Tosca Test Automation

About PGAGI:

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

About the Role

We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.

You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.

Key Responsibilities

AI / ML ENGINEERING

Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.

Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.

BACKEND ENGINEERING

Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.

Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.

VERSION CONTROL & COLLABORATION

Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.

Duration & Compensation

Duration: 6 Months

Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance

Perks & Benefits

Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.

Selection Process

Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead

Requirements

MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.

GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.

SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.

TECH YOU'LL WORK WITH

Python

Next.js

Node.js

FastAPI

LLMs / NLP

PostgreSQL

React

Docker

HuggingFace

OpenAI API

GitHub

REST / GraphQL

Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

Job Title: Data Engineer

Experience: 4–14 Years

Work Mode: Remote

Employment Type: Full-Time

Position Overview:

We are looking for highly experienced Senior Data Engineers to design, architect, and lead scalable, cloud-based data platforms on AWS. The role involves building enterprise-grade data pipelines, modernizing legacy systems, and developing high-performance scoring engines and analytics solutions and collaborate closely with architecture, analytics, risk, and business teams to deliver secure, reliable, and scalable data solutions.

Key Responsibilities:

·      Design and build scalable data pipelines for financial and customer data

·      Build and optimize scoring engines (credit, risk, fraud, customer scoring)

·      Design, develop, and optimize complex ETL/ELT pipelines (batch & real-time)

·      Ensure data quality, governance, reliability, and compliance standards

·      Optimize large-scale data processing using SQL, Spark/PySpark, and cloud technologies

·      Lead cloud data architecture, cost optimization, and performance tuning initiatives

·      Collaborate with Data Science, Analytics, and Product teams to deliver business-ready datasets

·      Mentor junior engineers and establish best practices for data engineering

Key Requirements:

·      Strong programming skills in Python and advanced SQL

·      Experience building scalable scoring or rule-based decision engines

·      Hands-on experience with Big Data technologies (Spark/PySpark/Kafka)

·      Strong expertise in designing ETL/ELT pipelines and data modeling

·      Experience with cloud platforms (AWS/Azure) and modern data architectures

·      Solid understanding of data warehousing, data lakes, and performance tuning

·      Knowledge of CI/CD, version control (Git), and production support best practices

Design & Prototyping

· Figma (Advanced) for high-fidelity prototyping, design systems, and modular component design

· Material UI (MUI) design guidelines for consistent, scalable interface patterns

· Prototyping tools for simulating real-time data flows and interaction models

Research & Strategy

· User Research & Usability Testing methodologies to validate simulation workflows

· Design Workshops for requirement discovery and cross-functional ideation

· Interaction Design focused on complex data manipulation and 3D/Spatial contexts

Standards & Delivery

· ESRI GIS UI patterns for geospatial data visualization and mapping interfaces

· Accessibility (WCAG) standards to ensure inclusive digital twin experiences

· Design-to-Developer Handoff processes using tokens and structured documentation

Preferred Qualifications

· 8+ years of professional experience in UX/UI design, with a strong portfolio showcasing complex data-driven applications.

· Advanced mastery of Figma, including variables, auto-layout, and complex prototyping.

· Proven ability to work independently and lead design initiatives from discovery to handoff.

· Deep understanding of Material UI principles and Responsive Design for high-density data dashboards.

· Strong experience in Interaction Design specifically for technical or industrial software.

· Excellent communication skills for presenting design rationale to technical architects and business stakeholders.

Position Summary:  

The individual should be self-motivated, creative and proactive to work successfully in a  

fast-paced environment including multiple platforms and architectures, and diverse technologies. The  

Individuals will work closely with developers, project managers and other stakeholders.  

Minimum Requirements:  

Experience/Skills:  

• Excellent verbal and written communication skills  
• Primary Skillset:  Strong Core Java experience (Java 8 concepts), JSPs, Servlets, Struts Framework 

• Strong in Spring core, MVC and Spring JPA 
• Working experience on UI using jQuery, JavaScript and CSS 
• Experience in Angular is an added advantage. 
• Strong knowledge of XML handling and JSON implementation 
• Strong knowledge of Web Services (REST API) 

• Experience in handling SQL and PL/SQL, preferably SQL Server 
• Knowledge of Postgres is an added advantage. 
• Experience in writing unit test cases with whole code coverage 
• Experience in JMS implementations preferably Apache Active MQ 
• Should be able to write Unit test cases with whole code coverage 

**Gender: Female only**

**UAE (Abroad Job Opening)**

• Greet and assist clients, visitors, and suppliers in a professional manner

• Handle incoming and outgoing phone calls, emails, and messages

• Maintain visitor records and coordinate with departments for appointments

• Manage front office operations — filing, courier handling, and correspondence

• Support the HR and Admin team with documentation and scheduling

• Maintain a clean and organized reception area

• Assist in basic clerical and administrative tasks as required

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

Position - Senior Salesforce Consultant

Experience - 3+ years

Location - Gurgaon / Jaipur / Remote

Concretio was incorporated in 2014 by Mr. Abhinav Gupta (Salesforce MVP 8 times in a row) and Anjana Gupta, with a motive to build a team of passionate individuals, who want to develop high-quality solutions and enjoy challenges posed by rapidly changing technology. Concretio Apps aims to grow steadily with its positive and friendly environment. Flexi work timings and work from home option (Once you are on client project), fully paid Certifications, 360 degree grooming, 5 days a week and great work life balance are some of our key USPs, along with other employee-friendly policies. We are looking for highly skilled Salesforce Developers OR Other Tech Developers (Java / Javascript / Angular / PHP / .NET) who love to stay on the technical side of the curve and look to groom themselves as a Salesforce Architect going forward. You will get a training to work in Cloud Computing (Salesforce & its Lightning Javascript framework as well). At Concretio, we believe that work can happen from anywhere. We believe people should be able to work and learn together whether they're across the table or across the world from each other. We are open for the Remote / Work from Home option as well, so location is not a constraint any more.

Job Responsibilities

● Developing applications for the Salesforce.com platform.

● Developing Javascript frontend/apps and integrations using REST/SOAP JSON/XML.

● Coding APEX and custom applications for Salesforce instances.

● Design, code, configure, document, deliver and support solutions to meet business needs in Salesforce, including configurations, customisations, and integrations.

● Work with Application Architects and Tech Leads to design integrations between Salesforce.com and other systems across the enterprise.

● Code, configure, unit test and create supporting documentation for application development tasks.

● Demonstrated experience building integrations with Salesforce.com (REST/SOAP - XML/JSON) Soft Skills Checklist

● Always learning attitude, with the rapidly changing Salesforce and Tech landscape, it’s a must.

● Consultant mindset, we will help you develop these soft skills, but an open attitude is needed. Talking to a client/business-user, understanding their pain points, and delivering a solution is key to project success here.

● Sense of ownership and self-discipline: We don’t like chasing our people for status multiple times a day. If you are one who enjoys taking ownership of tasks and delivering them without much monitoring, you will love it here. Tech Skills Checklist

● Strong Salesforce basics i.e. Configuration/Clicks concepts.

● Apex, Visualforce/Lightning(Aura/LWC).

● Excellent programming skills with a good understanding of OOPS.

● Knowledge of any DBMS (Tables, Joins, Relationships, SQL, Normalisation).

● Knowledge of core HTML, CSS and Javascript concepts.

● Experience of Chrome Extensions/Apps, Electronjs or NativeScript (nice to have). Cultural Alignment Checklist

● The educational part doesn't matter much

. ● CODING: Know, love and be comfortable in it.

● OPEN Mindset: An open, curious and learner profile is a must. WWW is changing at a crazy pace, we need someone who is open to adapt to this pace of change in Salesforce and tech

● We expect our team to crack suitable Salesforce certifications as KRAs, and happily sponsor the fees for the same.

● Sense of Ownership: We are not going to put a manager on your head, who will seek status updates every few hours (multiple times in a day). You will be given a task, and expectations will be to own the 100% success and failure for the same. We are never short on public praise and giving credit for a successful show.

● Excellent Craftsmanship: We differentiate and take pride in what we build and deliver to customers across the globe. Mediocrity is not appreciated here in anything. Top-quality code, deliverable, and communication is something we expect and continuously work to improve on a day to day basis.

● Strong Communication Skills: It's actually a MUST have for your experience level. Nice to have

● Salesforce Communities (Classic and using Communities). ● Taking ideas to AppExchange (OEM, Security Review). ● Developing SPA (Single Page Applications) in Salesforce.

● Hands-on experience in one or more JS/CSS frameworks (jQuery, React, Angular, Vue, Bootstrap, Foundation, etc).

● Hands-on experience of Cordova, Ionic, and Hybrid mobile development.

● How OAuth, SOAP, SAML, and other integration patterns work.

● NoSQL and how modern database systems work.

● Classic DBMS MySQL, Postgres etc.

● AWS, Google or Microsoft cloud experience

Desired Candidate Profile

• A Bachelor’s degree in Business or related field or an MBA
• A minimum of 3 years’ experience in business analysis or a related field
• Exceptional analytical and conceptual thinking skills
• The ability to influence stakeholders and work closely with them to determine acceptable solutions
• Excellent documentation skills
• Fundamental analytical and conceptual thinking skills
• Experience creating detailed reports and giving presentations
• Competency in Microsoft applications including Word, Excel, PowerPoint and Outlook
• Excellent planning, organizational and time management skills

REQUIRED EXPERIENCE AND SKILLS:

Experience:

3-9 Years of experience into C#, .Net & WPF(mandatory).

Technology skills:

Mandatory

 Strong background in Software Development/Engineering

 Good experience of the n-Tier architectures with REST web services (WebAPI would be a plus).

 Hands on experience with .NET 4.5, C#, WPF with MVVM or PRISM and WebAPI or WCF

 Should have worked on SQL Server

 Worked on LINQ and Entity Framework

 Sound Knowledge of SOA Principles.

 Experience with Agile/Scrum Organization.

 Experience with ATDD / TDD (Fitnesse for the ATDD would be a plus)

 Experience with Continuous Integration environments (TeamCity would be a plus)

 Experience with TFS as a source code repository and as a Scrum tool.

 Excellent communication skills with fluent English.

Preferred

 Knowledge on UML, design patterns, design principles such as SOLID / DRY and best coding practices.

 Proven ability and interest in building new application feature which interacts with existing application and infrastructure.

Methodology skills

 Test Driven Development

 Agile-Scrum

 Domain Driven Design

Role : Academic Consultant
Location : Bangalore
Experience : 1+ years

Skills
Good Communication skills

• Advise student/ parents for their learning needs through structured Counselling Sessions
• Fix appointments and conduct home demo sessions on daily basis including follow up sessions
• Understand Customer profile & problems to explain implication of ineffective learning methods
• Create the need for Smart Learning and advise student-parent to buy Toppr Subscription as solution
• Handle Objections and Price Negotiation to generate Sales Revenue
• Learn/ Upgrade ones own Product Knowledge and Sales Skills to achieve and
• exceed growing Sales target(s)
• Best Incentives in industry (Unlimited Incentives)