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📌 Power Apps & Power Automate Intern – 3 Months Internship (Unpaid)

Company: [Your Company Name]

Location: Remote / On-site (Specify)

Duration: 3 Months

Stipend: Unpaid

Benefits: Internship Certificate + Letter of Recommendation (Performance-based)

📝 About the Role

We are looking for a tech-savvy and detail-oriented Power Apps & Power Automate Intern to support our digital transformation and workflow automation initiatives. This internship is ideal for students or fresh graduates who want hands-on experience in low-code app development, process automation, and Microsoft ecosystem tools.

🎯 Key Responsibilities

• Assist in building and customizing Power Apps for internal use
• Create automated flows and processes using Power Automate
• Support integration between SharePoint, Power Apps, and other Microsoft 365 tools
• Help troubleshoot app issues, errors, and flow failures
• Maintain documentation of app features, workflows, and process maps
• Collaborate with operations and tech teams to gather requirements
• Test apps and flows to ensure proper functionality
• Improve existing automations for better efficiency and performance
• Assist in data collection, migration, and validation activities

✔ Requirements

• Pursuing or completed a degree in Computer Science, IT, Engineering, or related field
• Basic understanding of Microsoft Power Platform (Power Apps, Power Automate)
• Familiarity with SharePoint, Excel, or SQL is a plus
• Logical and process-driven mindset
• Strong analytical and problem-solving skills
• Good communication and documentation ability
• Ability to meet deadlines and work independently
• Eagerness to learn low-code automation tools

🎁 What You Will Gain

• Hands-on experience in Power Platform development
• Experience in building real business apps and automated workflows
• Exposure to digital transformation and automation projects
• Internship Certificate upon completion
• Letter of Recommendation based on performance
• Strong foundational skills for future Power Platform or automation roles

Design and develop scalable web applications using MEAN/MERN stack.

Build & optimize AI/LLM workflows using LangChain or LangGraph.

Implement vector storage & semantic search using FAISS / Pinecone / Chroma / Milvus.

Build APIs, microservices, and integration layers.

Optimize application performance and ensure code quality.

Collaborate with cross-functional teams (product, design, backend, DevOps).

Must-Have Skills

• Strong experience in Node.js, Express.js, MongoDB, and Angular/React.
• Hands-on experience in LLM apps, RAG pipelines, Vector Databases.
• Practical knowledge of LangChain / LangGraph.
• Experience with REST APIs, authentication, and integrations.
• Solid understanding of Git, CI/CD, and cloud platforms (AWS/Azure/GCP).

WHO ARE We?

WeMakeScholars is a Fintech startup funded and supported by the Ministry of IT, Government of India. We help students get education loans to fund their studies abroad or in India by closely working with 14+ lenders, including public/private banks & NBFC. We currently get around 0.5 million unique visitors a month.

We are the market leader in the education finance segment. Last academic year, we disbursed around 5,000Cr, and this year, we'd be doing more than that. Our team has more than doubled in one year, from 70 to 180 members. Overall, we have seen tremendous growth year-on-year, in every aspect since our inception 7 years ago.

JOB DESCRIPTION

We strongly believe that eventually, every company has to become a tech company. As our website is the face of our company, we must have a strong, organically top-rank website on google to survive & grow in the long term. Since SEO plays an integral part in this, we have decided to invest more time & resources into it. We are looking for an SEO Specialist to be a part of our growth story and we like your profile for it.

You'll be working as the SEO Team Lead, with the assistance of our 6 members tech team, 4 members' content team, and 1 junior SEO Analyst. You will be directly reporting to our Chief Growth Officer who's got more than 11yrs experience with SEO.

IDEAL CANDIDATE

- 3yrs+ experience in SEO (preferably in consumer tech, e-commerce, banking, financial services or education segments)

- expertise in Google Analytics/SEMrush/similar web analytics platform

- well-versed with Google Algorithm updates

- Very high attention to detail, obsessed with the details & spotting opportunities to optimize

- Excellent communication (written and verbal) & interpersonal skills and a very high sense of ownership and integrity

JOB PERKS

With us, you not only get a competitive compensation package but also excellent career progression, healthy work-life balance, flexible working hours, leaves, work from home policies. Most importantly, working under our Senior SEO leadership, you'll have a steep learning curve and a great learning experience.

Package: Up to 20 LPA

Role : Nodejs developer

Please find below the JD for the Nodejs developer..

 Role: NodeJs Developer 

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. A basic understanding of front-end technologies is necessary as well. Responsibilities

 • Collaborate with other members of the team, such as front-end developers

 • Writing reusable, testable, and efficient code 

• Design and implementation of low-latency, high-availability, and performant applications 

• Implementation of security and data protection

 • Integration of data storage solutions • Writing unit test cases • Documenting application changes and developing updates. 

Skills 

• Strong proficiency with JavaScript 

• Experience of Node.js and frameworks available such as Express

 • Practical experience with REST, PostgreSQL, WebSocket, MongoDB, Redis. 

• Understanding the nature of asynchronous programming and its quirks and workarounds 

• User authentication and authorization between multiple systems, servers, and environments 

• Integration of multiple data sources and databases into one system 

• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform • Creating database schemas that represent and support business processes

 • Implementing automated testing platforms and unit tests

 • Proficient understanding of code versioning tools, such as Git

 • Good understanding of front-end technologies, such as HTML5, and CSS3  

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Skills:

• Experience in predictive modelling and predictive software development
• Skilled in Java, C++, Perl/Python (or similar scripting language)
• Experience in using R, Matlab, or any other statistical software
• Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
• Strong communication and data presentation skills

• Classification (svm, decision tree, random forest, neural network)
• Regression (linear, polynomial, logistic, etc)
• Classical Optimization(gradient descent, newton raphson, etc)
• Graph theory (network analytics)
• Heuristic optimisation (genetic algorithm, swarm theory)
• Deep learning (lstm, convolutional nn, recurrent nn)

Must Have:

• Experience: 3-9 years
• The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
• The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
• Preferred experience with large data sets & distributed computing in Hadoop ecosystem
• Fluency with databases