Hey everyone! I'm a 2026 graduate currently doing a remote internship and actively looking for opportunities in the AI/ML domain.

I'd really appreciate some brutally honest feedback on my resume, what works, what doesn't, and what I should improve to make it stronger for AI/ML roles.

Also, if you know of any internships or full-time opportunities that might be a good fit, I'd love to connect. Thanks!

Came across an interesting opportunity for anyone who has successfully landed a job before.

Mercor is looking for real, successful job application documents to understand what actually works in hiring.

Role Details:

Type: Part-Time
Location: Remote
Pay: $80-$100 per submission (one-time)

What You Need to Submit:

• Resume (PDF, Word, or Google Doc)
• Cover Letter used in a successful application
• Full Job Description (complete posting, not just title)
• Application Form (PDF if available)
• Any written responses:
  1. “Why do you want to work here?”
  2. Supplemental/custom application questions (submit separately)

Important:

• Remove all personal or sensitive information before submitting
• Content must be original (non-AI generated) and timestamped
• Documents will only be used for evaluation
• If not selected, all files will be deleted
• If selected, a team member will contact you

SUBMIT HERE - https://work.mercor.com/explore?listingId=list_AAABnbSj7YgPm4YKXZtIopLt

If you’ve landed a job before and still have your application files, this is a straightforward way to get paid for it.

Job searching was eating hours a day, mostly on copy-pasting the same info

  into slightly different forms. Recruiters used to find me on LinkedIn, but

  that dried up — so I bit the bullet and built an agent that:

  - finds open roles across job boards

  - rewrites my resume for each job and generates a fresh PDF

  - fills out the actual application (Ashby, Greenhouse — dropdowns, comboboxes,

  the "why do you want to work here" boxes)

  - **stops before submitting** so I review every application — it's an

  assistant, not a spam cannon

  Result: interviews at Cohere, Scale AI, and others I'm confident would never

  have called me back otherwise.

  Built with Python + Playwright + an LLM doing the form-field mapping. The

  hardest part by far was handling how differently every ATS renders its forms.

  Code: https://github.com/torontodeveloper/job-application-agent

  Full demo of it applying to real jobs:

  https://www.youtube.com/watch?v=SM7EIgbBiiY

  AMA about the build — curious whether people here would trust it to submit

  autonomously (I don't, yet).

Weekly analysis of AI & Data Science job postings from Indian job boards.

Sample size: 12,614 listings (till May 16, 2026).

---

**Top Skills — Full Breakdown:**

| Skill | Mentions |

|--------------------|----------|

| Python | ~2,600 |

| SQL | ~2,400 |

| Machine Learning | ~1,500 |

| Artificial Intelligence | ~1,050 |

| Azure | ~1,000 |

| Java | ~1,000 |

| AWS | ~800 |

| GCP | ~600 |

| Spark | ~600 |

| Data Analysis | ~550 |

---

**Key observations:**

**SQL is basically tied with Python now**

Gap is only 200 jobs. Everyone learns Python first but companies

still need SQL everywhere — pipelines, reporting, analytics layers.

If you skipped SQL thinking it's "old", reconsider.

**Azure quietly entered top 5**

~1,000 mentions. AWS was the default for years but Azure

is catching up fast in Indian enterprise hiring, especially in

BFSI and consulting. Both Azure + AWS together = ~1,800 jobs.

**Consulting firms are the real AI employers**

Top 10 companies hiring AI talent:

| Rank | Company | Jobs |

|------|------------|-------|

| 1 | TCS | ~360 |

| 2 | Accenture | ~340 |

| 3 | Leading Client | ~310 |

| 4 | Infosys | ~150 |

| 5 | EY | ~145 |

| 6 | Capgemini | ~130 |

| 7 | Amazon | ~110 |

| 8 | Databricks | ~105 |

| 9 | CGI | ~105 |

| 10 | IBM | ~100 |

EY and Capgemini in the top 6 is interesting —

Big 4 consulting is aggressively building AI/data practices.

Databricks at #8 means data engineering is very real demand.

"Leading Client" still at #3 = staffing firms hiding actual employers.

**City breakdown (expanded):**

| City | Jobs |

|------------|--------|

| Bengaluru | ~3,000 |

| Hyderabad | ~1,950 |

| Pune | ~1,200 |

| Chennai | ~850 |

| Mumbai | ~850 |

| Gurugram | ~550 |

| Remote | ~500 |

| Noida | ~480 |

Chennai entered the top 4 this time —

mostly TCS/Infosys/Accenture campuses expanding AI teams there.

---

**Takeaway from this week:**

The "learn GenAI or die" crowd is louder than the actual job market.

Real JDs: Python → SQL → cloud (Azure/AWS) → ML fundamentals.

That stack gets you through 80% of listings.

Tracking this weekly at getjobpulse.in if anyone wants the dashboard.

Anyone seeing Azure demand spike in their interviews too?

Got selected for Amazon ML Summer School 2026.

I just wanted to post this for every student who thinks being from a Tier-3 college automatically puts them at a disadvantage.

Your college may influence the opportunities you get initially, but it does not define your potential. Consistent learning, building real projects, understanding concepts deeply, and staying curious matter far more in the long run.

An entrance exam is just one milestone in life. It doesn't permanently define your credibility, your knowledge, or what you're capable of achieving as an engineer or researcher.

To everyone from Tier-3 colleges: don't underestimate yourself or stop aiming high. Compete with your work, not with your college name.

Keep learning, keep building, and let your projects speak for themselves.

Sr. Backend Engineer | Remote | USA Only | dv01 | $140,000 - $160,000 - dv01 is the world's first data management, reporting, and analytics platform built specifically for lending markets. 

NICE TO HAVE:

• Familiarity with financial concepts, specifically structured products
• Familiarity with Google Cloud Platform, Google BigQuery, and Kubernetes
• Familiarity with data analytics tools like Spark, R, or Pandas
• Familiarity with React, Redux, Node.js

Link expires quickly. Apply ASAP

https://www.cyopspath.com/job-detail/sr-backend-engineer-dv01-51-e-12th-st-2nd-1885340

I’m about to start my MSc in AI & Data Science and would love some honest feedback from people already working in Data Science, Machine Learning, AI, or related fields.
I’ve attached my resume and would appreciate any suggestions on how I can make the most of the next two years.
A few things I’m curious about:
What skills should I prioritize to become job-ready for DS/ML roles?
What do recruiters and hiring managers actually look for in fresh graduates?
Which projects have the highest impact on a resume?
How important are internships, research, open-source contributions, and networking?
What are the most common mistakes students make during their Master’s?
If you were hiring a fresher for a Data Science or ML role, what would you want to see on their resume?
Current focus: Python, SQL, Statistics, Machine Learning, Data Analytics, and building practical projects.
Any feedback on my resume, roadmap, or career strategy would be greatly appreciated. Thanks!

micro1 is hiring Game Developers (Engine Specialists) to build simulation environments for AI systems.

Requirements:

• Experience with Godot and/or Panda3D (must)
• Strong Python and GDScript skills
• Good understanding of game physics and real-time systems

What you’ll do:

• Build and optimize game environments and simulations
• Develop game logic and physics systems
• Work with AI teams to create training environments

Details:

• Type - Contract
• Location - Remote
• Pay - $80-120 per hour
• Openings - Multiple (urgent hiring)

APPLY HERE - https://jobs.micro1.ai/post/game-developers-engine-specialists

Sign up and complete the AI interview to be considered. Shortlisted candidates will be contacted within a few days.

If you're a game engine expert who wants to push into AI and simulation, this role is built for you.

Important: micro1 is looking to fill this role urgently.

(Disclosure: Shared as part of the micro1 referral program)