and space) based on the business needs
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Processing, cleansing, and verifying the integrity of data used for analysis
- Ensuring that algorithms generate accurate user recommendations/insights/outputs
- Keep abreast with the latest AI tools relevant to our business domain
- Bachelor’s or master's degree in Computer Science, Statistics or related field
- A Master’s degree in data analytics, or similar will be advantageous.
- 3 - 5 years of relevant experience in deploying AI models to production
- Understanding of data structures, data modeling, and software architecture
- Good knowledge of math, probability, statistics, and algorithms
- Ability to write robust code in Python/ R
- Proficiency in using query languages, such as SQL
- Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
- Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
- Having knowledge in CI/CD for the building and hosting the solutions
- We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
- Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies.
- Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
- A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.
Basic Skills/Qualifications
• Master’s/Bachelor’s degree in Computer Science, Computer Engineering (BE/MCA/BCA)
• 5-9 years of strong software design and development experience and building and administering large-scale distributed applications
• Strong communication skills
• Agility and quick learner
• Understanding of the Software development lifecycle
• Good Analytical and problem-solving skills
• Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities
• Should have a high level of energy working as an individual Contributor and as a part of Team.
• Ability to think out of the box and questioning everything
Technical Skills (Hands On)
• Apply Server-side software development expertise, to design, develop and implement horizontally scalable components with the ability to handle large transaction and query volumes with following experience :
• Backend - NodeJS, Server-Side Events (SSE)
• Programming languages - Typescript, JavaScript
• API – REST, GraphQL
• Databases – MySQL, PostgreSQL
• Additional useful programming languages – Java, Scala
• CI/CD experience with:
• Git/TFS, Containers, Ansible
• Test Driven Development (TDD)
• Real-time or near real-time data pipelines
• BPMN 2.0 (Camunda)
• Knowledge of Design Thinking
• Experience working in short agile release cycles
• Enterprise grade development best-practices for end-to-end interoperability and integration
• Design with operational requirements, and support challenges in perspective

Senior Frontend Developer || CSS, HTML, JavaScript, React.js|| 3+ years exp
· Minimum 3+ years of relevant experience · 3+yrs Exp in React.js (Mandatory) · Traits & culture: Entrepreneurial & willing go the extra mile. · Strong knowledge and experience in HTML, CSS, and JavaScript is a must. · Experience developing front-end interfaces by leveraging modern development libraries and tool chains like React, Webpack, etc... · Deep understanding of DOM, Rendering and how the browser works. · Experience building web-based user interfaces for mobile and desktop. · Experience in writing modular and reusable code. · Solid understanding of software development methodologies and processes. · Experience in building fast, fluid, beautiful user experiences and driving growth in consumer websites and web applications. · You are generally curious/interested in tech, motivated, creative/entrepreneurial, energetic, humble and hard-working · Most important - willing to go that extra mile to get the work done. · Bonus points for experience working on Node.js :)
Working days: Mon - Sat (2nd & 4th Sat off) |

