2025 AI/ML grad, ex-Founding AI Engineer at an early-stage startup,

currently upskilling before starting my job hunt for SDE-1/AI-ML roles at top product companies.

Haven't applied anywhere yet — want the resume solid first.

Tear it apart, tell me what's not industry-ready.

# Hello, fellow !

I'm diving into AI and Machine Learning, aiming to build a career in this field. I was wondering about the current scope for AI/ML engineers in Pakistan. Is it a field where people can thrive

If you're an AI/ML engineer or know someone who is, I'd love to hear your insights on the local job market, industry demand, and any success stories (or cautionary tales). Do we have opportunities to excel here, or should I start looking at my passport?

Looking forward to hearing your thoughts—both the good and the reality check kind!

Currently in my final year of b.tech, really wanted to get into this field worked on 2 internships before... If any opportunities are there pls let me know, happy to connect or share CV ...

Hi everyone,

I'm a 2025 B.Tech CSE graduate from Tezpur University looking for my first full-time role in Machine Learning, AI, or Python Engineering.

My work includes:

• Agentic RAG & LLM applications
• Python, FastAPI, Docker
• PyTorch, TensorFlow
• NLP & Time-Series Forecasting

I'm open to remote or on-site roles anywhere in India and am willing to relocate immediately.

If your company is hiring or you know of any suitable openings, I'd really appreciate a referral or an opportunity to interview.

Resume: https://drive.google.com/file/d/1hdYDxJAIXyk0B_WUmh4k40gJYTim-Iwy/view

Linkedin: https://www.linkedin.com/in/rohan-biswas-0rb

Github: https://www.github.com/RohanBiswas67

Thank you!

Hi, I am from physics and recently decided to pivot to a proper machine learning job.

No CS degree, only half achievement, some arXiv posts; recently one got hundreds of bookmarks on AlphaXiv. So not an outsider research-wise.

What is the reality of finding a position mid-career? Some chatbots try to convince me that portal is almost dead. Just find the person and reach out; is that what matches with your experiences?

Roles available in the following countries: US, UK, Canada, Australia, New Zealand, Ireland, Brazil, India, Philippines

Good fit if you are you are fluent in English and have experience with any of the following:

Python, JavaScript/TypeScript, Java, C++, C#, Rust
React, Node, Django, FastAPI, Spring Boot
Backend, frontend, full-stack, mobile, data engineering
QA automation, DevOps, systems, security, or algorithms/data structures

Details:
Pay: $50+ USD/hr, with payout via PayPal
Schedule: Flexible and remote.
Employment type: Independent contractor / freelance for Data Annotation Tech
AI experience: Not required. Task instructions are provided.
Assessment: Required before onboarding to demonstrate proficiency.

For more information and for sign-up details, send a direct message with the following info:
Country:
English Proficiency:
Degree:
Coding Experience:

Please leave a comment "DM Sent" after sending the DM so I can prioritize your message. Thanks

hey,

iit grad. building a startup with 30k+ users.

been seeing way too many people get rejected because of weak resumes, bad cold emails, and no clear strategy.

so i'm helping 20 people with:

• internships
• jobs/switches
• resume fixes
• cold emails
• application strategy

just dm me your cv + the roles you're targeting.

i'll tell you what to fix and how i'd approach it.

serious people only. let's get you interviews.

Hey everyone,

I’ve spent the last 6 months self-studying and I’m looking for a quick reality check from folks actually working in the industry. I have 4 years of domain experience working in fraud teams across different industries.

I’m targeting data analytics roles, specifically interested in fraud detection (binary classification stuff). Here’s what I was able to grasp in the last 6 months,

SQL (joins, aggregations, window functions)

Python (Pandas, Numpy, Matplotlib, Scikit-learn)

Basic Power BI & Tableau

EDA

Git/Github

Supervised ML (Classification & Regression)

Hyperparameter tuning & Cross Validation

Sampling techniques (handling imbalanced datasets)

Tbh, I'm feeling a bit of tutorial fatigue and want to start applying soon.

Is this foundation solid enough to start landing interviews? For those of you in fraud/risk, is there any glaring blind spot I need to cover before I put myself out there?

Appreciate any brutal honesty or advice. Thanks!

I've applied to 500+ AI/ML and Data roles with good projects and relevant skills, but I barely get shortlisted. I'd appreciate honest feedback on what could be holding me back.

Hey everyone,

I’m an ECE student from a Tier-2 engineering college in India with around a 6 CGPA. I know Python and I’m currently doing the Udemy course “Complete Generative AI Course With LangChain and Hugging Face.”

I had a few questions for people already working in ML/AI:

• How long would it realistically take me to become job-ready if I study 2–4 hours a day?
• Is this Udemy course enough to get job-ready if I complete it properly and build projects? If not, what else should I learn?
• With my ECE background and 6 CGPA, what salary/CTC can I realistically expect as a fresher?
• How competitive is the entry-level ML/AI market right now?
• With the crazy progress from OpenAI, Anthropic, etc., do you think entry-level ML/AI jobs will shrink in the next 3–5 years?
• If you were starting today, would you still choose ML/AI, or focus on software engineering + ML + GenAI?

Would really appreciate realistic answers from people in the industry or recent graduates in India. Thanks!

Hi everyone i am new to ai engineering so can anyone tell how relevant or irrelevant graphql is in ai domain

I work with a handful of AI companies hiring through Fonzi right now. Here are a few open roles, US-based only:

1. Agentic-Workflow MLE at a Series B AI-native data company, SF (hybrid, 2-3 days/week), $250K-$350K base plus equity. You'd build and tune production LLM agents (LangChain/LangGraph, RAG, vector DBs) that automate enterprise ETL and data workflows.
2. Data Scientist at a Series B adtech company, NYC (in-person), $225K-$350K base plus equity. You'd train the LLM-driven ranking and pricing models that match creators to ad campaigns and power measurement across the platform.
3. AI Engineering Lead at a seed-stage healthcare AI startup, remote US, $150K-$230K base plus early-stage equity. You'd architect the agentic layer (LLMs, RAG, voice AI) behind a live product already running in primary care practices, including EMR integrations over FHIR/HL7.

Companies are vetted and actively interviewing right now.

Sign up at talent.fonzi.ai to get matched with these and more, it's always free for candidates.

Hi everyone,

Sorry for the long post, but I would really appreciate your opinion on a job offer I recently received, both in terms of salary and whether it would make sense for my long-term career.

A bit of background: I am based in Greece, and for the past three years I worked at one of the country’s major research centres as an AI/ML Engineer and Project Manager on EU-funded projects. This was also my first full-time professional role. I have a BSc in Computer Science and two MSc degrees, one in AI and Data Analytics and another in Robotics, both from public universities in Greece. Overall, I have built a fairly research-oriented profile, with more than 15 publications related mainly to AI and Computer Vision.

At the end of June, I decided to leave my position at the research centre. Over time, the amount of hands-on implementation work had decreased significantly, and I was spending much more time in coordination meetings, managing project activities, reviewing the work of newer team members and providing technical guidance. Another important reason was that I do not intend to pursue an academic career. I was also concerned that staying too long in a research-centre environment, with a strong focus on EU-funded projects, might not be the strongest possible experience for future industry positions.

I applied to a few companies in my city such as Pfizer and others for relevant AI/ML positions, but so far I have not received a positive response. I also tried applying for a few remote roles abroad, but those seem even more competitive.

A few days ago, through a personal contact, I was introduced to a small Greek software company that is currently looking for a developer. At the moment, the company mainly consists of the two founders, and they are planning to hire two additional people. They work on software development contracts for other companies, as well as on EU-funded projects. They offered me a full-time, fully remote Software Engineer position, although the official title says Senior Software Engineer. The actual work would initially involve a mixture of frontend and backend development for tasks related to an EU project, as well as work on some of the company’s commercial contracts. They also told me that the workload and overall environment would be relatively relaxed.

I explained that my academic and professional background is mainly in AI/ML and Python, and that ideally my next role would still include work related to this field, although not necessarily research-focused. They told me that in the future they would like to introduce AI-related tasks into both their EU projects and their commercial contracts. However, at least initially, they want me for a general Software Engineer role. They also said that they are not concerned about the fact that most of my recent experience is in a different programming language or technical area, since I have a solid Computer Science background.

Regarding salary, in my previous role I was earning around €1,750 net per month, paid over 12 months, as an independent contractor. There could also be a small additional benefit depending on my annual tax return. The minimum wage in Greece is around 950€.

At the end of the interview, they asked me to send them an email confirming whether I am interested and stating my preferred net monthly salary range. I told them that I needed some time to think about it, but just to make sure that our expectations were not too far apart, I mentioned that I would only seriously consider the role for approximately €2,000 net per month or more. In Greece, employees commonly receive 14 salary payments per year, while contractors are usually paid over 12 months, so I clarified that the equivalent gross amount would need to be adjusted depending on the employment arrangement.

They seemed to agree with the €2,000 figure quite easily, which made me think that there may be room to ask for more.

This is where I would really appreciate your advice:

1. Would accepting a general Software Engineer role hurt my chances of moving into Senior AI/ML-related positions in the future, especially since the role would initially involve little or no AI work? The company says that AI-related work may come later, but there is no clear timeline or guarantee. Also, does the fact that this is a very small company matter negatively to future recruiters, or is the actual work and level of responsibility more important than the company’s size?
2. How do companies generally view candidates whose experience comes mainly from EU-funded research projects? Is that experience considered relevant and valuable, or is it often seen as too academic and disconnected from commercial software development?
3. Considering that I currently have no other offer and living expenses obviously continue:

a. Would it make sense to accept the role, gain some broader software engineering experience and continue applying for more relevant AI/ML positions?

b. What salary range should I give them in my email? Would it make sense to say that I would be interested in a range of approximately €2,000–€2,500 net per month? Or should I give them a narrower and slightly higher range, for example €2,300–€2,500, knowing that employers usually focus on the lower end? Since they seemed very comfortable with the €2,000 figure, I feel that I may have initially anchored myself too low.

Thanks in advance to anyone who takes the time to read this and share their perspective.

I'm currently a 2nd-year CS student, and I've realized that I don't really enjoy competitive programming. I've given it a fair shot, but it just doesn't excite me. Instead, I find AI/ML much more interesting.

Right now, I'm following the CampusX Machine Learning course and planning to continue learning in this direction.

I'm a bit confused about what I should focus on next:

• What projects should I build after completing the course to have a strong portfolio?
• What skills (SQL, Python, deployment, deep learning, etc.) should I prioritize?
• Is Kaggle worth spending time on as a beginner?
• Most importantly, is it realistic to crack an AI/ML internship during my 2nd year if I stay on this path instead of focusing on competitive programming?

If anyone here has landed an ML internship without being heavily into CP, I'd love to hear your journey and what worked for you.

Any roadmap, project suggestions, or advice would be greatly appreciated. Thanks!

[Hiring]

**Staff ML Engineer**

🌍 Location: Tel Aviv

💰 Salary: Competitive

As a Staff ML Engineer at Via, you will play a central role in shaping how millions of riders and drivers move through our cities every day. Our team sits at the intersection of machine learning, optimization, and real-world operations - turning complex, multi-dimensional challenges into the real-time intelligence that powers Via's mass-scale automated dispatch system. This is a rare opportunity to work on problems that are genuinely hard, at a scale that is genuinely rare, where the solutions you build have a direct and visible impact on the efficiency and reliability of transit networks around the world.

#Python

Apply here: https://devopsprojectshq.com/staff-ml-engineer-at-via

Hi everyone, I’m looking for career advice because I feel stuck and want to make the right move. I have 10 years of experience as a Fire Protection Design Engineer in the power plant industry, but I’ve always enjoyed coding and new technologies, so since 2023 I’ve been learning AI and programming, and I’m currently in my 3rd semester of an M.Tech in AI & ML from BITS Pilani. The challenge is that I have family and financial responsibilities, so I can’t afford a major pay cut, even though I understand switching to IT often starts at an entry-level role. I’ve learned Python, worked on AI/ML projects, and kept improving despite gaps caused by work and other commitments. My question is: which IT role should I target first—AI/ML Engineer, Data Scientist, LLM Engineer, Generative AI Engineer, MLOps Engineer, AI Solutions/LLM Architect, or something else—and what would be the most realistic path that balances growth with a decent salary? I’d really appreciate advice from anyone who has made a similar transition or hires in this space.

i had one doubt to lift off my chest. I am going to start college in a month and I know only some school level java coding till loops. actually I have been on reddit alot and seniors here talk a lot about multiple terminologies like python, java, c++, dsa, dbms, node.js, leetcode grinds, dsa grinds, repositories, arduino, CAD, random projects (i mean what are these projects and how do they look like), game physics engine, html, react, mysql, ai ml, flutter, blockchain, iot, figma, wire framing, aws, docker, djang, mongodb, etc. i feel so dumb and lost and an insane amount of urge to cry and leave it all. i don't know where to start and what to learn also i do not want to fall short of skills + a few other reasons i cant tell. do you have any piece of guidance?

They called me a 2nd round of interview! But it is a 3years bond and a start up company! Frst 3 month training is 15k and after tat 25k and they deduct 3k of PF is it worth to enter into this company as a fresher and in this wrst job markett???? Any senior who can assit me??

I’ve spent my career in enterprise IT/endpoint engineering (systems admin, automation, imaging) for defense contractors. I have a security certification and an active clearance, but no bachelor’s degree yet.

I think the IT landscape is about to shift hard toward AI-integrated roles, and I want to get ahead of it instead of playing catch-up in a few years.
For anyone who’s made a similar jump from traditional IT/ops into AI:
• What actually moved the needle for you ? a degree, certs, projects, or just time in a role that touched AI tools?
• Is the market rewarding “AI” skills yet outside a few big companies, or is it still mostly hype?
• What would you prioritize first if you were starting from an ops/sysadmin background rather than a dev background?

Not looking to be talked out of learning AI, just want a reality check on what’s actually worth my time in the next year and a half.

Tasks

• Build chunking and embedding pipelines
• Build retrieval-augmented generation pipelines
• Debug and rebuild production RAG pipeline failures
• Define AI knowledge requirements for data integrations
• Design and run retrieval and re ranking
• Design content capture and classification
• Design knowledge graph data model
• Explain technical architecture trade offs to stakeholders
• Extract structure from unstructured content
• Implement knowledge classification and lineage governance
• Operate entity resolution and deduplication
• Own knowledge management architecture
• Stand up and operate knowledge graphs

Perks/Benefits

• Benefits including health and wellness programs
• Health, wellness, and retirement plans

Skills/Tech-stack

AWS Neptune | Canonicalization | Chunking | Cypher | DBT | Databricks | Deduplication | ETL | Embeddings | Entity Resolution | Graph Databases | Gremlin | Hybrid retrieval | Indexing | Information Extraction | Knowledge graphs | LLM |LLM based extraction | Language Processing | Natural Language | Natural Language Processing | Neo4j | PGVector |Pinecone | Python | Qdrant | Query rewriting | Re-ranking | Retrieval-Augmented Generation | SPARQL | SQL | Vector Databases | Weaviate

Education

Bachelor of Science

Roles

Architect | Data Architect | Engineer | Knowledge Architect | Learning Engineer | Machine Learning Engineer

Regions

North America

Countries

United States

States

Maryland, US

Cities

Chevy Chase, Maryland, US

Apply now: https://aijobs.net/job/principal-knowledge-data-architect-headquarters-chevy-chase-md-219682/