Requirements:
- Educational Qualification: BCS, MCS, BCA, MCA or equivalent degree in trade/commerce stream with domain knowledge in indirect taxation.
- Prior work experience in tax software solution or tax advisory companies preferred.
- Ability to effectively service large portfolio of customers
- Excellence in Interpersonal Skills with strong command on spoken and written communication skills
- Ability to thrive in a multi-tasking environment
Roles and Responsibilities:
- Guide a team of customer support associates on customer issue investigation and resolution by applying understanding of GST compliance requirements, GSTN APIs, Eway Bill APIs and E-Invoicing APIs etc.
- Logging and keeping records of customer/employee queries
- Analysing call logs so you can spot common trends and underlying problems, to guide support team
- Updating self-help documents or preparing FAQ’s, to build knowledge base of support team on issues raised by ASP Partners and Corporates.
- Ensure timely response to customers with accurate guidance for issue resolution, by measuring the performance of support team on response SLA and quality of response.
- Manage ongoing interaction with key client relationships to build the relationship to level of being the preferred and only service provider for GST compliance requirements.
- Manage monthly billing operations across customer portfolio – including a good control on receivable ageing and reporting to management on realization delays which require management intervention.
- Manage regular interaction with GST Network for customer issues. Build a strong relationship with GST Network to achieve quicker turnaround from GSTN on deliverables.
- Keep a close watch on any updates from GSTN and/or the ASP-GSP ecosystem, to convey relevant updates to our customer portfolio.

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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
The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance.
Key Responsibilities
•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments
•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval
•Implement data ingestion patterns for structured and unstructured sources (APIs, databases, files, event streams, documents)
•Build and maintain transformation workflows with strong testing and validation
•Enable Retrieval-Augmented Generation (RAG) by preparing document corpora, chunking strategies, metadata enrichment, and vector indexing patterns
•Integrate data pipelines with application services
•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement
•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents
•Apply data governance and security best practices
•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions
•Contribute to reusable patterns, templates, and standards within the Bell Techlogix AI Center of Excellence
Required Qualifications
•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
•5+ years of experience in data engineering, analytics engineering, or platform data operations
•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts
•Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Databricks, Storage, Key Vault) or equivalent cloud tooling
•Experience building reliable pipelines with scheduling, dependency management, and automated testing/validation
•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis
•Understanding of data security, privacy, and governance principles in enterprise environments
Preferred Qualifications
•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning
•Experience with unstructured data processing for generative AI
•Familiarity with vector databases or vector search and RAG patterns
•Experience with event streaming and messaging
•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting)
•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks)
Job description
Job Title: Python Trainer (Workshop Model Freelance / Part-time)
Location: Thrissur & Ernakulam
Program Duration: 30 or 60 Hours (Workshop Model)
Job Type: Freelance / Contract
About the Role:
We are seeking an experienced and passionate Python Trainer to deliver interactive, hands-on training sessions for students under a workshop model in Thrissur and Ernakulam locations. The trainer will be responsible for engaging learners with practical examples and real-time coding exercises.
Key Responsibilities:
Conduct offline workshop-style Python training sessions (30 or 60 hours total).
Deliver interactive lectures and coding exercises focused on Python programming fundamentals and applications.
Customize the curriculum based on learners skill levels and project needs.
Guide students through mini-projects, assignments, and coding challenges.
Ensure effective knowledge transfer through practical, real-world examples.
Requirements:
Experience: 15 years of training or industry experience in Python programming.
Technical Skills: Strong knowledge of Python, including OOPs concepts, file handling, libraries (NumPy, Pandas, etc.), and basic data visualization.
Prior experience in academic or corporate training preferred.
Excellent communication and presentation skills.
Mode: Offline Workshop (Thrissur / Ernakulam)
Duration: Flexible – 30 Hours or 60 Hours Total
Organization: KGiSL Microcollege
Role: Other
Industry Type: Education / Training
Department: Other
Employment Type: Full Time, Permanent
Role Category: Other
Education
UG: Any Graduate
Key Skills
Data Science,Artificial Intelligence
Role: Other
Industry Type: Education / Training
Department: Other
Employment Type: Full Time, Permanent
Role Category: Other
Education
UG: Any Graduate
Selected intern's day-to-day responsibilities include:
1. Provide a delightful renting experience to customers
2. Help maximize sales at all opportunities and provides a friendly and welcoming environment
3. Achieve individual/team sales targets
4. Communicate effectively with customers to determine needs
5. Demonstrate ways to increase store productivity
6. Apply sales transaction knowledge to process routine discounts, gift certificate sales, special orders, exchanges, refunds, credit vouchers and alterations
7. Participate in all merchandising activities including, but not limited to daily stock maintenance, product transfers, and floor changeovers
8. Maintain a professional and personal appearance consistent with established guidelines
9. Actively support securing company assets through effective loss prevention in compliance with company policies and procedures
10. Accurately enters customer and product information into company backend tools on a day to day basis
11. Ensure ease of customer shopping experience by maintaining replenishment, quality checks, visual merchandising and hygiene standards
About the company: Our Client works in the area of skilling and livelihoods for underserved youth. This is a pioneering program with a strong PPP model, an agency-led approach to livelihoods
and a vision of socio-economic transformation. The Lighthouses are run through a public-private partnership that empowers the Government, Corporates, NGOs and Citizens to work together
towards changing lives.
About the Role
The Assistant Manager - Compliance & Governance will be responsible for overall financial compliance and governance for the organisation. The position is responsible to work with Senior Leaders enhancing financial processes for facilitating growth of the organization.
We are seeking a highly motivated team player with the ultimate aim to serve 1 million youth by 2030 .This is an exciting opportunity to play an important role in a growing team, and to contribute to strategy, systems development and compliances management.
Roles and responsibilities:
1. Compliances:
● End to End management of compliance requirements for LCF.
● Responsible for organising MIS review meetings as per the timelines.
● In consultation with all concerned,compliance trackers and dashboards and ensure they are accurately and timely updated.
● Support in development and review of MOU’s, agreements and any other documents as required.
● Ensure compliances for Section 8 non profit rules/governance of statutory reporting.
2. Board Management:
● Preparation and Signing of minutes of all board meetings and committee meetings during the year.
● Provide insightful and accurate reports to the Board of Trustees and Senior Management as and when required.
3. Systems & Processes:
● Support in setting up systems for the corporate development team on a need basis.
● Stay informed about programmatic developments at all levels to document them in strategic reports.
● Contribute to any reports, collaterals due for Donor or internally.
● Any other responsibilities assigned by the immediate line manager
What are we looking for:
● Education: CS/CA/Post graduate in Finance
● Experience: Minimum experience of 3-6 years. Preferably prior experience of working in compliances & finance management.
● Data management skills – Hands-on experience in project management and data driven program evaluation
● Strong knowledge of FCRA laws,NGO compliances.
● Should be proactive and detail oriented.
● Ability to work independently with minimal supervision.
● Analytical skills
● Problem-solving skills
● Excellent verbal and written communication skills.
● Prior experience of working with state and national governments.
● Proven track record of timely and accurate submission of monthly, quarterly and annual reports.
Base Location: Aundh, Pune, Maharashtra
Regards
Team Merito
Krafty Solutions is looking for an enthusiastic, energetic, young-minded mobile application developer who take pride in the work they do.
Krafty Solutions is a product design and development studio where you will learn a lot in your field by working in a very friendly environment. An opportunity will be given based on your preference.
About You
If you're the guy who has a strong bias for making things happen, always wears a smile on your face, with a proactive attitude then we would like to meet you. You will work closely with your team leader who will help you to learn new things as well as resolve your doubts. If you're interested in creating a user-friendly environment by writing code and moving forward in your career, then this job is for you. We expect you to be a tech-savvy professional, who is curious about new digital technologies and aspires to combine usability with visual design.
Knowledge
- Strong knowledge of OOP, Java and Android SDK.
- Experience in RESTful, JSON and XML parsing, SQLite, Push Notification, Payment Gateway Integration, In app Purchase
- Experience of integrating third-party libraries.
- Hands on with Kotlin, Android-KTX libraries and Unit testing (Junit, Espresso, Mockito, Firebase Test-case)
- Hand on experience on Android UI Development (Material Design Component), multiple device resolution support, landscape and tablet support, multi-language & RTL support in layout.
- Understanding of App Lifecycle, Activity, Fragment, Background Service, Broadcast, Gradle, Memory management, Threading etc.
- Understanding of architecture design patterns like MVP and/or MVVM
- Android jetpack component(Room, DataBinding, LifeCycle, LiveData, Navigation, Paging, ViewModel, WorkManager)
- Proficient understanding of code versioning tools (e.g. GIT)
- Data binding library, constraint layout, RxJava concepts,
- Experience with publishing app on Google Play Console and managing the app lifecycle
- GraphQL knowledge is a plus
Responsibilities and Duties
- Overall responsibility and accountability for Android App
- Hands-on coding, systems analysis, design, and delivery of projects assigned.
- Overall App Design - code, performance, security, size
- Deliver new features, execute on the roadmap and plan for the future.
- Convert app requirements into actionable and tangible items for all stakeholders
- Release planning and timely integration with other stakeholders (product, backend, frontend, ui/ux etc)
- Proactive ANR, other crash fixes etc
- Continuously discover, evaluate, and implement new technologies to maximize development/performance etc
- Improve product quality through code reviews, writing effective unit tests, and collaborating with QA
Key Skills
- Kotlin, Java, RxKotlin, RxJava, Android SDK, Android Studio, Git Required
- Education - B.E/ B.Tech/BCA/MCA/MSc IT degree in Computer Science, Engineering or a related subject
- Experience - 3-6 yrs
Benefits
- Great Company Culture - A relaxed, friendly and positive company culture with a dynamic young team
- Work-Life Balance - Genuine work/life balance served at Krafty.
- A Well Earned Rest - You will get 11 paid public holidays as well as 12 paid leaves. So, a total of 23 HOLIDAYS
- Flexible working hours - Reaching late at the office would never be an issue for you. Fully remote culture
- Weekends Off - Saturday & Sunday Fixed Off
- A candidate with 2+ years of experience in building high-quality Android apps.
- A strong understanding of the full life cycle of app development.
- Experience in designing, developing, debugging and deploying software for server-side development using Java/ Kotlin language.
- Understanding and the sound of Android SDK, in different versions of Android, and how to effectively write code for a multitude of Android devices.
- Excellent knowledge of Android design principles and third-party libraries
- Experience in building RESTful API's focusing on integration with back-end services.
- Hands on experience with continuous integration.
- Passionate about Android and are always up to date with the latest industry trends concerning OS, devices, applications, web technologies and new user interactions as they are released.










