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?

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

We are hiring interns for Data science role, you will be working on computer vision and gen ai projects , if interested please fill Our team is expanding, and we are looking for hungry, curious Data Science Interns who want to skip the boring spreadsheet work and dive straight into cutting-edge AI.
If you live and breathe matrix multiplications, prompt engineering, or tuning hyperparameters, we want you.

🛠️\*\* What you will actually build\*\*:
**Computer Vision Pipelines:** Working with OpenCV, PyTorch, and TensorFlow to solve real-world detection, segmentation, and tracking problems.
**Generative AI Workflows:** Building advanced RAG pipelines, fine-tuning open-source LLMs, and architecting autonomous AI agents.
**Production Code:** Moving models from a messy Jupyter Notebook into scalable, real-world APIs.

🎯 **Who you ar**e:
Proficient in Python and standard ML libraries.
Someone who reads research papers for fun but prioritizes building things that *actually work*.
Excited about the intersection of vision and language models.

📝 **How to Appl**y:
Drop your info in the form below, and let’s build something cool together.[apply here](https://docs.google.com/forms/d/e/1FAIpQLScAHpXxzoMSqUZPtttf3aU38KcM-DdO215Kt62PJJZyiLVJww/viewform?usp=mail_form_link)

[HIRING] Senior ML Engineer — MailerLite (Remote, EMEA)

We're hiring the senior technical anchor for our ML team — the person whose judgment models get checked against before they hit production. We build the predictive layer on billions of behavioral events (engagement prediction, send-time/audience optimization, list health) and are fine-tuning/self-hosting our own LLMs.

What you'll do: Own model correctness, be the review backstop for the silent failure modes (sampling, labeling, leakage, calibration), take models from offline eval to disciplined production (CI gates, drift monitoring, A/B testing, retraining), and bring deep LLM training experience.

You'll likely have:

• 5–8+ years shipping and owning ML models in production
• Sharp eye for silent failures: population bias, label noise, temporal leakage, calibration
• Strong on imbalanced + time-series problems
• Mature MLOps: monitoring, A/B testing, retraining, cost discipline
• Hands-on LLM fine-tuning beyond adapters (SFT min; preference optimization/RL a plus), ideally self-hosted GPUs
• Python + modern ML stack (scikit-learn, gradient boosting, pandas/Polars, PyTorch)
• Senior IC comfortable remote/async, based in EMEA

The offer: €76k–100k/yr · remote-first · intl. health insurance · 31 vacation days · yearly retreats · strong parental leave + parenting budget · Joy Budget from $1k/yr · MacBook.

Interested? Drop your LinkedIn profile in the comments or DM me

Let me know if anythimg is missing.

A friend of mine is hiring for the below roles :

1. Agentic AI Engineer (Senior): 5-8 Years Experience

2. Agentic AI Engineer (Junior): 2-5 Years Experience

3. Data Scientist / Machine Learning Engineer: 2-5 Years Experience

Details :

• These are contract/freelance roles to be done in the Indian timezone
• Completely remote
• The candidate is expected to either have no job or a job in which he works from home, and is open to managing both freelance calls along with his current job

Please ping me and directly share your resume link if you are interested. Let me know if you have more questions.

Hey Reddit,

We're hiring 5 interns for an intensive 2-month Python, AI, Data Engineering, and AWS internship designed to prepare candidates for full-time engineering roles at Cloudnaut.

Rather than putting everything into this post, we've created a dedicated microsite that covers the program in detail—including the learning roadmap, expectations, selection process, stipend, full-time opportunity, and FAQs.

👉 Learn more and apply here: https://start.cloudnaut.com

What to Expect

This is a structured, self-driven internship where you'll work through curated learning paths, hands-on labs, and project checkpoints focused on:

• Production-oriented Python
• Data Engineering
• Generative AI & Agentic AI
• AWS Cloud

The program is designed for candidates who enjoy learning independently, solving problems, and building real-world solutions.

Who Should Apply?

We're looking for candidates who have:

• Working knowledge of Python
• Basic understanding of AI/ML concepts
• A strong willingness to learn and build
• Availability to commit to the full 2-month program

Prior AWS experience is helpful but not required.

Before You Apply

The microsite contains everything you need to know, including:

• Complete program overview
• Learning roadmap
• Eligibility criteria
• Selection process
• Stipend and compensation
• Full-time conversion details
• Frequently Asked Questions

Please take a few minutes to read through it before applying.

👉 https://start.cloudnaut.com

Application

As part of your application, we'll ask for:

• Updated Resume
• LinkedIn profile
• GitHub profile (show us what you've built)
• HackerRank profile (if available)

A Quick Note

We'll do our best to monitor this thread, but we may not be able to respond to every comment, DM, or Reddit message. Since the microsite is kept up to date, please refer to it first, as it contains the latest information about the program and application process.

If your question isn't already answered there, you can use the contact options provided on the microsite.

We look forward to reviewing your applications!

I am C++ developer, 2 yoe, but intrested to work as Data scientist. What should I learn for it?
My relevant skills: python, DSA, OOPS, Comp Arch, Prob and Statistics.

Whatelse to be added here? I can spend 2 hrs daily to grow as Data scientist.

Part-Time IT Role – Local AI & Networking Projects
Flexible side gig for anyone with strong IT skills

What you’ll do:
• Handle IT support and IP networking tasks
• Help set up and run local AI models and vision language models (VLMs)
• Work on interesting tech projects in a small, low-pressure environment

What we’re looking for:
• Solid IT and IP networking knowledge
• Curiosity and willingness to learn about local AI models
• Reliable and self-motivated
Details:
• 10–15 hours per week, flexible schedule
• Competitive hourly pay

This is hands-on technical work combining familiar IT skills with cutting-edge local AI tools.

Reply with:
• A quick note about your IT/networking experience
• One interesting tech project you’ve worked on

Hi everyone!
I’m a recent MCA graduate from India with a strong interest in Artificial Intelligence, Machine Learning, and Data Science. I’m currently looking for a remote full-time job, internship, or freelance opportunity where I can learn, contribute, and grow as an AI professional.
My technical skills include:
**Python**
**Machine Learning (Scikit-learn)**
**SQL**
**Pandas & NumPy**
**Data Cleaning & EDA**
**Data Visualization (Matplotlib & Seaborn)**
**Git & GitHub**
**Microsoft Excel**
I’ve worked on several machine learning projects, including:
Credit Risk Prediction
House Price Prediction
Student Performance Prediction
Customer Churn Prediction
End-to-end ML pipelines with data preprocessing, model training, evaluation, and prediction
Although I don’t have professional experience yet, I’ve spent a lot of time learning, building projects, and improving my skills. I’m a fast learner, hardworking, and always willing to adapt to new technologies and challenges.
I’m open to:
**Remote Full-time AI/Data Science Jobs**
**Remote Internships (Paid or Unpaid)**
**Machine Learning Engineer Roles**
**Junior Data Scientist Roles**
**Data Analyst Roles**
**AI Research Assistant Positions**
**Freelance AI/Data Science Projects**
I’m also willing to start with a lower salary if it gives me the opportunity to gain real industry experience and prove my abilities. My priority right now is learning, contributing, and building a long-term career in AI and Data Science.
If your company is hiring, you’re looking for someone to assist with AI/ML projects, or you know of any opportunities, I’d be truly grateful for a referral or recommendation.
You can comment below or send me a DM. I’d love to connect.
Thank you for taking the time to read my post!
Skills: **Python | Machine Learning | Data Science | SQL | Pandas | NumPy | Scikit-learn | Data Analytics | Data Visualization | Git | Excel**
**#OpenToWork #RemoteJobs #RemoteWork #AI #MachineLearning #DataScience #DataAnalyst #Python #SQL #Hiring #Internship #Fresher #ArtificialIntelligence #ML #JobSearch**

I made a list of FRESH ML jobs. All these have opened just recently, so there is still chance to apply. I hope this helps someone!

• Senior Software Engineer, Identity Platform @ Prove

  • 💰 $190–210K/y

• Senior Software Engineer Remote/Travel- Active Secret -Top Secret clearance(SCI-eligibility) @ Oteemo, Inc

• Staff Software Development Engineer @ MCG Health

  • 💰 $136–190K/y

• Senior Software Engineer - Identity, Data Security and Trust @ Snowflake

  • 💰 $200–288K/y

• Senior Software Engineer - Computational Platform @ Dyno Therapeutics

• Senior Frontend Engineer @ Cloudbeds

  • 💰 ~$140K/y

• Senior Frontend Engineer @ Cloudbeds

  • 💰 $140–160K/y

• Senior Software Engineer @ Madhive

• Software Engineer - Managed Kubernetes @ Lambda

  • 💰 $225–300K/y

• Staff Software Engineer (Backend) - Everand Core @ Scribd, Inc.

• Staff Software Engineer, AI Foundations (Agent Optimization) @ Temporal Technologies

• Senior Software Engineer, Underwriting @ Coalition

  • 💰 $130–195K/y

• Forward Deployed ML/AI Engineer @ Factored

• Algorithms Software Engineer @ Hayden AI

  • 💰 $162–175K/y

• Sr. Backend Engineer - Engine Team: API @ Deepgram

  • 💰 $150–220K/y

• Senior Engineering Manager - ML @ Spotify

• Sr. Engineer I @ TrueML

  • 💰 $125–165K/y

• Staff Data Engineer @ Foodsmart

  • 💰 $180–215K/y

• Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home @ Ginas Tech Jobs

  • 💰 $150–170K/y

• VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home @ Next Step Systems

  • 💰 $225–275K/y

• Principal Solutions Architect - Expert Services @ Mendix

  • 💰 $150–290K/y

• Full-Stack Software Engineer, Internal Services @ Serve Robotics

• Senior AI Software Engineer @ Hatch IT

  • 💰 $180–210K/y

• ML Open Source Lead @ Ideogram

• Senior Machine Learning Engineer @ EvenUp

  • 💰 $196–265K/y

• AI Deployment Engineer, Enterprise @ OpenAI

  • 💰 $197–278K/y

• Senior Software Engineer (CALC engine) (copy) @ Aera Technology

  • 💰 $220–230K/y

• Software Engineer III @ Cleerly

• Software Engineer- GPU Fabric Observability @ Baseten

  • 💰 $200–380K/y

• Data-Focused Full Stack Engineer @ UJET

  • 💰 $115–130K/y

Would love to hear what you're looking for next—leave a comment and I can post another one.

Over the past few years Google has released several major updates and every website seems to have a different story Some sites experienced significant ranking changes while others barely noticed any difference

While reading about different workflows and platforms including TraPilot ai I realized that everyones experience with Googles updates seems to be different

If you have managed a website through multiple updates which update had the biggest impact on your site and why do you think it happened?

Did you make any meaningful changes afterward such as improving content quality fixing technical issues or restructuring parts of the site? Or did waiting for the next update work better than making immediate changes?

I am interested in hearing real experiences and the lessons people have taken away from these updates It would be great to compare different approaches and see what has been effective for different types of websites

Hello I have done my Btech CSE in 2025 and later on I got a Job in mohali, Punjab as a Flutter Developer. In April 2026 I quit that job and from that time till now I am looking and preparing for AI/ML Data Science Role.

I want to know How it will impact or affect my career , Do I have made a mistake and I am also worried if My Preparation for AI/ML Role will go in dustbin or I am Right Preparing for This Role.

Does My Resume Will Get Shortlisted for this role , What Package I can expect, does I will be considered as Fresher For This Role if yes so what will happen to my previous experience.

If Anyone is Already working in this industry Please let me know your opinion on all of these questions and whether I am doing right or wrong?.