Quality Analyst

The ideal candidate will develop relationships with individuals seeking hair loss treatment consultations, offering tailored solutions based on factors such as facial features, age, profession, personality, and expectations.

Responsibilities:

• Conduct comprehensive hair assessments to determine the stage of hair loss.
• Educate clients on the fundamentals of hair loss and provide personalized counseling based on their needs.
• Understand client expectations, present suitable procedures and products, and articulate achievable outcomes through visual aids.
• Establish daily consultation and conversion targets, analyzing performance regularly.
• Meet monthly conversion goals, contributing to revenue growth at the studio.

Qualifications and Skills:

• Bachelor's degree in Business or equivalent practical experience.
• Preferred age: 32 years and above.
• Minimum 5 years of experience in sales consulting and business intelligence.
• Strong written and verbal communication skills.
• Ability to multitask, organize, and prioritize workload effectively.
• Customer-centric approach to sales and service.

This position offers an opportunity to engage deeply with clients, providing them with informed guidance and solutions tailored to their individual needs, while contributing significantly to the studio's growth objectives.

About Vijay Sales

Vijay Sales is one of India’s leading electronics retail brands with 160+ stores nationwide and a fast-growing digital presence. We are on a mission to build the most advanced data-driven retail intelligence ecosystem—using AI, predictive analytics, LLMs, and real-time automation to transform customer experience, supply chain, and omnichannel operations.

Role Overview

We are looking for a highly capable AI Engineer who is passionate about building production-grade AI systems, designing scalable ML architecture, and working with cutting-edge AI/ML tools. This role involves hands-on work with Databricks, SQL, PySpark, modern LLM/GenAI frameworks, and full lifecycle ML system design.

Key Responsibilities

Machine Learning & AI Development

• Build, train, and optimize ML models for forecasting, recommendation, personalization, churn prediction, inventory optimization, anomaly detection, and pricing intelligence.
• Develop GenAI solutions using modern LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Explore and implement RAG (Retrieval Augmented Generation) pipelines for product search, customer assistance, and support automation.
• Fine-tune LLMs on company-specific product and sales datasets (using QLoRA, PEFT, and Transformers).
• Develop scalable feature engineering pipelines leveraging Delta Lake and Databricks Feature Store.

Databricks / Data Engineering

• Build end-to-end ML workflows on Databricks using PySpark, MLflow, Unity Catalog, Delta Live Tables.
• Optimize Databricks clusters for cost, speed, and stability.
• Maintain reusable notebooks and parameterized pipelines for model ingestion, validation, and deployment.
• Use MLflow for tracking experiments, model registry, and lifecycle management.

Data Handling & SQL

• Write advanced SQL for multi-source data exploration, aggregation, and anomaly detection.
• Work on large, complex datasets from ERP, POS, CRM, Website, and Supply Chain systems.
• Automate ingestion of streaming and batch data into Databricks pipelines.

Deployment & MLOps

• Deploy ML models using REST APIs, Databricks Model Serving, Docker, or cloud-native endpoints.
• Build CI/CD pipelines for ML using GitHub Actions, Azure DevOps, or Databricks Workflows.
• Implement model monitoring for drift, accuracy decay, and real-time alerts.
• Maintain GPU/CPU environments for training workflows.
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Must-Have Technical Skills

Core AI/ML

• Strong fundamentals in machine learning: regression, classification, time-series forecasting, clustering.
• Experience in deep learning using PyTorch or TensorFlow/Keras.
• Expertise in LLMs, embeddings, vector databases, and GenAI architecture.
• Hands-on experience with HuggingFace, embedding models, and RAG.

Databricks & Big Data

• Hands-on experience with Databricks (PySpark, SQL, Delta Lake, MLflow, Feature Store).
• Strong understanding of Spark execution, partitioning, and optimization.

Programming

• Strong proficiency in Python.
• Experience writing high-performance SQL with window functions, CTEs, and analytical queries.
• Knowledge of Git, CI/CD, REST APIs, and Docker.

MLOps & Production Engineering

• Experience deploying models to production and monitoring them.
• Familiarity with tools like MLflow, Weights & Biases, or SageMaker equivalents.
• Experience in building automated training pipelines and handling model drift/feedback loops.

Preferred Domain Experience

• Retail/e-commerce analytics
• Demand forecasting
• Inventory optimization
• Customer segmentation & personalization
• Price elasticity and competitive pricing

• Developing new user-facing features using React.js.
• Build reusable components and front-end libraries for future use.
• Translate designs and wireframes into high-quality code.
• Optimize components for maximum performance across a vast array of web-capable devices and browsers.
• Design a modern highly responsive web-based user interface.

Skills and Competencies;

• Bachelor's degree in computer science preferred.
• 3-5 years of demonstrated experience.
• Good knowledge of HTML5, CSS3.
• Strong proficiency in Javascript.
• Strong working knowledge of React JS and web apps.
• Good working experience using API in UI development.
• Should be able to do responsive design and cross-browser compatibility.
• Willingness to experiment and take complete responsibility for projects.
• Work independently and remote, with excellent follow-up, time management, and organization skills.
• Any additional knowledge of/familiarity with programming, in general, would be a great added bonus.
• Knowledge of Jira/confluence.
• Familiarity with code versioning tools such as Git.
• A team player with a problem-solving aptitude.
• Fluent in a second language preferred, good level of verbal English required.

LearnApp's engineers are a small group of people who directly impact the daily lives of thousands of learners across the globe. 
As a software engineer, you are the architect, designer and coder and maintainer of your project. 
In addition, you work closely with the product team to make vision become reality. 
You are dynamic and able to work well both independently and as part of a team.

At LearnApp, we leave all egos at the door and concentrate on the job at hand. 
We value passionate, down to earth, “can do” people who enjoy fine-tuning small details, without losing sight of the big picture. 
We are looking for the type of person who feels uncomfortable when a day goes by without achieving something impactful. 
Someone who is driven to get things done and views obstacles as an exciting challenge that demands a creative solution. 
Above all else, this role requires someone who takes great pride in their work and is inspired and motivated by their role in improving the way thousands of learners receive financial literacy.

As a Backend Software Engineer, you’ll work closely with our engineers to ensure system consistency and improve user experience.

Responsibilities

- Analyze functional requirements and creation of software design
- Design and implement scalable and robust applications
- Design, develop, test, deploy, maintain, and improve software
- Design, shape and implement authentication, authorization, auditing, reporting, and API infrastructure solutions

Qualifications

- Bachelor's degree in Computer Science, a related technical field of study, or equivalent practical experience
- Experience in Object-Oriented Design and programming concepts
- A minimum of 3 years of working experience in a product oriented company
- Programming experience in NodeJS and Typescript or Javascript

Preferred Qualifications

- Experience in building cloud (SaaS) applications, particularly using AWS technologies
- Experience in building serverless applications
- Knowledge of Agile software development methodologies
- Ability to learn other coding languages as needed
- Object-oriented, database design, and SQL skills

Perks

• Work directly with the other Software/Firmware Engineers and Electrical/RF/Systems Test Engineers to write needed software
• Design and implement software platform for firmware on embedded CPUs with multiple OS such as Windows, Linux, FreeRTOS, TI-RTOS and embedded Linux
• Use compliers, debuggers revision control and automated build systems.
• Design/develop components of software platform for use by other developers to extend its capabilities and build custom applications/behavior on top
• Develop build methodologies, debugging tools/utilities
• Develop and release Software using Agile methodology
• Write unit tests and support continuous integration and automated test methodology
• Brainstorm for new ideas and ways to improvement product and processes
• Consult with peers for feedback during debug/testing stages
• Document and maintain design processes