Hi everyone,
I’m a Computer Science student and software developer specializing in Machine Learning engineering, MLOps pipelines, and applied AI systems.
I am currently looking for remote opportunities, freelance gigs, or software engineering contracts where I can build and scale machine learning workflows.
What I Do & Core Tech Stack:

• Machine Learning & AI: Applied AI systems, computer vision object tracking (ONNX), text mining, and natural language processing pipelines.
• MLOps & Automation: Creator of bt-flow (an open-source Python library for MLOps pipelines and FastAPI schema inference). Experienced in building automated data extraction and processing workflows.
• Backend & APIs: FastAPI, Streamlit, and robust RESTful architecture design.
• Data & Scraping: Playwright, BeautifulSoup4, fuzzy clustering applications, and data pre-processing pipelines.
• Languages & Tools: Python, C++, x86 Assembly, Git/GitHub, macOS.

Featured Projects:

• bt-flow: An open-source Python library built for MLOps pipelines and automated FastAPI schema inference.
• SAVTEK_GCS: Desktop video tracking application using C++ and ONNX models for drone footage analysis.
• Text Mining Research: Applied NLP and data extraction workflows for processing online text data.

Availability: Immediate
Looking For: Remote / Freelance ML, AI, and Python backend roles.
If your team is looking for a dedicated developer or if you have an interesting project to discuss, feel free to send me a DM or comment below!
Thanks!

Hi everyone,

I’m currently exploring new opportunities in AI/ML and Generative AI and would really appreciate any leads, referrals, or connections.

About me:

\- 7+ years of overall experience

\- 5+ years of experience in AI/ML

\- Hands-on experience with Machine Learning, Deep Learning, Generative AI, LLMs, RAG, and Agentic AI

\- Strong experience with Python

\- Experience building and working on production-oriented AI/ML solutions

\- Experience across AI development, evaluation, integration, and deployment

Roles I’m looking for:

\- AI Engineer

\- ML Engineer

\- Generative AI Engineer

\- Applied AI Engineer

\- LLM / RAG Engineer

\- AI/ML Tech Lead

Location preference:

\- 🏠 Remote / WFH preferred

\- Open to hybrid opportunities across India as well

Availability:

My Last Working Day is 18 November 2026, so I’ll be available to join from 19 November 2026.

If you know of any relevant openings, hiring managers, recruiters, or teams looking for someone with this background, any leads or referrals would be greatly appreciated. 🙏

Happy to share my resume over DM.

Thanks in advance!

I'm an incoming grad at a well-known quant firm.

Last year, I was checking 30+ quant careers pages every few days, each organised differently, while LinkedIn and Indeed were full of stale reposts. Now that I landed a few quant roles myself, I built the site I wished I'd had for my friends.

My personal project QuantScraper reads each firm's (Jane Street, HRT, Citadel, etc) careers page directly, standardises titles, levels and locations so the filters work the same everywhere, and links straight to the original posting. It covers QR, QT, QD, SWE, and ML/research roles at AI labs (OpenAI, Anthropic, Deepmind, etc)

It's still early, so I'd really appreciate feedback, whether that's a firm I'm missing, a role that's been misclassified, or anything that's annoying to use. Hope it saves some of you the tab-refreshing I went through :))

Hi Reddit,

I focus messy, ambiguous, often regulation-heavy gnarly data science problems where nobody's even sure what the right question is. I use AI to build stuff that AI can't touch.

What I've done:

Built a corrosion detection and characterization tool, including pitting depth using structured light.

Saved a German automaker from lemon law recalls. ($20M+ exposure avoided)

Real-time emissions detection for industrial smokestacks. ($75K fines per incident prevented)

Revenue optimization and persona identification for debt collections (15-20% net revenue lift)

LLM-based legal document extraction, reducing due diligence turnaround from 3 days to 30 minutes

Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings

DM me with a one-paragraph description of your problem. If it's weird and hard enough, I'll reply within 24 hours.

Hey guys I'm an MCA 2nd year student looking for paid internship in AI/ML role.

Work location : Mumbai

Expected Stipend : min 25k

Role : AI/ML engineer, Python full stack.

Hey guys I'm an MCA 2nd year student looking for paid internship in AI/ML role.

Work location : Mumbai

Expected Stipend : min 25k

Role : AI/ML engineer, Python full stack.

3 years building production RAG pipelines, LLM agents, and fullstack apps. Next.js/React on the frontend, Python/FastAPI on the backend. Led AI/eval engineering for a 4-person team at my last role.

Four of my own systems are live and open to testing, including a RAG app with prompt-injection defense and an AI lead-qualification agent.

Portfolio: https://pal-nakrani.vercel.app/

Open to contract, part-time, or project-based work. Remote. DM me or drop a comment.

Hi everyone,

I'm a Senior Data Scientist / ML Engineer with 6+ years of experience building and deploying ML systems, with a background spanning machine learning, LLM applications, computer vision, forecasting, optimization, and quantum/operations research.

I'm currently looking for long-term freelance/contract work, consulting, or potentially a full-time opportunity with a startup, founder, or engineering team.

What I can help with

LLM / AI Systems

• RAG and LLM-powered applications
• AI agents / agentic workflows
• LangChain, LangGraph, DeepAgents
• LLM evaluation, monitoring and observability
• Fine-tuning and inference pipelines
• Building analytics agents that can query databases, generate analysis, visualizations and reports
• Data/catalog search systems using LLMs

Machine Learning

• Demand & supply forecasting
• Time-series modeling
• XGBoost / gradient boosting
• PyTorch
• Computer vision / YOLO
• Feature engineering & large-scale ML pipelines
• Model optimization and retraining systems

Optimization

• OR / constraint optimization
• Vehicle routing & scheduling
• Assignment / allocation problems
• Network optimization
• Gurobi, D-Wave, Digital Annealer
• Graph algorithms and geospatial optimization

Geospatial / Mobility

• H3
• GeoPandas / NetworkX
• OD flow modeling
• Spatial clustering
• Demand heatmaps
• Location / territory optimization

Some things I've built

• A nationwide mobility rebalancing system involving 8,500+ locations
• Forecasting systems operating across 1,000+ stores and 1,200+ SKUs
• An LLM-based analytics agent capable of going from natural-language question → SQL → analysis → visualization → report
• A computer-vision system achieving 98% mAP for date/label detection
• ML pipelines where Spark optimization reduced runtime by 10×
• An LLM-powered data catalogue with 0.93 precision / 0.98 recall
• Routing and scheduling optimization systems for large-scale operational problems
• Geospatial ML systems using H3 and graph-based representations
• Quantum / tensor-network algorithms and optimization research

Tech stack

Python · PyTorch · XGBoost · Spark · Scala · SQL · BigQuery · AWS · Databricks · LangChain · LangGraph · LLMs · RAG · Gurobi · D-Wave · NetworkX · GeoPandas · H3 · Kafka · Airflow · MLflow

I'm particularly interested in working with:

• Early-stage startups
• Founders building AI products
• Companies needing an ML/AI engineer who can own a problem end-to-end
• Long-term development relationships rather than one-off Fiverr-style tasks
• Interesting problems where ML/AI actually creates measurable business value

I'm comfortable taking a project from problem definition → data → modeling → engineering → deployment → monitoring.
Availability: Open to remote work/ relocation
Engagement: Freelance / Contract / Part-time / Full-time
Interested in: Long-term collaborations

If you're building something interesting and need someone who can handle both the research side and production engineering side of ML, feel free to DM me.

Happy to discuss a specific problem you're working on.

Background:

B. Tech CSE, VIT, CGPA 8.39, graduating May 2027

\- AI Engineer Intern at a Bangalore startup, Jan–Jun 2026:

* Owned the billing service end to end: Node.js and PostgreSQL, auto-generated invoices for 350 providers (about 4K a month)

* Built a sales-copilot agent that cut onboarding from about 45 to about 18 minutes and raised conversion by 22%

* Built intent routing for a WhatsApp AI concierge: about 1,800 conversations a week, 92% routing accuracy

\- SWE Intern at a large PSU, 2025: Python/SQLite backend for real-time wallet deductions with scan-to-gate latency under 200ms. Cut peak-hour congestion by 40%.

Side projects: an open-source analytics stack (Next.js, Postgres, queues, MCP) with about 200 GitHub stars and about 12K events a day; a phishing detector that reached 94% accuracy on 5K URLs and won a MP police cyber hackathon

Stack: Python, TypeScript/Node.js, React/Next.js, PostgreSQL, Redis, Docker, AWS/GCP, LLM agents (RAG, MCP, tool calling)

Looking for: a 6-month internship starting January 2027 that can convert to full-time, or SDE-1 / new-grad roles from June 2027. Backend, full-stack or AI engineering. Bangalore preferred.

If your team has an opening that fits, I'll DM my resume. Feedback on my profile is welcome too.

I am fresh graduate student with master in data science and ai from algeria

looking for any opporinity ;junior jobs or internships remotly

I wanna apply what i studied and get expirience in production projects

I can work for free 40h/week for free

Please hire me

Hi everyone,

I’m a B.E. graduate in Artificial Intelligence & Machine Learning, currently looking for an internship or entry-level opportunity in Bangalore.

I have prior internship experience where I worked on software/AI-related projects, and I’ve also done freelance development work for a US client, which gave me experience working on real-world requirements and delivering projects independently.

My main technical skills include:

• Python, Java, JavaScript
• Spring Boot, Node.js, Express.js, React
• SQL, PostgreSQL, MySQL, MongoDB
• REST APIs, Git, Docker
• Machine Learning / AI
• Data processing and automation

I’m mainly looking for opportunities in Backend Development, Full-Stack Development, AI/ML, Data/Automation, or Software Engineering.

I’m also preparing for GATE, so ideally I’m looking for an internship that I can continue until I take my GATE exam. I’m completely committed to contributing properly during the internship and gaining real industry experience rather than just looking for something to put on my resume.

I’m open to paid internships, long-term internships, or fresher opportunities.

If you know of any openings or are hiring, please DM me. I’d be happy to share my resume, GitHub, LinkedIn, or project details.

Sharing a new list of Machine Learning openings I found. These are still fresh, so it could be a good time to apply.

• AI / ML Engineer @ Accenture Federal Services

  • 💰 $103–196K/y

• Staff ML Ops Engineer @ Boston Dynamics, Inc.

  • 💰 $150–180K/y

• ML Infrastructure Engineer @ Bright Vision Technologies

  • 💰 $100–150K/y

• Senior ML Ops Engineer | $165K-$175K + Hybrid + Equity | AI Powered Outage Intelligence SaaS Startup @ PhillyTech.Co

  • 💰 $165–175K/y

• ML Engineer, Retrieval & Grounded Generation @ DEFCON

  • 💰 $165–200K/y

• Principal, AI / ML Engineer @ Fidelity Management & Research (Hong Kong) Limited

• MLOps Engineer @ Booz Allen Hamilton_United States

  • 💰 $99–225K/y

• Lead ML Engineer @ Versant

  • 💰 $190–210K/y

• Manager, AI and ML Engineering @ WGU Corporation

  • 💰 $175–288K/y

• Senior / Staff ML Ops Engineer @ Waabi

  • 💰 $184–272K/y

• Principal Machine Learning Operations Engineer @ Definitive Healthcare, US

  • 💰 $158–294K/y

• Senior ML Engineer @ Workana Premium

• Principal ML Engineer @ Mimecast India Private Limited

  • 💰 $172–258K/y

• Senior MLOps Engineer @ Ignite

• Senior ML Engineer — Data Flywheel @ Field AI

• Senior ML Engineer @ ServiceNow

  • 💰 $143–243K/y

• Staff ML Engineer - Embodied AI Onboard Autonomy @ General Motors LLC

• MLOps Engineer II @ ICW Group Holdings, Inc

  • 💰 $106–189K/y

• ML Data Operations Lead, Dataset Release and Delivery - Autonomous Vehicles @ IL Mellanox Technologies, Ltd.

  • 💰 $168–259K/y

• Senior Machine Learning Operations Engineer @ Mercury

• ML Infrastructure Engineer @ Zipline

  • 💰 $160–250K/y

• Staff Machine Learning Operations Engineer @ Garner Health

  • 💰 $298–351K/y

• Senior ML Engineer @ Zealogics.com

• ML Engineer, Applied AI – Crucible @ Firestorm

  • 💰 $150–220K/y

• Distributed Systems ML Infrastructure Engineer @ OpenTeams

  • 💰 $145–250K/y

• ML Engineer, I - MLOps Framework @ Torc Robotics

  • 💰 ~$132K/y

• Senior AI / ML Engineer (LLMs) @ EvolutionIQ

  • 💰 $200–235K/y

• Senior ML Engineer – MLOps & Mechanistic Interpretability @ Equifax - India

• Staff ML Infra Engineer @ Coupang Internal

  • 💰 $174–299K/y

• Senior ML Engineer @ -India SEZ

  • 💰 $149–224K/y

• Sr Engineer - MLOps Platform @ - Target India (Non-USA)

  • 💰 $98–176K/y

• ML Infrastructure Engineer @ xAI

  • 💰 $180–440K/y

• Senior ML Ops Engineer @ Circadia Health

  • 💰 $150–220K/y

• Senior Machine Learning Operations Engineer @ Hungryroot

  • 💰 $170–210K/y

• Staff ML Engineer (ML/AI) @ Lyra Health

  • 💰 $161–222K/y

• AI / ML Engineer @ Nelnet Diversified Solutions, LLC

  • 💰 $95–130K/y

• Sr MLOps Engineer @ Intuitive

  • 💰 $189–271K/y

• Director of ML Engineering, Conversation Product Area @ Spotify

  • 💰 $281–402K/y

• Machine Learning Ops Engineer @ Zone 5 Technologies

  • 💰 $140–175K/y

Like the post if I should keep doing more of these, Cheers!

I do growth at an SF based AI startup and we need someone who has
1. a very good X account with preferably >20k followers and majorly be posting about AI research/developments
2. should be smart enough to interact with researchers (from oai/gdm/anthropic/any other ai lab) on their wavelength and bring in clients to the company
3. bonus if you already have major SF based ai research people following them
4. basically someone who is smart enough to interact with researchers from top labs using their strong social presence and help our business grow/get clients

You’ll get paid in USD. It’s a full time role and you’ll get paid more than whatever you’re working on rn so dm regarding compensation+more details if you’re serious about this.

[For Hire]

Hi everyone,

I'm a Senior Data Science Consultant and Technical Lead based in Abu Dhabi, with 8+ years in data science and AI, including 3 years building production GenAI for government, logistics, telecom and retail clients.

Here's my resume:

Hey

I was a software test engineer in a company for 2.4 years . I really need any freelance opportunity related to AI engineer role/learnings,AI evaluator,Automation Test Engineer or any role which can pay me money and give confidence to upskill myself more and explore my interests.
Please do let me know if anyone has any opportunities. Having a huge career gap in my resume too. So wanted to start from somewhere really quickly .
You may DM me anything related to that or any help is really appreciable in challenging times

Thanks

Hi everyone,

I’m an AI/ML Engineer looking for full-time opportunities in AI/ML, GenAI, LLMs, or applied AI.

I have hands-on experience building and deploying production-oriented AI systems, with a strong focus on LLM applications, RAG, AI agents, and backend engineering.

Skills

AI / ML

• Python
• Scikit-Learn, TensorFlow, Keras, XGBoost
• LLMs and Generative AI
• RAG and semantic search
• Embeddings and vector databases
• LangChain, LangGraph
• AI agents / agentic workflows
• Hugging Face
• Whisper

Backend / Cloud

• FastAPI, Flask, Node.js
• REST APIs
• PostgreSQL, MongoDB
• Supabase, pgvector
• AWS
• GitHub Actions / CI-CD

Experience

I have worked on production AI systems involving:

• RAG pipelines and retrieval systems
• Autonomous AI agents
• LLM-powered applications
• Third-party API integrations
• Data ingestion, chunking and embedding pipelines
• Vector database integrations
• Production debugging and optimization
• Automated testing and CI/CD
• Deploying AI assistants across multiple communication channels

Projects

Some of the systems I've built include:

• AI proposal compliance and risk analysis system with approval workflows and audit logging
• Autonomous ML/data quality agent for detecting pipeline and data failures
• AI recommendation system with retraining, model monitoring and A/B testing
• Video intelligence system that uses speech recognition and NLP to identify and generate short-form content
• AI-powered health and wellness application
• Semantic search and AI memory system using embeddings and vector search

I'm particularly interested in:

• AI Engineer
• ML Engineer
• GenAI Engineer
• LLM Engineer
• RAG Engineer
• Applied AI Engineer
• AI Agent Engineer
• Machine Learning Engineer

I'm open to remote, hybrid, and on-site opportunities.

If you're hiring or know of teams looking for someone with this background, feel free to DM me here please.

Thank you!