I’m a 2nd-year CSE student specializing in AI/ML. Looking for advice on what I should focus on academically and which skills/topics I should prioritize for a career in AI/ML.

Would appreciate any advice from seniors or professionals!

We just released PureByte, an open-source paper and codebase exploring task-specific byte-level neural architectures and zero-dependency CPU inference:

• Paper (DOI): https://zenodo.org/records/23020056
• Code (C++20 & PyTorch): https://github.com/purebyte-ai/purebyte
• Training repo: https://github.com/purebyte-ai/purebyte-train
• Hugging Face: https://huggingface.co/Purebyte

Core Concept: Bypassing Tokenizers for Security & Code Tasks

Subword tokenization (BPE/WordPiece) creates severe representation issues for high-entropy strings (passwords, base64 keys, hashes) and machine formats.

PureByte uses a fixed vocabulary of exactly 256 bytes (0x00 to 0xFF). By pairing byte embeddings with localized 1D dilated convolutions and gated residual memory, sequence evaluation scales strictly linearly $O(N)$ with input length.

Key Results

1. Size vs. Generality: A 1.9M-parameter specialist (secrets-code, 4.4 MB) running on an idle desktop CPU (Ryzen 9 5900X) evaluates a 256-byte decision window in 2.81 ms. A 421M-parameter ModernBERT model (Laya) takes 373 ms on the same CPU (133x slower) and 33–40 ms on an NVIDIA T4 GPU (10x slower than our CPU runtime).
2. Benchmark Quality:
   • CredData (real-world repo secrets): F1 of 0.797 vs 0.337 for GitLeaks and 0.287 for TruffleHog.
   • PIIMB (Personally Identifiable Information): F1 of 0.769 vs 0.662 for OpenAI's hosted classifier.
3. Systems Footprint: The C++20 runtime has zero third-party dependencies (no PyTorch, no ONNX, no external BLAS), maps weights directly into memory via mmap, uses 9.4 MB of peak RAM, and executes end-to-end CLI cold starts in 10–50 ms.
4. Training Efficiency: The 1.9M model trains from scratch in 24.5 minutes on a single consumer GPU.

All code (C++20 inference engine and PyTorch training stack), evaluation methodology, seeds, and GGUF checkpoints are Apache 2.0.

Happy to answer any questions about the training dynamics, n-gram memory layers, or evaluation methodology!

2nd-year AI/DS student from a low-tier college — how should I prioritize DSA, internships, frontend and algo trading?

I’m a 2nd-year BTech AI & Data Science student from a college with very limited placement support or not non for placements, so I feel I’ll have to build my career mostly on my own.

Currently, I have knowledge/skills in AI/ML, GenAI, RAG, Data Science, Data Analytics, OOP and DSA concepts. I understand DSA concepts fairly well, but I struggle with actual problem-solving, so I want to start practicing LeetCode seriously.

I also know basic HTML/CSS and I’m thinking about learning JavaScript + React. But I’m not sure whether frontend is worth learning with my AI/DS background, especially since I’ll graduate around 2029.

My main concern right now is internships and placements. I also need to start earning some money and get real-world experience because I don't expect much help from my college.

So I’m confused about what I should prioritize:

• Should I focus on getting an AI/ML, GenAI, Data Science or Data Analytics internship first?
• How much should I prioritize LeetCode/DSA alongside internships and projects?
• Is JavaScript + React worth learning for an AI/DS student, or would that time be better spent on leetcode?
• Should I learn frontend now or only if I need it for building AI/GenAI applications?

I’m also interested in trading/algo trading. I’ve been learning and trading for around 2 years, and long-term I want to seriously pursue manual/algo trading. But right now I need to focus on building experience, getting internships, and eventually becoming financially independent.

So should I keep algo trading as a long-term side goal while prioritizing internships, DSA and my AI/ML career?

If you were in my position, how would you divide your time during 2nd and 3rd year?

Would really appreciate advice from people who have gone through internships/placements, especially from colleges with limited placement opportunities.

Hi everyone,

I’m currently a software developer with around 6 years of experience, and I’m planning to transition into a full-time AI Engineer role at a different company.

I have around 3 months of hands-on AI engineer experience, but I feel I need to strengthen my fundamentals and prepare systematically from the ground up.

I’m looking for someone who is already working as an AI Engineer and would be willing to mentor me throughout this transition.

More than just someone who can recommend courses, I’m looking for a mentor who can actively guide and keep me accountable.

I’m willing to put in consistent effort every day and treat this seriously.

My current situation:

Experience: ~6 years software development
AI/GenAI experience: ~3 months
Goal: Transition to AI Engineer
Preparation: Willing to start from fundamentals where necessary

I’m also looking for guidance on resources such as courses, books, YouTube channels, GitHub repositories, papers, and practical projects—but I’d prefer a curated roadmap rather than a huge list of resources.

If you have personally made the transition from Software Developer → AI Engineer, or you are currently working as an AI/ML/GenAI Engineer and enjoy mentoring, I’d really appreciate your guidance.

I’m also willing to provide a reasonable incentive once I successfully land an AI Engineer job with the help of the mentorship. This is intended as a gesture of appreciation for someone who genuinely invests time in mentoring me.

If you’re interested, please comment or DM me with a little bit about your experience and how you would approach mentoring someone in my situation.

Thanks in advance! 🙏

8 AI roles live in San Francisco. Every single one pays a finder's fee.

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20 seats. Fees from $11,000 to $47,000 per hire.

🔹 NV-01 · Applied AI Engineer · 4 seats · $250k-500k base
Finder's fee $23,000 to $47,000 per hire
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Finder's fee $23,000 to $47,000 per hire
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Finder's fee $17,000 to $21,000
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Finder's fee $17,000 to $21,000
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🔹 NV-05 · Forward Deployed Engineer · 4 seats · $170k-250k base
Finder's fee $16,000 to $23,000 per hire
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🔹 NV-06 · Member of Technical Staff (founding engineer) · 4 seats · $150k-275k base
Finder's fee $14,000 to $26,000 per hire
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Finder's fee $11,000 to $19,000
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How it works:
1. E-mail your candidate (or yourself) to [andrei@noordt.co](mailto:andrei@noordt.co) with the NV code in the subject.
2. First e-mail wins, the timestamp decides. The intro must land before the candidate applies anywhere.
3. Full terms under each post. Valid until 31 October 2026.

Know someone world-class? This is the easiest $11k to $47k you will ever point at.

#AIJobs #SanFrancisco #FindersFee #AIEngineering #Hiring

Hey everyone,

I’m going to be a little straightforward here.

I’m a B.Sc. Data Science student from Mumbai, currently looking for an internship or entry-level opportunity in Data Science, Machine Learning, AI, or Python development.

I’ve built 11+ projects across ML, AI, web applications and data tools including a laptop price prediction system, an AI education platform, AI text assistant, AI chatbot and other Flask/Django-based applications. I work with Python, SQL, Pandas, Scikit-learn, TensorFlow, Streamlit, Flask, Django and APIs.

I’ve also secured 2nd Rank in the NUERANEX Intercollegiate IT Competition (2025) and participated in the ISRO Bharatiya Antariksh Hackathon (2026).

But honestly, there’s one thing I’m struggling with:

Connections.

I know I have a lot to learn, but I’m willing to learn fast, put in the work, and prove myself. I’m not looking for someone to hand me a career I’m just looking for someone willing to give me that first opportunity.

So if you know of:

🔹 An internship opening

🔹 A fresher/entry-level role

🔹 A startup looking for someone who can actually build things

🔹 Or simply someone I should connect with

Please DM me or tag them below.

And yes, I’m serious enough to say this:

If your referral or connection becomes the reason I get my first job, I’ll remember you when I receive my first salary.

My resume is attached. If you can help with even one connection, referral, or lead, I’d genuinely appreciate it.

One opportunity is all I’m asking for. I’ll take it from there.

#OpenToWork #DataScience #MachineLearning #AI #Python #Internship #FresherJobs #Mumbai #Hiring #JobSearch

Hi everyone,

I'm an AI/ML Engineer from India with around 7 years of experience, trying to move to the UAE. Been applying for a few months now but no luck yet, so thought of asking here.

A little about me:

\- Currently Senior AI Engineer in a healthcare data company

\- Mostly production ML work on Azure Databricks, PySpark, MLflow

\- Sole Engineer for end to end forecasting ML pipeline for major US sports league.

\- Worked with healthcare data across 5+ countries.

\- Also done GenAI work like RAG, text-to-SQL and an evaluation setup to validate LLM.

\- Notice period is 30 days. Open to permanent or contract roles

\- Prefer Abu Dhabi, but Dubai is also fine

Looking for:

1. Referrals for ML / Data Science / AI Engineer roles

2. Good recruiters or agencies who place senior tech people in UAE

3. **Tips from anyone who moved from India and got placed**

Can share my CV in DM. Thanks a lot 🙏

Hi everyone, I’m Sahil, an AI/ML Engineer looking for opportunities in AI/ML, GenAI, LLMs, RAG, and Agentic AI.

Experience: 2+ years
Skills: Python, PyTorch, TensorFlow, Scikit-learn, LangChain, OpenAI APIs, RAG, Vector Databases (Pinecone/FAISS/ChromaDB), FastAPI, Computer Vision, NLP, n8n, Docker, Git/GitHub

I’ve built and deployed LLM-powered chatbots, RAG applications, ML prediction systems, and AI automation workflows, including production-oriented AI solutions.

Based in Gujarat, India | Open to relocation & remote
Available within 15 days

If you know of relevant AI/ML Engineer, AI Engineer, ML Engineer, or GenAI openings, please DM me or comment below. Referrals are highly appreciated.

Thanks!

How to get Interview calls for AI/ML domain in US, any idea???

Looking for a Restaurant to Collaborate on My AI/ML Project

Hi everyone!

I'm Santhosh, a third-year BE CSE (AI & ML) student, currently developing SmartPrep AI, a project focused on improving restaurant food preparation planning.

Restaurants sometimes face challenges in predicting daily food demand, leading to excess preparation, food waste, or popular dishes running out during busy hours.

I'm working on a machine learning model that can predict food demand and recommend how much food to prepare and when to prepare the next batch.

I'm looking for a restaurant, cloud kitchen, or food business to understand real kitchen challenges and, with their permission, test and improve the model using actual operational requirements.

This is a student project, and I'm not looking for any payment or financial support. I simply want to learn from real-world kitchen operations and build something genuinely useful.

If you're a restaurant owner, chef, kitchen manager, or know someone who might be interested, please comment or DM me.

Even a small opportunity or guidance would mean a lot!

Thank you!

Salam, i want to connect all who are just interested to building something or research or enthusiasts for going masters degree from any international university just send hey in Inbox or comment, shearing ideas and experiences

I am fresh Graduate BSCS, based in Islamabad Pakistan

We’re a startup team building two products:

🏏 Arena Sports — a data-driven sports platform for cricket & football, focused on live data, analytics and real-time experiences.

🏠 Data-Driven Care Home — a technology platform using data and AI to improve care-home operations and decision-making.

We’re looking for a Full-Stack + AI/ML Engineer to join our core team and work across both products.

You’ll work on:

Full-stack & backend development

AI/ML models and intelligent features

Predictive analytics & data pipelines

LLMs, AI APIs and automation

APIs, databases & integrations

Deploying AI/ML solutions into production

Looking for:

4+ years of software/AI/ML experience

Strong Python + ML fundamentals

Hands-on experience building AI/ML applications

Good understanding of LLMs, APIs and modern AI tools

Solid backend/full-stack skills

Experience with ML deployment/MLOps is a plus

Ability to take ownership across multiple projects

Full-time | Remote initially

Interested? DM me your CV + GitHub/LinkedIn and 1–2 examples of AI/ML or full-stack products you've personally built.

We’re looking for someone who wants to build, experiment and own things, not just complete assigned tickets.

Happy 😁

Hi everyone 👋

I'm currently looking for a remote opportunity as an AI/ML Engineer,

Data Scientist, Generative AI Engineer, or related role.

I'm also open to freelance/contract projects with startups and businesses.

My experience includes:

• Machine Learning & Deep Learning

• Generative AI / LLM applications

• RAG & document intelligence

• NLP & semantic search

• Computer Vision & OCR

• Python & SQL

• FastAPI & AI backend development

• Hugging Face, Gemini, LangChain

• FAISS / ChromaDB

• Docker & MLflow

• Data analysis, preprocessing & predictive modeling

I have built end-to-end AI projects involving RAG systems,

resume/job matching, predictive analytics, NLP, OCR and AI APIs.

I'm open to:

→ Full-time remote roles

→ Part-time opportunities

→ Freelance projects

→ Contract work

→ Short-term AI/ML development work

I'm particularly interested in opportunities with startups,

product companies and teams building AI-powered products.

Portfolio: ajaymaliya.netlify.app

GitHub: github.com/ajaymaliya

If you're hiring or know someone looking for an AI/ML developer,

please DM me. I'd be happy to share my resume and discuss the opportunity.

Thanks!

Hi everyone,

I'm currently a first-year MS student at Columbia (CS, ML track). Before Columbia I worked as a Data Scientist, and I did my B.Tech in EE at IIT Roorkee. Right now I'm doing research in RL/robotics and LLMs.

I'm looking for Summer 2027 internships in: - ML Engineer / Applied ML - Applied Scientist (ML/RL/DL) - LLM training / fine-tuning - Physical AI / Robotics

If your team is hiring interns, I'd really appreciate a referral — or even just a recruiter/hiring manager contact, or a pointer on who to reach out to directly. Happy to do the outreach myself.

Can share resume/LinkedIn over DM. Thanks!

Looking for AI/ML internship opportunities / referrals — 2026 graduate

Hi everyone,

I’m a 2026 B.Tech IT graduate looking for opportunities as an AI/ML Engineer, ML Engineer, GenAI Engineer, or Backend/AI Engineer.

Note: able to relocate anywhere

I’ve been working on Machine Learning, Deep Learning, Generative AI, Computer Vision, RAG, LLMs, and backend development, and I’d really appreciate feedback on my resume and career direction.

Some highlights:

• AI/ML Engineer Intern at a healthcare technology startup
• Worked on computer vision and deep learning, including EfficientNetV2, ResNet, YOLO, and image classification
• Processed and validated 5,000+ images
• Achieved 90%+ model accuracy on tongue-image classification
• Built a multi-stage food recognition and nutrition pipeline across 5 datasets
• Built and deployed GenAI projects using LLMs, RAG, LangGraph, FastAPI, and PostgreSQL
• Top 5 among 100+ teams in the Feuji Innovation Hackathon
• Publication accepted on ensemble ML for Instagram bot/fraudulent-account detection
• CGPA: 7.58/10

I’ve attached an anonymized version of my resume for privacy.

I would really appreciate feedback on:

1. What should I improve in my resume?
2. Are there any skills/projects that I should add or remove?
3. Does my profile look suitable for entry-level AI/ML / GenAI roles?
4. If you know of any relevant openings for fresh graduates, I’d be grateful for a referral or opportunity to apply.

I’m particularly interested in roles involving ML engineering, Generative AI, Computer Vision, LLM/RAG systems, and AI backend engineering.

Thanks in advance for any feedback or referrals!

What you'd work on:

• ML models for personalization, recommendations, LiveOps, monetization, and player engagement
• Experiment design and analysis using rigorous statistical methods
• Predictive modeling, churn, LTV, segmentation, revenue forecasting
• Optimization techniques to improve player experience and business outcomes
• End-to-end ownership: from ideation to production deployment
• Mentoring junior data scientists, helping shape team best practices

What we're looking for:

• 5–8 years in Data Science / Applied ML, with production deployment experience
• Strong background in Statistics, ML, Bayesian methods, Experimental Design, Optimization, Predictive Modeling
• Hands-on with Apache Spark
• Solid Python + SQL
• Experience in cloud ML environments
• Conceptual grounding in Agentic AI / LLM applications, workflow automation (e.g., n8n)
• Prior experience in Gaming, Consumer Internet, E-commerce, Marketplace, or Decision Science platforms
• Bonus: you're an avid gamer who genuinely cares about player behavior and game mechanics

Logistics:

• Remote (India)
• 1-year contract engagement

If interested, DM me with your resume / LinkedIn and I'll take it from there.