You're in an AI Engineer interview at Google DeepMind and the interviewer asks:

"Your 1B parameter proxy model trains perfectly with a 1.2e-4 learning rate. You scale the model to 70B, and the training immediately explodes. What's the most 𝘭𝘪𝘬𝘦𝘭𝘺 reason and how do you fix it 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 running a new, expensive hyperparameter sweep?"

Most candidates say: "The model is too big, so the updates are unstable. I'd add gradient clipping and just keep lowering the learning rate manually until it's stable."

Wrong. That's a patch, not a solution. You're just masking the root cause and wasting millions in compute cycles trying to find a new LR.

The reality: This isn't a 𝘵𝘶𝘯𝘪𝘯𝘨 problem, it's a 𝘱𝘢𝘳𝘢𝘮𝘦𝘵𝘦𝘳𝘪𝘻𝘢𝘵𝘪𝘰𝘯 problem.

You're seeing a classic failure of 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝 𝐏𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 (𝐒𝐏).
In SP models, the optimal learning rate 𝘴𝘩𝘪𝘧𝘵𝘴 as you scale the model's width. The LR that was perfect for your 1B proxy is now catastrophically large for the 70B model because the update dynamics didn't scale uniformly with the parameters.

The fix is to use 𝐌𝐚𝐱𝐢𝐦𝐮𝐦 𝐔𝐩𝐝𝐚𝐭𝐞 𝐏𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 (𝐌𝐔𝐏).

MUP is 𝘯𝘰𝘵 just another initialization scheme. It's a set of rules that scales both the initializations AND the 𝘱𝘦𝘳-𝘭𝘢𝘺𝘦𝘳 𝘭𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘳𝘢𝘵𝘦𝘴 (e.g., scaling them by 1/width ).

This re-parameterization does one magical thing: it makes the optimal hyperparameters, especially the learning rate, scale-invariant.

This means the optimal LR you found on your cheap 1B proxy directly transfers to your 70B monster. No new sweep needed.

𝐓𝐡𝐞 𝐀𝐧𝐬𝐰𝐞𝐫 𝐓𝐡𝐚𝐭 𝐆𝐞𝐭𝐬 𝐘𝐨𝐮 𝐇𝐢𝐫𝐞𝐝

"With Standard Parameterization, you're forced to find a new, unstable learning rate for every scale.
With MUP, you find the optimal LR once on a small proxy, and it remains optimal at any scale. You don't scale the LR; you build the model to fit the LR."

*Hiring: AI Developer (NLP | GenAi) — 0–2 Years Experience*

At AI India Innovations, we build next-generation AI systems that drive real-world automation and enterprise transformation.
If you’re passionate about language models, ASR, RAG, and applied NLP research, this is where you’ll grow fast and work on meaningful, production-grade projects.

*Role Overview*
As an AI Developer (NLP), you’ll collaborate with our core AI team to design, train, and deploy advanced language and speech models.
Your work will span RAG pipelines, embeddings, fine-tuning, and ASR model optimization for real-world applications.

💡 Apply only if you have hands-on experience with ASR (Automatic Speech Recognition) and LLMs.

*Key Responsibilities*
- Develop and fine-tune NLP models: classification, embeddings, entity extraction, transformers
- Build and optimize LLM & RAG pipelines for real-world use cases
- Research and implement latest NLP/LLM advancements from academic papers
- Develop conversational AI agents and intelligent text analytics systems
- Prepare and preprocess datasets, benchmark models, and optimize accuracy/performance
- Maintain structured documentation for experiments and architectures

*Requirements*

Strong grasp of NLP fundamentals: tokenization, embeddings, transformers

Hands-on experience in Python, PyTorch/TensorFlow, and HuggingFace

Solid understanding of LLMs, RAG, and vector databases

Familiarity with LangChain or LlamaIndex is a plus

Experience with data preprocessing and evaluation metrics

Strong research mindset and problem-solving ability

Excellent communication and teamwork skills


*Bonus Skills (Good to Have* )

- Exposure to cloud platforms (AWS/GCP/Azure)
- GPU nvidia server
- Prior work in chatbots, LLM fine-tuning, or ASR-based NLP systems

📍 Location: Pune (Work From Office), We are giving preference to pune based candidates.
📧 Apply at: hr@aiindia.ai
📂 Send: Resume + GitHub/Portfolio + 1–2 NLP Project Links
Subject Line: Application for AI Developer (NLP)

Don't expect a response from us if No experience on ASR / whisper fine tuning.

🚀 We’re Hiring | Data Scientist / ML Engineer | Pune 🚀
Are you passionate about turning data into impactful insights and building intelligent models that drive real-world decisions?
Here’s your opportunity to join a dynamic team where innovation meets data!

📍 Location: Pune
💼 Experience: 2.5+ years
🧠 Key Skills: Classical Machine Learning, Python, Data Science

Minimum Qualifications:
✅ Minimum 2 year of experience in statistical analysis & modeling
✅ Minimum 2 year of programming experience
✅ Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field

If you’re looking to work on exciting ML projects and grow in a data-driven environment — we’d love to connect!

📧 Share your profile at: abhishek.la@peoplefy.com

🚀 Hiring: Data Scientist 🚀

Are you passionate about Machine Learning, NLP, and Generative AI?
Join YASH Technologies and be part of a team that’s shaping the future of intelligent systems and enterprise innovation! 💡
📍 Location: Indore | Pune | Hyderabad | Bangalore
💼 Experience: 5+ Years
🧠 Key Skills & Expertise:
Lead ML, NLP, Deep Learning & Generative AI projects
Work with large-scale, distributed datasets
Align models with business objectives and ensure scalability
Strong in Python, R, or Scala
Hands-on with TensorFlow, PyTorch, Hugging Face
Experience with LLMs, fine-tuning, and prompt engineering
Proficient in cloud ML platforms (AWS / Azure / GCP)
📩 Interested?
Send your resume to nikhil.panchal@yash.com

Job Title: AI Intern (NLP)

We build advanced AI systems that power real-world automation and enterprise transformation. From LLMs to enterprise-grade conversational AI to intelligent automation, we are crafting AI that delivers impact at scale. If you're passionate about NLP, speech models, and hands-on experimentation, this is your space to grow fast.

Role Overview: As an AI Intern (NLP), you will work with our core AI team on cutting-edge language models, text intelligence systems, and conversational AI. You’ll contribute to RAG pipelines, fine-tuning, embeddings, and real-world NLP problem-solving.

Responsibilities
• Work on NLP model development: text classification, embeddings, entity extraction, transformers
• Assist in building and optimizing LLM and RAG pipelines
• Fine-tune pre-trained LLMs for domain-specific tasks
• Research and experiment with latest NLP techniques and papers
• Support development of conversational AI agents and text analytics solutions
• Build datasets, evaluate models, improve accuracy and performance
• Document experiments, architecture and outcomes

Requirements
• Strong understanding of NLP fundamentals: tokenization, embeddings, transformers
• Hands-on experience with Python and libraries like PyTorch/TensorFlow, HuggingFace
• Good understanding of LLMs, vector DBs, RAG concepts
• Knowledge of LangChain / LlamaIndex is a plus
• Familiarity with data preprocessing, text cleaning, and model evaluation metrics
• Strong problem-solving and research mindset
• Good communication skills and team-first attitude

Nice to Have
• Experience with prompt engineering
• Exposure to cloud platforms (AWS/GCP/Azure)
• Prior projects in chatbots, text analytics, or LLM fine-tuning

What You Get
• Hands-on exposure to enterprise AI & GenAI solutions
• Real-world research + product experience
• Mentorship from experienced AI engineers & CEOs
• Opportunity to convert to full-time role based on performance
• Stipend range will be 8 to 20k

Location: Pune

How to Apply: Share your resume + GitHub/portfolio + 1-2 NLP project links at: teams.aiindia@gmail.com

Apply only if you have worked on ASR.

Subject: Application for AI Intern (NLP)

💬 We’re hiring: AI/ML Engineer
📍 Location: Noida
💼 Experience: 0.6 to 1.5 Years
💡 What you’ll work on:
Designing and developing ML models for interview scoring, behavior analytics, and recommendations
Implementing NLP for sentiment analysis, voice-to-text, and entity recognition
Building scalable data pipelines for training and deployment
Collaborating with cross-functional teams to bring AI components to life
Staying ahead with the latest AI/ML trends and innovations

Tech we love: Python | TensorFlow | PyTorch | FastAPI | React | AWS/GCP

Why InnovationM?

Work on cutting-edge AI products
Exposure to complex and challenging projects
Strong focus on continuous learning and development

Be part of a collaborative, innovation-driven team.
If you’re ready to push the boundaries of AI and build the future of hiring — we’d love to hear from you!

📩 Apply now - Srishti.shukla@innovationM.com

🚀 We’re Hiring: AI Engineer (Remote) 🌐 India-Based Candidates Only
Join Future Tech Factory to build cutting-edge AI solutions that shape the future!

We’re looking for an AI Engineer with 2–3 years of experience in Python, ML/DL, and cloud deployment.

💥 Key Skills:
Python | TensorFlow / PyTorch | SQL | Flask / FastAPI | AWS / Azure / GCP | MLflow | Airflow

💥 Nice to Have:
LLMs | NLP | Computer Vision
📍 Location: Remote (India Only)
🕓 Type: Full-time
🚀 Start Date: ASAP
🎓 Eligibility: CS / IT / Data Science graduates only
If you’re passionate about scalable AI and innovation, we’d love to hear from you!

📧 Apply Now: Send your resume and LinkedIn profile link to mrunali.bramhe@avendata-group.com