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Tasks

• Answer advanced statistics queries
• Collaborate with annotation leads and project managers
• Create golden responses for benchmarks
• Develop statistical explanations and justifications
• Document answer context and rationale
• Evaluate statistics data and solutions
• Participate in remote discussions and workshops

Perks/Benefits

• Remote work

Skills/Tech-stack

Advanced data analysis | Bayesian Methods | Biostatistics | Computational statistics | Data Analysis | Experimental Design| MySQL | Probability theory | Statistical inference | Statistics

Education

PhD

Roles

Statistics Expert

Apply now: https://aijobs.net/job/statistics-expert-phd-remote-238344/

Tasks

• Answer advanced computer science queries
• Collaborate with annotation leads and project managers
• Create golden responses for training
• Develop comprehensive explanations
• Document answer rationale and context
• Evaluate computer science data and solutions
• Participate in remote discussions and workshops

Perks/Benefits

• Remote work

Skills/Tech-stack

Computer Science | Data Science | Python

Education

PhD

Roles

Computer Science | Computer Science Expert

Apply now: https://aijobs.net/job/computer-science-expert-phd-remote-238345/

I am a data science graduate and I desperately need a job as I have to pay back my loans. It's creating unnecessary pressure on my family. If you guys can refer me or help to land any data science or ai/ml jobs please help me out.

hey i am like high school pass out thinking of data science in bachelor programme is it good or bad .Or should i go for engineering (but in engineering expect maths i hate everything i saw) so

need adivce on it how i can make discussion .???

Aerospace engineering fresher looking to switch to IT and looking for internship opportunities

Am 22 and recently completed my Aerospace engineering degree and i am having an interest in IT/tech i am even trying to learn python these days ! And as an aerospace engineer i am good at mathematical stuff, i would love to get some tips and guidance from you all ! I am quite confused as there are many things i can go for like data analysis or ai/ml and if anyone has any experience please share and what would be better for me.

Also i am looking for an internship opportunity where i will get to learn and gain experience thank you

Will you give me some. Best road map for Aiml and suggestion

I'm planning to switch into an AI Engineer role and I want to build projects that actually matter in interviews.

Can you suggest AI/ML/LLM projects that:

Solve real-world problems

Stand out on a resume

Help in getting AI Engineer jobs

Cover skills like RAG, AI Agents, LLMs, Computer Vision, NLP, or MLOps

If you were hiring an AI Engineer, what projects would impress you the most?

I'd really appreciate your recommendations. 🚀 #AI #MachineLearning #LLM #GenAI #AIEngineer #OpenToLearn

Hi Reddit,

Most of what people call "data science" is now doable with an LLM and a weekend. I focus on what isn't: the messy, ambiguous, regulation-heavy gnarly problems where nobody's even sure what the right question is.

What I've done:

Saved a German automaker from lemon law recalls. ($20M+ exposure avoided)
Real-time emissions detection for industrial smokestacks. ($75K fines per incident prevented)
Revenue optimization and persona identification for debt collections (15-20% net revenue lift)
LLM-based legal document extraction, reducing due diligence turnaround from 3 days to 30 minutes
Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings

Things I'm unwilling to work on:

Gambling.
Ads/Surveillance.
Payday loans/rent-to-own.

DM me with a one-paragraph description of your problem. If it's weird and hard enough, I'll reply within 24 hours.

I'm a 2025 grad, had a site job, got out in Nov'25 of there prepared for GATE DA in Feb'26

All this time I was engaged in counseling process got calls from IITB/IITD/IISc but none were satisfactory for me

I've applied for Data Science/ML and even AI Engineer Roles through LinkedIn, Glassdoor, Naukri, Indeed didn't get any callback

Ik the RAG project I've put here is not particularly impressive but something is better than nothing ig

I'm a little confused too, every JD asks for GenAI/LLM/NLP skills while guys in industry tell me that my current skills are already good enough and those JDs are only exaggeration

Most of the DS roles I see are for experienced professionals, I have this feeling that I'm not searching for the right thing

or better say I'm unable to point out startups or companies which would hire a fresher like me in a DS Role, how can I do that?

Your thoughts?

I am currently working as machine learning engineer from jan 2025. So i have more than 1 and half year experience and planning to resign in search of better job offer as it is difficult to get even interview calls with 90 days notice period(WITCH). I have decent skills in AI enginneeing,Rag, working with llms and development. The main drawback of my current job is that I am spending more than 5 hours for commuting courtesy bangalore traffic. I am seriously confused and thinking to resign without any job offers in hope of finding one in the future. Financial security is not a problem because current job is paying only around 20 k and i can manage without it. Sincerely requesting for guidance and any job referrals if i could get.

Hi everyone! 👋

I'm Shivani from India and currently studying Computer Science. I'm interested in AI, Python, Web Development, and Cloud Computing. I'm here to learn new skills, explore internships and job opportunities, and connect with people in the AI community. Looking forward to learning from everyone. Thank you!

Roulette is one of the fastest ways to see whether a casino lobby is genuinely easy to use.

Once you start comparing tables, limits, live variants and mobile navigation, the strengths of each platform become much easier to separate.

I looked at Maximal, Extreme Spins and Fire Jackpots as the best roulette casino sites in the UK, focusing on their strongest qualities rather than forcing all three into the same playing style.

Maximal delivered the most complete roulette experience. Table games were easy to locate, the wider lobby was well structured and moving between roulette, promotions, account tools and the cashier remained smooth.

Extreme Spins stood out for faster table discovery. Its energetic layout and mobile-friendly navigation suited players who want to move quickly between roulette, other casino games and promotional areas.

Fire Jackpots offered the most direct browsing style. Featured content and key casino categories were easy to identify, creating a simple route from the main lobby towards table games and account features.

The main strengths broke down like this:

For the strongest complete roulette setup: Maximal

For quick table discovery and mobile play: Extreme Spins

For straightforward casino navigation: Fire Jackpots

I compared:

• Live and digital roulette access
• European and alternative variants
• Table-limit visibility
• Lobby organisation
• Mobile loading
• Game switching
• Promotion access
• Account and cashier navigation

Each platform brought something useful to the comparison.

Maximal combined table access with the strongest overall casino flow, Extreme Spins delivered speed and mobile convenience, and Fire Jackpots kept the wider journey easy to follow.

Before joining a roulette table, I would still check the game rules, displayed limits, mobile performance and whether any promotion applies to table play.

For UK roulette players, which matters most: a complete table lobby, fast mobile access or simpler browsing?

Im a Btech CSE student and i have recently started my 3rd year. So now im looking for internships to gain for experience and apply what i have learned into something useful.

I'm particularly interested in machine Learning, deep Learning, AI, data Science, and generative AI. i have build skills and learned many things and built projects in the same domain. Recently i have studied and worked on langchain and fastAPI. Some of the things i have worked and am still working on include: machine Learning and Deep Learning projects, RAG applications, LLM based application, Basic AI agents using LangChain, FastAPI backends for AI applications.

Is the job in corporate business and research for machine learning is very different and is it easy to switch between them?

Let me know if anythimg is missing.

My primary interest lies in aiml research and systems scaling. So i came across this role where it isn’t either side of both like aiml research -> research scientist and systems and scaling -> Ai engineer.

So some of my questions were
1)PhD for sure required?
2)Any publications or paper reproduction is fine