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Help me fix my resume...... i am not gonna call back from anyone.....

Hey. I've got a three-month internship with a stipend of 10,000 rupees per month. The internship role is AI Annotation. The internship timings are from 3:00 p.m. to 12:00 a.m. (Monday to Friday). The thing is, is it worth it? I just graduated this month, about two weeks ago. I have hands-on experience with machine learning models; I've worked on projects like medical plant identification using MobileNetV2 etc etc. I have a good knowledge on ML. But is it worth doing this Internship for 3 months ? I really need your suggestion guys.

Can anyone tell how can we get free API on multiple languages Or any one who can suggest or provide coding for multiple languages in our web application. Our front end is in react and backend in PHP Laravel. Plz DM .

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AI is creating a lot of new job opportunities across tech, marketing, design, customer support, and data roles. You do not need to be a hardcore engineer to get started — many companies are looking for people who can use AI tools, write prompts, analyze results, and improve workflows.

If you are learning AI skills now, you are getting in early. The best move is to build practical experience, stay curious, and keep up with how businesses are using AI every day.

I want to apply for AI/ML job in Meta AI, currently I am doing data science is it possible for me to do AI/ML job role. If yes what should be in my resume that increases my chances. I have exactly one year if there is some sort of preparation required before I graduate also currently this is my semester break.

What is the actual job description for such kind of job. Please guide me.

Can I build 3 really complex projects of industry grade and use them in different resumes as per the role I am applying for.

Project A : for data science showing data science skills used for data science role

Project A : in different resume showing A engineer roles

And similar for machine learning/atentic ai engineer role

I have 2 years of experience in React Native development. Recently, I left my company to focus on learning advanced backend and AI integration skills, including FastAPI, SQLAlchemy, Vector Databases, RAG (Retrieval-Augmented Generation), and AI/Agent-based systems for integration with React Native applications.

Given this combination of mobile development and AI/backend skills, what kind of position or experience level would I be considered for in the current market?

Hi everyone,

I’m a recent Computer Science graduate from India actively looking for AI/ML Engineer / Applied AI / ML Developer opportunities (remote or on-site).

I have 6+ months of startup experience across 2 remote roles, where I’ve worked on production-grade AI systems, ML pipelines, and full-stack AI products. I currently have a PPO, but I’m exploring opportunities where I can work on challenging AI problems, learn from strong teams, and contribute meaningfully from day one.

What I’ve worked on

AI/ML Engineering

• Built and optimized real-world ML inference pipelines, reducing latency from 5s → 300ms (94% improvement) using batching and async processing on AWS + Databricks
• Worked on training, evaluating, and improving production models, including tuning precision/recall tradeoffs, threshold calibration, and iterative feature engineering
• Improved ensemble model agreement from 30% → 68%
• Built retraining workflows for handling model performance shifts as data changed over time
• Developed a model-drift monitoring pipeline used daily by hundreds of data scientists to track performance degradation and trigger investigation
• Designed LLM guardrails (rule-based + embedding-based), reducing unsafe outputs by 54%
• Worked extensively with RAG pipelines, LangChain, HuggingFace Transformers, DistilBERT, NER, NLP
• Built and deployed FastAPI inference APIs integrated into production microservices

Modeling Fundamentals

• Trained neural networks from scratch using only NumPy to deepen my understanding of backpropagation, optimization, and model internals
• Strong interest in understanding systems beyond libraries—not just using frameworks, but understanding how models actually work underneath

LLM & Evaluation Work

• Worked with medical-focused Small Language Models (SLMs) and benchmarked their outputs against frontier models like ChatGPT, Claude, and Gemini
• Experience evaluating model behavior, response quality, safety, and consistency across different architectures

Cloud / Infrastructure

• AWS (SageMaker, Lambda, S3)
• Databricks
• Docker
• GitHub Actions / CI/CD
• PostgreSQL / Redis
• Linux

Full Stack AI Development

• Built AI SaaS products using React, Next.js, Node.js, FastAPI, tRPC
• Developed scalable backend services and real-time APIs
• Integrated third-party APIs and workflow automation systems

Notable Projects

1. AI Threat Intelligence Platform (Cybersecurity + ML)

• Built an end-to-end threat intelligence platform combining ML + NLP + security automation
• Achieved 96% phishing email classification accuracy using fine-tuned DistilBERT
• Built hybrid IOC extraction pipeline (NER + regex) for malware indicator extraction
• Full-stack deployment with React + FastAPI
• Patent pending on the underlying AI-based threat intelligence and IOC classification system

2. Visual AI Workflow Builder

• Built a drag-and-drop AI workflow platform for designing and executing LLM pipelines
• 30+ integrations
• Real-time execution using LangChain
• Type-safe APIs and multi-user workflow persistence

3. Emotion-Aware Memory Engine (Research / Ongoing)

• Working on an AI architecture with a pending patent focused on an emotion-aware memory engine
• Exploring adaptive local memory, context retention, and persistent personalization for more human-like model behavior across sessions

Tech Stack

Python, JavaScript, C++, PyTorch, Scikit-learn, XGBoost, HuggingFace, LangChain, FastAPI, React, Next.js, Node.js, AWS, Databricks, PostgreSQL, Docker

Achievements

• Runner-up, National CTF (400+ teams) — reverse engineering, web exploitation, and forensics
• Top performer, AWS Cloud Security CTF
• Patent pending on AI-based intelligent systems

Open to:

✅ AI/ML Engineer roles
✅ Applied AI / LLM Engineer roles
✅ Machine Learning Engineer roles
✅ AI startups / research-driven teams
✅ ML + Security / Cyber AI roles

Location: India (Open to remote / international opportunities)

If you think I could be a fit for your team, feel free to DM me — happy to share my resume and chat.

Thanks!

I don’t know what to ask for help with anymore. I’ve been referred many times, sometimes even by senior staff ML engineers. They’ve even sent my profile directly to their recruiting teams, but still nothing is working.

Referrals aren’t working. Senior staff reaching out to recruiting teams isn’t working. So what am I supposed to do now?

I honestly have no clue. I’m feeling hopeless at this point. Please help if there’s actually something you can do. I’d be very grateful.

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Hi everyone,

I’m currently serving my notice period and exploring the market for AI/ML roles. I have around 4 years of experience working in Machine Learning, Generative AI, NLP, LLMs, RAG systems, and enterprise AI applications.

Current CTC: 20 LPA
Received Offer: 32 LPA overall CTC

Tech stack includes Python, LangChain, Azure OpenAI, vector DBs, FastAPI, cloud, chatbot/document search systems, and GenAI-based automation projects.

Wanted to understand from people currently hiring/interviewing in the ML/GenAI space — based on current market trends in India, what salary range should someone with this profile realistically expect in 2026?

Also, are companies still paying aggressively for good GenAI/LLM engineers, or has the market normalized now?

Would appreciate honest insights from recruiters, hiring managers, or people who recently switched.

Hi everyone,

I am a final-year Electronics and Communication Engineering student at NMAMIT, graduating in 2026, currently completing an AI research internship at Ritsumeikan University, Japan, where I design and ship real computer vision systems for real-world healthcare applications.

What I am building and shipping right now:

• End-to-end computer vision pipeline for human mobility classification using thermal cameras, deployed on NVIDIA Jetson TX2 for real-time edge inference
• Deep learning architecture benchmarking across multiple models and 9 dataset configurations to identify the best performing approach for the task
• Custom dataset engineering including labeling strategy design, frame extraction pipelines and class balancing built entirely from scratch
• Sequence classification using LSTM on top of extracted skeletal features to distinguish distinct human mobility states
• Manuscript under internal review for a journal paper on data augmentation techniques for pose estimation in thermal images
• Stack: Python, PyTorch, OpenCV, scikit-learn across the full lifecycle from data to deployment

What I am looking for:

• ML Engineer / Computer Vision Engineer / AI Research Engineer / Data Scientist
• Open to anything — full-time, internship with conversion, short-term contracts or remote freelance work
• Flexible on duration and format — if the work is interesting and the team is good, I am in
• Open to relocation or fully remote

If your team is hiring, or you know someone who might be — a referral, a DM, or even just a nudge in the right direction would mean the world.

📄 Resume: Available on request 💼 linkedin.com/in/armanmayub 📧 armanmayub@gmail.com

Got into Meta’s final interview loop for a SWE, ML role. Two rounds are AI-native coding and I have no clue how to prep for them.
Have gone through some material online but still nervous about how it’ll turn out.
Anyone gone through this recently? What do they actually test?
Also how’s Meta’s hiring looking right now? Are they actually closing offers or is it slow with all the layoff news?

Looking for Senior Software Engineers for AI Evaluation & Benchmarking Work

Seeking experienced engineers with strong Python/software engineering backgrounds for remote AI evaluation and coding benchmark projects.

Ideal candidates should have:
• 4+ years of software engineering experience
• Strong Python proficiency
• Experience working with large codebases/repositories
• Familiarity with data pipelines, testing, debugging, and evaluation workflows
• Experience in high-performance engineering environments is a plus

Work involves:
• Evaluating AI-generated code
• Building/working with coding benchmarks
• Testing reasoning/debugging capabilities of frontier AI systems
• Technical analysis and structured evaluation tasks

Important:
All candidates will be required to pass a technical evaluation/screening test before onboarding. This is not beginner-level work.

Remote contract-based engagement.
DM with:
• Resume/LinkedIn/GitHub
• Years of experience
• Languages/frameworks you work with
• Relevant benchmark/evaluation/LLM experience (if any)

Need for professional developers

I need a developer who is familiar with at least one of these areas;

Full-stack.

Backend.

Machine-Learning.

Java.

Pyton.

AI/ML

C#

And have complete fluency in English.

[supprimé]

Bit of a weird post, but here goes.

I’m a Machine Learning / AI engineer with experience building and shipping production AI systems end to end. I’ve worked on LLM pipelines, RAG systems, FastAPI microservices, vector databases, AWS SageMaker deployments, backend systems, and production ML infrastructure. Worked at startups and fast-moving teams where ambiguity was normal and you just figured things out. Also worked on a government-funded cancer recurrence research project and have experience across BERT, XGBoost, OpenAI, Gemini, and production deployment workflows.

Reason I’m posting. I recently joined a new role on a contract basis and honestly, I’m realizing pretty quickly it’s not the right fit. The environment feels rough. Founders publicly scolding people during scrum calls, everyone overloaded, very little bandwidth to onboard or help, and that weird feeling where people protect work because they’re already drowning in dependencies. I get startups are chaotic. I actually enjoy chaos. But there’s a difference between moving fast and burning people out.

So if anyone knows teams hiring for ML Engineer, AI Engineer, Applied AI, GenAI, or backend-heavy AI roles, remote or Bangalore preferred, I’d genuinely appreciate a referral or even pointing me in the right direction.

Happy to share resume, GitHub, LinkedIn, whatever helps.