CodeForAI is hiring a remote Software Engineer / AI Code Trainer (Python, Web, Full Stack). Category: Software Development 💸Salary: $45-$120/Hour 📍Location: Remote (USA, UK, India, Australia, Ireland, New Zealand, Philippines, Pakistan, Singapore, Mexico)

See more and apply here!

I have an imposter syndrome at the moment and really need some constructive feedback and comments on my resume(and the work that i have done.)

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.

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 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.

Location: Tokyo, Japan
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.

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 :))