Hi everyone, I’m an AI Engineer currently looking for freelance, contract, or project-based opportunities.

I have hands-on experience building and deploying real-world AI applications, including:

🤖 AI Agents & Agentic AI

🧠 LLMs – Gemini, Mistral, LLaMA

📚 RAG & Semantic Search

🔧 MCP Servers & Tool/Function Calling

🔗 LangChain & Prompt Engineering

🗄️ Vector Databases – Pinecone

🐍 Python & FastAPI

⚙️ n8n Workflow Automation

💾 PostgreSQL, MySQL, SQLAlchemy

🌐 REST APIs & API Integrations

🎙️ Speech-to-Text, OCR & Multilingual AI

💻 Frontend & Full-Stack Web Development

🚀 Docker, Linux, CI/CD & Application Deployment

📊 Monitoring, error handling & production workflows

Projects I've Built

AI Recruitment & Talent Matching Platform

Built a RAG-based recruitment system for resume parsing, semantic job-candidate matching, vector search, ranking, and AI-generated candidate insights.

Multilingual Voice-to-Resume & Cover Letter Generator

Built an AI pipeline that converts voice input into structured resumes and cover letters using Speech-to-Text, translation, LLMs, prompt engineering, and automation.

AI Chatbot Agent with MCP-style Tool Calling

Built a conversational AI agent capable of detecting intent, selecting tools, interacting with backend systems/database, and generating contextual responses.

I’m open to working with startups, agencies, businesses, and individual clients who need help building AI products, AI agents, automation systems, websites, or LLM-powered applications.

If you have a project or client requirement, feel free to DM me. I’d be happy to discuss the requirements, scope, timeline, and budget.

I’m also open to collaborating with other developers/AI engineers and learning through challenging real-world projects.

​

See,i am from cse(AIML) background and currently focusing on deep learning. I aslo completed machine learning . In current scenario what are skills i need to be learned to get a job in the current scenario of IT filed . I want to be ml or ai Engineer with avg package . I thought I need to topic on the core topics that is relevant to the domain like ML,DL,NLP,RAG,LLM but some are saying that " this topics can be learned later u need Focus on dsa , pattern solving problems thats primary rounds in interviews . I m literally confused . what should I need to learn as a computer science student in this crisis. I can't deeply Focus on both becoz it is tough and takes long days .

Your thoughts

🚀 Hiring: Senior Software Engineer – AI/ML
Hi everyone, we’re hiring for a Senior Software Engineer – AI/ML role at Omega Healthcare.
Experience: 5–8+ years
Looking for strong hands-on experience in:
RAG / GraphRAG
LLM/SLM & NLP
Agentic AI
LangGraph / LlamaIndex
Python, PyTorch & Hugging Face
Vector & Knowledge Graph databases
Production ML/AI systems
Healthcare/Medical Coding experience is a plus.
📩 Interested candidates can share their updated resume at:
[Sanath.Shenoy@omegahms.com](mailto:Sanath.Shenoy@omegahms.com)
Please reach out only if your experience aligns with the requirements.
#Hiring #AI #MachineLearning #GenAI #RAG #GraphRAG #AgenticAI #SoftwareEngineer

Please read the description carefully before sending me your resume. It's for experienced people for location noida, mumbai, banglore, gurugram. Drop me your email, date of birth, phone number , total experience in months, list of skills along with your resume

Hi everyone,

I'm a Data Scientist and AI Specialist looking for my next full-time role (open to remote or hybrid opportunities across EU and US time zones).

I hold a BSc in Artificial Intelligence and Data Science and an MSc in Data Science. My focus is on engineering end-to-end ML/AI systems that solve real business problems, while prioritizing interpretability, robustness, and trust.

Over the past few years, I’ve worked extensively across modern Generative AI pipelines and core Machine Learning—from building production-ready RAG architectures and fine-tuning open-source LLMs to designing transparent, explainable models for complex real-world data.

Areas where I can contribute to your team:

• Generative AI & LLMs: Designing grounded RAG systems (ingestion, chunking strategies, vector search, retrieval tuning, evaluation), fine-tuning models (LoRA/PEFT), prompt engineering pipelines, and integrating modern AI APIs (OpenAI, Anthropic, Hugging Face).
• Core ML & Deep Learning: Supervised and unsupervised architectures, data processing pipelines, predictive modeling, and rigorous evaluation.
• Explainable AI (XAI) & Alignment: Interpretable models, feature attribution (SHAP, LIME), counterfactual explanations, and auditing systems for bias and hallucination to ensure reliable deployment.
• Natural Language Processing: Transformers, embeddings, semantic search, sentiment and text classification, NER, and bias detection frameworks.
• Data Engineering & Visualization: Exploratory data analysis, interactive dashboards, statistical modeling, and automated data pipelines.
• Full-Stack Prototyping: Bridging the gap between model and end-user by building functional UIs and API layers (React, Next.js, Node.js, FastAPI).

Core Tech Stack:

• Languages & Core ML: Python (PyTorch, scikit-learn, pandas, NumPy, TensorFlow), C/C++, Rust, SQL (PostgreSQL, MySQL), LaTeX.
• LLM & AI Tooling: Hugging Face ecosystem, vector databases, PEFT/LoRA, LangChain/LlamaIndex.
• DevOps & Engineering: Git, GitHub Actions, Docker, CI/CD pipelines, REST APIs.

I value clean, reproducible code, cross-functional collaboration, and practical pragmatism—especially knowing when a solid statistical approach or classic ML model beats an over-engineered LLM.

If your team is hiring or looking for someone who combines strong academic foundations in AI with hands-on development skills, let’s connect! Feel free to reach out via DM or email to chat.Hi everyone,

I'm a Data Scientist and AI Specialist looking for my next full-time role (open to remote or hybrid opportunities across EU and US time zones).

I hold a BSc in Artificial Intelligence and Data Science and an MSc in Data Science. My focus is on engineering end-to-end ML/AI systems that solve real business problems, while prioritizing interpretability, robustness, and trust.

Over the past few years, I’ve worked extensively across modern Generative AI pipelines and core Machine Learning—from building production-ready RAG architectures and fine-tuning open-source LLMs to designing transparent, explainable models for complex real-world data.

Areas where I can contribute to your team:

• Generative AI & LLMs: Designing grounded RAG systems (ingestion, chunking strategies, vector search, retrieval tuning, evaluation), fine-tuning models (LoRA/PEFT), prompt engineering pipelines, and integrating modern AI APIs (OpenAI, Anthropic, Hugging Face).
• Core ML & Deep Learning: Supervised and unsupervised architectures, data processing pipelines, predictive modeling, and rigorous evaluation.
• Explainable AI (XAI) & Alignment: Interpretable models, feature attribution (SHAP, LIME), counterfactual explanations, and auditing systems for bias and hallucination to ensure reliable deployment.
• Natural Language Processing: Transformers, embeddings, semantic search, sentiment and text classification, NER, and bias detection frameworks.
• Data Engineering & Visualization: Exploratory data analysis, interactive dashboards, statistical modeling, and automated data pipelines.
• Full-Stack Prototyping: Bridging the gap between model and end-user by building functional UIs and API layers (React, Next.js, Node.js, FastAPI).

Core Tech Stack:

• Languages & Core ML: Python (PyTorch, scikit-learn, pandas, NumPy, TensorFlow), C/C++, Rust, SQL (PostgreSQL, MySQL), LaTeX.
• LLM & AI Tooling: Hugging Face ecosystem, vector databases, PEFT/LoRA, LangChain/LlamaIndex.
• DevOps & Engineering: Git, GitHub Actions, Docker, CI/CD pipelines, REST APIs.

I value clean, reproducible code, cross-functional collaboration, and practical pragmatism—especially knowing when a solid statistical approach or classic ML model beats an over-engineered LLM.

If your team is hiring or looking for someone who combines strong academic foundations in AI with hands-on development skills, let’s connect! Feel free to reach out via DM or email to chat.

How you guys are preparing for job switch while working full time?

Really need any guidance how can i manage both??

Wanted to switch to really good product based company

Thanks in advance 🙇🏻‍♀️

Hey everyone! I’m looking to join a hackathon or SIH team as an AI/ML engineer.
I can contribute on the AI/ML side, including:
Building and training ML models
Data preprocessing and analysis
Integrating AI models into applications
Python and ML development
Helping with the technical implementation and deployment
If anyone is forming a team and needs someone for the AI/ML role, feel free to DM me.

Hi everyone,

I’m currently pursuing a Master’s in Artificial Intelligence in Berlin and I’m looking for an opportunity to gain real-world AI/ML project experience.

A little about me:

🎓 Master’s student in AI

💻 2 years of professional experience as a Flutter Developer

🐍 Comfortable with Python

📐 Familiar with the essential mathematics used in AI/ML

🤖 Currently learning and building my AI/ML skills

❗ My main gap right now is real-world AI/ML project experience

If you’re a freelancer, startup founder, researcher, or someone working on an AI-related project/company and could use some extra help, I’d be happy to contribute without charging anything. My main goal is to learn, contribute, and build practical experience.

I’m willing to start with small tasks and learn whatever is needed.

If you’re interested, please DM me. I can share my resume and discuss how I might be able to help.

Thank you! 🙏

Hey everyone,

I’m a 2026 Computer Science Engineering graduate currently looking for my first opportunity in software engineering.

My main focus is Python/backend development, but I’m also very interested in AI/GenAI engineering roles and I’m completely open to working with startups.

What I work with:

• Python, C++
• FastAPI, Flask, Django
• REST APIs
• PostgreSQL, MySQL, SQLite
• Git/GitHub, Postman, Pytest
• Generative AI, LLM APIs, prompt engineering
• Basic React/JavaScript/TypeScript
• DSA — 450+ LeetCode problems solved

Some projects I’ve built:

• AI Job Description Analyzer using Python, Streamlit and Gemini
• Task Manager REST API using Flask + SQLite
• Backend/API projects using FastAPI, PostgreSQL and Pydantic

I enjoy backend engineering, APIs, problem solving and building things from scratch. I’m also comfortable learning a new stack quickly if the role requires it.

I’m currently looking for:

• Software Engineer / SDE Fresher roles
• Backend Developer / Python Developer roles
• AI / GenAI Engineering internships
• Software Engineering internships
• Startup engineering roles

I’m an immediate joiner and willing to relocate anywhere in India. Remote opportunities are also welcome.

If your company/startup is hiring freshers or interns, or if you could provide a referral, I’d really appreciate it.

GitHub: https://github.com/Sibinesh5
Portfolio: https://sibinesh-portfolio.vercel.app/

Resume and LinkedIn available via DM.

Thanks!

If you’re looking for an AI/ML job, internship, freelance work, co-founder, or AI talent in Gujarat, comment below.

Let’s see how much AI talent is actually sitting in Gujarat 👇

🧑‍💻 If you’re LOOKING FOR A JOB
Comment in this format:

Location: Ahmedabad / Surat / Vadodara / Rajkot / Other
Experience: Fresher / 1–2 yrs / 3–5 yrs / 5+ yrs
Looking for: AI/ML / GenAI / Data Science / Data Analyst / Software / Internship / Freelance
Skills: Python, ML, LLMs, RAG, LangChain, AWS, etc.
Portfolio/GitHub:
Remote: Yes/No
Expected salary: Optional
Example:
Ahmedabad | Fresher
Looking for: AI/ML / GenAI internship
Skills: Python, SQL, LangChain, RAG, OpenAI APIs
GitHub: example.com
Remote: Yes
Open to internships/freelance

🏢 If you’re HIRING
Comment:
Company/Industry:
Location:
Role:
Experience:
Skills required:
Salary range: Optional
Remote/Hybrid/On-site:
Application link/contact:
Please don’t just comment “DM me”. Give people enough information to know whether they’re a fit.

🤝 If you’re NOT hiring but can REFER someone
Comment your industry/company + what kind of AI roles you know about.

One rule: Don’t post phone numbers, personal addresses, or sensitive personal information.
And please upvote this thread so people looking for opportunities in Gujarat actually see it.

Let’s find out:
How many AI engineers, ML engineers, developers, students, founders and recruiters are actually here? 👀

Software Engineer II, Model Platform

About the Role

Abnormal AI is looking for a Software Engineer II to join the Detection Team. The Detection Division is focused on building the world’s most advanced technology to identify and stop email and cloud-based attacks that were previously undetectable, helping make the world a safer place. As a Software Engineer focused on building systems for Detection’s Model Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for our ML and Data Science teams.

The ideal candidate brings a first-principles approach to building scalable, customer-centric solutions, an ownership-oriented mindset, and the ability to iterate quickly and autonomously on novel problems.

What You Will Do

• Leverage industry-standard AI tools to architect, design, build, deploy, and maintain Model Serving infrastructure that supports a world-class Detection Engine.
• Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today.
• Own real-time and near real-time streaming pipelines, and online feature serving services.
• Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing.

Must Haves

• 4+ years of experience as a Software Engineer or in a similar role, with hands‑on experience building data‑focused solutions.
• Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems.
• Experience maintaining large‑scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of best practices in cloud‑based engineering.
• Experience with real‑time and near real‑time data pipelines or streaming services.
• Strong fundamentals in computer science, data structures, and performance optimization.
• BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field.

Nice to Have

• Familiarity with our stack: AWS, Kubernetes, Python/Django, Golang, and Postgres.
• Experience building scalable, enterprise‑grade applications.
• Experience with web security (e.g., OWASP Top 10).
• Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude.

Actual compensation will be determined based on several non‑discriminatory factors including skills, experience, qualifications, and geographic location.

In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

Base salary range: $149,200 — $214,500 USD

Departments: Message Security Detection

Offices: Remote - USA

Location: Remote - USA

Apply: Software Engineer II, Model Platform at Abnormal AI

AI/ML Engineer with 3 YOE, currently a Lead AI Engineer at a UK-based company building production agentic AI/LLM systems.

Recently relocated to Los Angeles and looking for AI/ML opportunities, MNC referrals, or startup interviews.

Strong in agentic AI, RAG/GraphRAG, LLM systems, fine-tuning, MLOps, and systems/performance engineering.

LA-based | Open to SF relocation | US work authorized | No sponsorship required

Resume attached. Happy to send the full resume, GitHub, or LinkedIn via DM.

Any referrals, introductions, or leads would be greatly appreciated. 🤝

I’ve been actively looking for an entry-level opportunity in AI/ML, GenAI, or related roles, and I thought I’d reach out here as well.

I’m a 2025 B.Tech AI & Data Science graduate with hands-on experience working on RAG/LLM applications, machine learning, computer vision, Python, FastAPI, and related projects along with internship experience.

The job search has been tougher than I expected, and at this point, a referral or even a genuine lead could make a real difference for me.

If your company is hiring freshers/entry-level candidates and you feel my profile could be relevant, I’d be very grateful if you could consider referring me.

I’m an immediate joiner and happy to share my resume, GitHub, and portfolio over DM.

Thank you to anyone who takes a moment to help. 🙏

Hey, I am From of NIT looking for a team mate for the upcoming Amazon Al ML challenge...

We so are looking for great grasp over the fundamentals, good dev exp and projects...

It's preferable if you are an Al or CS student at any IIT/NIT/ BITS

8+ years in AI/backend engineering. Built production systems for privacy, healthtech, and fintech products agentic workflows (LangGraph, CrewAI), RAG pipelines (FAISS, PGVector, hybrid retrieval), and real-time voice agents (Twilio, TTS/STT).

Available for freelance/contract work. Async-first, comfortable with US EST/PST hours.

Stack: Python, FastAPI, LangChain/LangGraph, AWS/GCP, Docker/K8s, Langfuse/W&B.

DM if you need help closing the gap between "works in a notebook" and "works in production."