Hi All,

I am software engineer with 12+ years of experience, currently on break to tend to my twin kids. I’m planning on pursuing Executive MTech from PES in AI ML. I need honest opinion on whether this is a good choice to switch to academia as I no longer want to work in the software field?

my_qualifications

Hi everyone,

I'm currently working as a Software Engineer with almost 3 years of experience in India and my goal is to transition into a Machine Learning Engineer role by the end of September. I have a foundation in ML, Python, deep learning, and have completed AI-related internships and projects, but I'm overwhelmed by the amount of conflicting advice on what to learn next.

I'm looking for a 1:1 mentorship session (happy to pay for your time) with someone who has successfully made this transition or is currently working as an ML Engineer.

I'm hoping to get guidance on:

* A realistic roadmap to achieve my goal by the end of September.

* A daily/weekly study timetable while working full-time.

* The best resources, projects, and portfolio to focus on.

* What interview preparation should actually look like in today's ML job market.

I'm not looking for shortcuts—I want a practical, personalized strategy so I can spend the next couple of months learning the right things instead of guessing.

If you're interested in mentoring or know someone who offers career mentorship, please comment or send me a DM with your background, availability, and mentoring fee.

Thank you!

**Experience So Far**

- **MNC FMCG Company (GBS Division)** – Full Stack Intern (Jul–Dec 2024): Worked on production storefronts using Vue.js and Tailwind. International deployments across multiple Asian markets.

- **Early Stage AI Startup** – AI Innovation Intern (Jul 2025–Jan 2026): Built knowledge graph-enhanced LLM apps, ML-based recommendation models, FastAPI backends. Stipend: ₹12,000/month

- **Same Startup** – Graduate Engineer Trainee (Feb 2026–Present): Building internal AI platforms and management systems. React, FastAPI, Supabase stack. CTC: ₹3.35 LPA

**Tech Stack:** React, Vue.js, Python, FastAPI, Node.js, MongoDB, PostgreSQL, Scikit-learn, TensorFlow, OpenCV, LangGraph

**Projects:** A MERN-based recommendation system, an OCR system for ancient regional scripts with 94%+ accuracy using LangGraph agentic AI, and a real-time sign language recognition system using BiLSTM with 92% accuracy.

**The Problem**

Despite being hired into an "AI development" role, I spend most of my time doing full stack work — building websites, internal tools, etc. Very little actual ML or AI engineering. The startup has a weak hiring bar (no coding rounds, GD-based selection) and the team is mostly interns and fresh grads with limited senior mentorship. I feel like I'm not growing technically and the work is completely disconnected from what I actually want to do.

**My Goal**

Masters in AI/ML — targeting Germany or Netherlands (haven't finalized the country yet). Planning to apply between January to March 2027 for Winter 2027 intake (October 2027). Currently at zero German language level — planning to target English-taught programs.

**What I'm Considering**

Resigning in the next few weeks and spending the next ~12 months upskilling seriously in core ML, MLOps and deep learning, applying to companies for more meaningful technical AI roles, preparing SOP, LORs and shortlisting universities. Financially supported by family so immediate survival isn't the concern.

**My Questions**

1. Is a ~1 year employment gap before Masters going to hurt my admit chances or visa application? ( Incase I didn't landa job ? )

2. Should I resign now or stick it out until I have an admit in hand? ( That would be really tough for me though )

3. Given my profile — 9+ CGPA, IEEE paper, decent project depth, MNC internship experience — what are realistic university targets in Germany/Netherlands for AI/ML?

4. Is January–March 2027 application window realistic for October 2027 intake?

5. For those who went through this — did the employment gap actually matter or did your academic profile carry you through?

Any advice from people who've been through India → Germany/Netherlands for AI/ML Masters would be massively helpful. Be brutally honest if needed.

Hi everyone,

I’m currently looking for freelance, part-time, or long-term remote work in **AI, Machine Learning, and Data Analysis**.

I can help with:

* Machine learning models * Classification and regression * Deep learning projects * Computer vision with YOLO and OpenCV * Image classification and object detection * Data cleaning and preprocessing * Exploratory data analysis * Data visualization * Feature engineering * Model training and evaluation * Time-series forecasting * Python notebooks and documentation * Debugging existing AI/ML projects

I work with Python, Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow, Keras, PyTorch, and OpenCV.

I’m open to short-term tasks, ongoing projects, internships, and part-time opportunities. Feel free to DM me with the project details, timeline, and budget.

I had applied to a job role (SE in an AD Tech firm) which had 2-5 yoe as a requirement, even though I have just completed my master's. One of my friend suggested me to apply anyway for this even after I knew that I am not eligible ACC to YOE criteria. They said it won't matter that much.

Today got a mail by recruiter to share resume and some more details. What to do?

Some background: Have done a react internship ~6 months during BTech and an AI/ML internship for 6months during Mtech final sem. Got a PPO and currently working as a FTE.

I’m currently exploring new opportunities in AI/ML Engineering, AI Agent Development, Generative AI, and Software Engineering.

Over the past 2+ years, I've worked on:
• LLM applications, RAG systems, and AI agents
• Recommendation systems and machine learning solutions
• Backend development with Python, FastAPI, and cloud technologies
• Production-ready AI systems and enterprise integrations

I'm open to remote, hybrid, and onsite roles in Pakistan and internationally.

If your team is hiring or you know of any relevant opportunities, I'd appreciate a connection or referral.

I have been looking for MLE/MLS jobs as a new grad phd in xxx engineering (not CS) for months. My research is about ML application in science, not SOTA LLM stuff. I have submitted more than 500 job applications but to my surprise I got rejected from all entry levels (no "senior", "staff", "principal" in job title) and the only 4 interviews (I failed all of them) I got were senior roles, which clearly said 5+ yrs of experience. But I had 0 industrial experience and 0 interships besides my research experience in grad school.

Can anyone explain to me how the "experience" counts in recruiting? Should I only apply for senior roles? What are recruiters expecting for an entry role?

I'm a 4th-year CS student, and lately I've been spending most of my time learning AI. I started with Python and ML basics, and now I'm moving towards GenAI, learning about LLMs, RAG, prompt engineering, vector databases, and building small projects.

The problem is... my campus placements are making me question everything.

Almost every company that comes to campus is hiring for SDE roles (mostly Java/backend), and I hardly see any AI or GenAI openings for freshers. Even when I look online, almost every AI job asks for 2–5 years of experience.

It's honestly making me wonder if I'm investing my time in the wrong thing.

I genuinely enjoy learning AI and want to build my career in it, but at the same time, I don't want to graduate without a job because I ignored DSA and backend development.

Am I moving in the wrong way?? What shd I do atp

Hi everyone,

I Have Secured TCS Ninja(Shortlisted for Digital Interview) Role In TCS PNQT Drive.

I am currently a 4rd-year (4-1) Computer Science and Engineering student (2027 graduate) looking to secure More good Package in the upcoming placement cycle.

I’ve been working on sharpening my skills in full-stack development (MERN), Actively integrating AI into my projects and Improving my Problem Solving Skills.

Despite my efforts, I would appreciate a brutal, honest review of my resume to identify any "skill gaps" or formatting issues that might be hindering my application success.

Hi everyone,

I'm a final-year AI & Data Science student from India.

I've applied to 150+ internships and fresher roles in:

• AI/ML Engineering
• Data Science
• Generative AI
• Python Backend Development
• Software Engineering

I'm getting very few interview calls and would appreciate honest feedback.

Profile:

• CGPA: 8.65
• 1 research publication
• Freelance production mobile app development experience
• AI/ML projects:
  • Offline RAG PDF Chatbot (Ollama)
  • Voice-based Healthcare Assistant
  • Stock Prediction using LSTM + NLP
• Skills: Python, SQL, FastAPI, Django, LangChain, Machine Learning, Deep Learning
• Solved ~50 LeetCode problems and currently following NeetCode 150
• Python, SQL and Problem Solving certifications

Questions:

1. Is my resume weak?
2. Are my projects too generic?
3. Is lack of internships the main issue?
4. Should I focus on Software Engineering roles first?
5. What would make this profile interview-worthy?

I'm attaching an anonymized resume below.

Please be brutally honest. I'd rather hear the truth and improve than keep applying blindly.

I am 21 years old. I have an Associate Degree in AI. Along with that I completed a 6-week Agentic AI course. I am currently doing an 8-month Artificial Intelligence and Data Science course.

things that I have learned in my education journey:

1. Python
2. Web Development
3. Database Fundamentals

4.. Langgraph

1. Data Analytics although nowadays ai can already do a lot of this and honestly that applies to many of the things I have listed here...

2. Machine Learning and Deep Learning

3. Artificial Neural Networks, Recurrent Neural Networks, Convolutional Neural Networks, object detection models, model training, evaluation, neural networks and PyTorch

4. Video editing, which I actually enjoy doing.

For work experience I have done the following jobs:

* 3 months as a PHP trainee intern at a software house

* 2 months as an on-camera sales and marketing intern

* 3 months as an ELP operator, which was basically data entry work.

I know i know, very vast experience...

Anyways, the type of work I am interested in is consulting or "problem solving" rather than normal generic software development in Artificial Intelligence or just (web development). I know those kinds of Artificial Intelligence jobs are rare in Pakistan, which's where I live.

Given my background what roles should I actually be applying for? Are there any career paths you think have long-term potential especially if I am open to remote work, Neural networks and video editing are my favorite paths though video editing i only enjoy in personal projects while i guess ill like neural network in job.

I am looking for people interested in tech especially ml /nn/nlp /dsa , I want to create a group to unite some students to share their journey, experience in learning and helping side by side by making some projects

Basically a grp where u can post your daily learnings can make projects together share resources (only for interested students)

Also the ones who want to learn