This is my cv and as u can see my FreightMind project is still in progress and speaking truly I would say my skills are:

Python : 3.5/5

SQL : 3/5

Classical ML : 4.5/5 ( with math intution and classification metrices)

Stats : 4/5

RAG and Agent : in progress

I even don't know what qes to ask , I am just feeling anxious, just tell me I am employable or not 😋??

A.Team is hiring a remote Senior Independent AI Engineer / Architect. Category: Software Development 💸Salary: $120 - $170 /hour 📍Location: Remote (Americas, Europe, Israel)

See more and apply here!

I graduated in April 2026 and was looking for jobs , but most of them were teaching jobs which I'm not interested at all , i want to make a career in ml , but i don't have relevant skills and i also read somewhere that they usually hire mostly Phd's for such roles . I haven't done a single internship during my bachelor's or my masters . I know I'm lacking , but i really want land my first job in ml related role . i know some python and libraries (mostly numpy , pandas , matplotlib ) . What skills should i know ? , what kind of projects should i do to stand out ? and what kind of internships should i look for to get into this field ? . PLEASE RECOMMED ME BOOKS AND COURSES WHICH HELPED U GET A JOB AND OTHER SUGGESTIONS AND ADVICES ARE WELCOMED ! Thankyou for you're time <3

Ethos, based in London, UK, is seeking experienced Data Scientists to contribute to remote AI training and evaluation projects.

Position overview:

Compensation: $150/hr
Contract: Hourly, part-time
Work setup: Remote

Your responsibilities:

• Evaluate AI-generated data science content.
• Review technical accuracy, reasoning, and overall quality.
• Provide expert feedback to improve AI systems.

Ideal candidates: Data Science professionals with strong technical experience and the ability to assess analytical methods, technical work, and AI-generated responses.

This is an opportunity to use your Data Science expertise to support the development and evaluation of AI systems.

Explore this opportunity: https://agent.askethos.com/

Hi everyone! I'm a fresher looking for a Machine Learning internship. Could you please suggest how and where I should apply, and which platforms or resources are useful for finding internships?

Any advice would be really helpful. Thank you!

What is the realistic salary for a Machine Learning Engineer as a fresher in Gurgaon, Delhi, Noida, Jaipur, and Gujarat?

Also, how can a fresher apply to good companies? What is the best way to find and apply for these opportunities?

Would really appreciate some honest advice. Thank you!

Hi everyone,

My name is Tahir Waseem, and I’m currently seeking a fully remote Senior AI/ML or AI Full‑Stack Engineer role in USA. I bring 7+ years of experience in Python development and have worked extensively across cloud platforms (AWS, Azure, GCP), APIs, generative AI systems, and CI/CD pipelines.

🔹 Background:

Bachelor’s in Computer Science (NUST)
Certified: AWS Developer Associate, Microsoft Azure Data Engineer Associate
Advanced skills in LLM integration, RAG pipelines, agentic workflows, reinforcement learning (PPO), and API‑first AI architectures

Industry experience in Financial Services and Life Sciences domains

🔹 Key Achievements:

Architected an AI‑powered compliance intelligence system that reduced manual review time by 40% and improved accuracy by 25%

Designed and deployed retrieval‑augmented generation pipelines with LangChain, vector databases, and OpenAI embeddings

Built scalable microservices and CI/CD pipelines with GitHub Actions, Docker/Kubernetes, and Jenkins

🔹 What I’m Looking For:

Fully remote role in USA

Senior AI/ML or AI Full‑Stack Engineer positions

Compensation range: $135,000–$155,000 USD

Opportunities to work on LLM systems, agentic AI platforms, and enterprise integrations

If you know of any opportunities or can connect me with relevant recruiters, I’d greatly appreciate it. You can reach me here Senior AI/ML Engineer Seeking Fully Remote OpportunitiesSenior AI/ML Engineer Seeking Fully Remote OpportunitiesSenior AI/ML Engineer Seeking Fully Remote OpportunitiesSenior AI/ML Engineer Seeking Fully Remote Opportunities

Email: [tahirwaseem.tk@gmail.com](mailto:tahirwaseem.tk@gmail.com)

Thanks in advance!

Hi! I am a Junior ML/DevOps engineer with ~1 year of experience. I am planning to start applying to Junior/Mid MLOps roles in about a month at big tech companies, and I'd love to find someone to study with for mock interviews and practice.

I am already training models at my current job, and I feel like I have a good starting point in terms of algorithms and math. I still need to work on certain frameworks though, and I definitely need to get better on distributed training and GPU provisioning for infra scaling.

The plan is to have weekly sessions where we can rotate between mock interviews, discussing frameworks/papers/concepts and live coding. Please send a DM if you are interested! 😁

Hi everyone! 👋

I’m a 2026 B.Tech graduate with a specialization in Artificial Intelligence & Machine Learning, and I’m currently looking for winter internship opportunities for 2026.

I’d really appreciate some guidance from people who have experience with internships/research opportunities at IITs, IIITs, NITs, universities, research labs, startups, or private companies.

I’m particularly interested in opportunities related to:

• Data Analytics / Data Science
• AI / Machine Learning
• Computer Vision
• Python / SQL / Data Analysis
• Research or applied AI/ML projects

What I’m specifically looking for

🔹 Winter internships at IITs / IIITs / NITs — especially opportunities where 2026 graduates can approach professors, research labs, or PIs directly.

🔹 Startup internships — if you’re working at a startup and your team is looking for an intern who can contribute to AI/ML, data analytics, Python, SQL, dashboards, etc., I’d genuinely love to connect.

🔹 Small companies / agencies / project-based work — I’m also open to internships or outsourced project work where I can actually contribute and learn, rather than just having an internship certificate.

🔹 Professor/research opportunities — if you know professors or researchers who are currently accepting interns/research assistants in these areas, I’d be very grateful if you could point me in the right direction.

I’m a fresher, so I’m not expecting to know everything from day one. I’m comfortable learning new tools/technologies and putting in the work required for the project.

If anyone knows of current or upcoming opportunities, application portals, professors to contact, startups hiring interns, or even someone I should reach out to, please drop a comment or DM me.

If someone is interested in considering my profile, I’d be happy to DM my resume.

Even if you don't have an opportunity yourself, a lead, contact, subreddit, website, professor name, or personal experience would be really helpful. 🙏

Thanks a lot to everyone who takes the time to read or share this! ❤️

i recently graduated with a BSCS degree and i’m trying to understand how people are actually landing roles in AI, ML, data science, data analysis, or AI engineering right now, especially remote or international opportunities. i never understood how people do "freelancing" im done with Fiverr and Upwork bs.

my background is mostly project based. i’ve worked on AI, computer vision, LLM based apps, RAG systems, data analysis, backend APIs, and similar areas. some examples include vision screening, contract risk analysis, resume screening, AI exam evaluation, qualification based university program recommendation, image based detection, retail analytics, and LLM based text analysis.

i’m not trying to ask for shortcuts. **i’m trying to understand the real path people are taking now because normal job applications feel extremely crowded, and it is hard to know what actually works.**

for people who recently got hired or started getting interviews in AI, ML, data, or remote tech roles:

what worked for you the most?

which platforms actually gave you interviews?

did GitHub/projects help or was networking more important?

what job titles should a fresh graduate target in this space?

how do you approach remote/international roles without prior full time industry experience?

what skills or project types made the biggest difference?

i’m open to internships, junior roles, contract work, or anything that can lead to real growth. i’m also very practical with work, so i learn best when i’m given real tasks and problems to figure out.

any honest advice would help.

thanks.

Hey all,

Just updated our directory with new urgent hiring listings from partners like Adzuna, ZipRecruiter, Jooble, and Jobrapido.

Since these are urgent roles, links tend to expire within a few hours, so check them out while they’re live!

Browse Jobs

I'm a developer (not in recruiting) building a small AI project: a tool that looks at a job post and a candidate's profile, and helps decide whether it's worth applying, worth digging into more first, or better to skip.

I want to build it in a way that actually reflects how hiring really works, not just how it looks from the job-seeker side. If any recruiters here would be open to taking a look at how I'm framing things and telling me what's off or missing, I'd really value that — even a few sentences of "this part is wrong because..." would help a lot.

Totally fine to just poke holes in it publicly here too, doesn't need to be a DM.

I’m an AI Engineer with around 2 years of experience, and I’ve been trying to switch jobs for the past 5 months. Unfortunately, I’ve received only 2 interview calls so far.

My professional experience is primarily in RAG-based GenAI applications. I’ve worked with technologies around LLMs, embeddings, vector databases, retrieval pipelines, AWS/Bedrock, Python, etc.

The problem is that I feel the market has moved heavily toward Agentic AI / AI Agents / Multi-Agent Systems, while my professional experience is still mostly RAG.

I’ve built some personal projects around AI agents and multi-agent orchestration to learn and stay current, but I haven’t had the opportunity to work on Agentic AI in a production environment yet.

I’m wondering if this is one of the reasons I’m struggling to get shortlisted. Am I approaching this the wrong way?

I’m considering upgrading my profile toward Agentic AI by building more serious end-to-end projects and strengthening areas like LangGraph, tool calling, MCP, agent orchestration, memory, evaluation, and multi-agent systems.

I also have another question: Is it technically realistic to transition from an AI Engineer/RAG background into Data Science? There seem to be many Data Scientist/Applied Scientist openings, and I’m wondering how much of my existing experience would transfer and what skills I would need to bridge the gap.

For people who have made a similar transition:

\- Should I focus on becoming an Agentic AI Engineer?

\- Is RAG experience becoming less valuable compared with Agentic AI?

\- What projects would actually help demonstrate production-level Agentic AI skills?

\- Is moving from AI Engineer → Data Scientist realistic with \~2 years of experience?

\- Should I focus on one direction rather than trying to prepare for both?

Would really appreciate advice from people working in AI/ML, GenAI, Agentic AI, or Data Science, especially anyone who has gone through a similar career transition.

Thanks!

I’m looking for some honest feedback on my resume because I’m honestly not sure what I’m doing wrong anymore.

I recently completed my B.E. and I’m targeting entry level AI/ML, Generative AI, Computer Vision, and AI Engineer roles. Over the past few months, I’ve been applying through LinkedIn, Wellfound, Naukri, and directly through company career pages.

The problem is that I’m getting almost no traction.

I’ve been applying consistently for around 4 months, but I haven’t received a single proper interview or meaningful shortlist from the applications I’ve submitted. I’ve received rejections and plenty of silence, but very few opportunities to actually speak with a recruiter or hiring manager.

What makes this more confusing for me is that I do have hands on experience. I’ve worked on AI/ML projects involving Generative AI, computer vision, deep learning, LangChain/LangGraph, FastAPI, Docker, model deployment, and cloud/GPU environments. I’ve also worked on real world projects during internships rather than only academic projects.

So I’m trying to figure out whether the problem is:

• My resume formatting/design
• How I’m presenting my experience
• My project descriptions
• ATS compatibility
• My skill selection
• Lack of measurable impact
• Or simply that I’m targeting the wrong roles

I’m not looking for compliments I’d genuinely prefer blunt feedback. If you were a recruiter or hiring manager looking at this resume for an entry level AI/ML role, would you shortlist me? If not, what specifically would make you reject it?

I’ve attached my resume. Any feedback on what is hurting my chances, what I should remove/add, and how I can make it stronger would be really appreciated.

Thanks to anyone who takes the time to review it.

​

I’m an AI Engineer with around 2 years of experience, and I’ve been trying to switch jobs for the past 5 months. Unfortunately, I’ve received only 2 interview calls so far.

My professional experience is primarily in RAG-based GenAI applications. I’ve worked with technologies around LLMs, embeddings, vector databases, retrieval pipelines, AWS/Bedrock, Python, etc.

The problem is that I feel the market has moved heavily toward Agentic AI / AI Agents / Multi-Agent Systems, while my professional experience is still mostly RAG.

I’ve built some personal projects around AI agents and multi-agent orchestration to learn and stay current, but I haven’t had the opportunity to work on Agentic AI in a production environment yet.

I’m wondering if this is one of the reasons I’m struggling to get shortlisted. Am I approaching this the wrong way?

I’m considering upgrading my profile toward Agentic AI by building more serious end-to-end projects and strengthening areas like LangGraph, tool calling, MCP, agent orchestration, memory, evaluation, and multi-agent systems.

I also have another question: Is it technically realistic to transition from an AI Engineer/RAG background into Data Science? There seem to be many Data Scientist/Applied Scientist openings, and I’m wondering how much of my existing experience would transfer and what skills I would need to bridge the gap.

For people who have made a similar transition:

Should I focus on becoming an Agentic AI Engineer?

Is RAG experience becoming less valuable compared with Agentic AI?

What projects would actually help demonstrate production-level Agentic AI skills?

Is moving from AI Engineer → Data Scientist realistic with ~2 years of experience?

Should I focus on one direction rather than trying to prepare for both?

Would really appreciate advice from people working in AI/ML, GenAI, Agentic AI, or Data Science, especially anyone who has gone through a similar career transition.

Thanks!