Freelance python jobs for world-class Developers

Verify the counters. Confirm they measure what your algorithms expect, at the right frequency and scope—GPU, process, or request—with reliable timestamps.
Trace the existing execution path. Establish whether algorithm outputs already trigger real runtime changes, and identify any missing connections.
Validate the controls. Confirm which adjustments are supported, whether they can happen live, and whether the runtime actually applies them.
Complete and stabilize the feedback loop. Where needed, implement the integration, effective-state verification, adjustment limits, and rollback.
Measure the algorithms’ contribution. Compare controller-on versus controller-off against the same tuned baseline under equivalent workloads, accounting for control overhead.
The first deliverable should be an execution trace:
Counter reading → algorithm decision → requested adjustment → confirmed runtime change → measured result.
If that chain already works, his assignment becomes performance validation and improvement. If it breaks, you will need to fix the specific gap.

Have you modified vLLM or SGLang internals? Show us the code or explain the specific subsystem.”
“Describe a GPU system where live measurements automatically changed runtime behavior. What was controlled, and how did you prevent instability?”
“For DeepSeek on H100/H200, which controls could you change during execution, and which would require draining requests or restarting workers?”
“How would you isolate the benefit of our mathematical controller from native scheduling, caching, CUDA graphs, and ordinary tuning?

I’m building a reliable technical delivery team for ongoing client projects and looking for experienced full-stack/web developers who are interested in long-term collaboration.

Projects may include business websites, web applications, dashboards, APIs, e-commerce platforms, SaaS products, integrations, and custom software.

I’m looking for developers who:

* Have strong full-stack development experience
* Can work independently from clear requirements
* Communicate clearly and consistently
* Can provide realistic estimates and meet agreed milestones
* Are comfortable with Git and professional development workflows
* Take ownership of their deliverables and flag issues early
* Can work professionally with project management, QA, revisions, and client requirements

Please include:

1. Your main tech stack
2. 2 to 3 relevant projects you personally worked on
3. Your hourly rate
4. Your current availability
5. Your typical weekly capacity
6. Your location/time zone
7. Whether you are interested in recurring project work

I’m particularly interested in developers I can build a strong working relationship with and bring into multiple projects over time.

The first step will be a short discussion about your experience, communication style, availability, and technical strengths. Selected developers may be given a small paid test or trial project before being considered for ongoing work.

We need a developer to build and improve AI systems for a construction firm, including chatbots and automation workflows. The role includes designing conversational experiences, integrating tools, and supporting ongoing improvements. You should be comfortable working with existing systems, troubleshooting issues, and helping create practical solutions for day-to-day operations. Experience with construction or related industries is a plus.

I’m looking for a cybersecurity professional to analyze a provided set of security/system logs and identify potentially suspicious activity.

The task should include identifying unusual login attempts, possible brute-force activity, suspicious IP addresses, abnormal events, and other indicators that may require investigation.

I would like a straightforward report summarizing the findings, potential risks, and recommended next steps

We’re looking for an n8n automation developer to build a lead-management system that connects incoming enquiries, AI-powered lead qualification, and GoHighLevel (GHL) CRM.
The goal is straightforward: capture each enquiry, organize the information, update the CRM, and trigger the appropriate follow-up without repeated manual work.
This project focuses on a working business process—not a chatbot demo. We need clear workflow logic, reliable integrations, error handling, and documentation.
⚙️ What you’ll build
1. Lead capture and data validation
Build an n8n workflow that receives leads from one website form or webhook. Validate required fields, standardize contact information, and check for existing records before creating new contacts.
2. AI-powered lead qualification
Integrate an AI model to extract the requested service, summarize the enquiry, and classify leads using agreed qualification criteria. Missing information should be flagged rather than invented, with unclear enquiries routed for manual review.
3. GoHighLevel CRM integration
Connect n8n with GoHighLevel to create or update contacts, populate custom fields, apply relevant tags, and create or update opportunities in the appropriate pipeline stage. Store the enquiry summary and qualification result where the sales team can review them.
4. Follow-up and appointment workflows
Configure an acknowledgement and follow-up sequence using approved messaging and a booking link. Coordinate n8n and GHL workflows so follow-ups stop when a lead replies, books, opts out, or is manually paused.
5. Monitoring and failure handling
Add execution logs, controlled retries, and alerts for failed integrations. Repeated webhook events or workflow retries must not create duplicate contacts, opportunities, or messages.
📦 Expected deliverables
- A working n8n automation connected to one lead source, one GoHighLevel account, and one email-sending service.
- Configured CRM field mappings, pipeline rules, and AI qualification instructions.
- Tested follow-up logic, duplicate prevention, and error notifications.
- An export of the n8n workflows without embedded secrets, setup documentation, and a recorded handover.
✅ What successful delivery looks like
A test enquiry moves from submission to qualification, CRM update, and the correct follow-up without manual copying.
Testing should also cover duplicate submissions, missing fields, unavailable integrations, AI processing failures, and follow-up stop conditions. The team should be able to identify failed runs and understand how to resolve common issues.
🛠️ Relevant experience
You should be comfortable with n8n workflow development, GoHighLevel automation, CRM integration, REST APIs, webhooks, JSON data mapping, and AI integration.
Please include one relevant automation example, explain your contribution, and briefly describe how you would prevent duplicate records and handle failed executions.
Initial scope: One lead source, one GHL pipeline, one qualification flow, and one follow-up sequence. Additional channels or workflows can be scoped separately.

We are looking for an experienced Python / web scraping developer to take over an existing real estate scraping pipeline and fix the remaining production issues.

This is not a project from scratch. The existing system already includes:

Python scraper
PostgreSQL database
FastAPI
Docker setup
Redis / worker processes
Playwright support
Proxy integration
Admin dashboard / monitoring
Data normalization and API endpoints
Existing source code and documentation

The current source is Pincali.com, a Mexico real estate website.

Main Goal

The scraper works, but it is not processing the remaining backlog reliably because of anti-bot / CAPTCHA responses and retry/requeue issues.

We need someone to review the existing codebase, identify the remaining problem, and stabilize the production scraping flow.

Main Items to Fix / Verify
Review the current proxy integration and scraper behavior
Improve handling of Pincali anti-bot / CAPTCHA responses
Verify the retry and requeue flow for failed URLs
Ensure failed URLs are actually reprocessed instead of remaining permanently stuck
Review Redis queues and worker behavior
Verify Playwright/browser fallback is working correctly
Ensure invalid/error pages are rejected and never stored as valid listings
Confirm proxy rotation, cooldown, retry, and failover logic
Improve scraping reliability and successful processing rate
Confirm that new and existing listings are being processed and updated correctly
Review dashboard / scraper-run metrics so successful and failed activity is clear
Provide updated source code and documentation for any changes made

At the last production review, the system had a large number of failed URLs waiting to be reprocessed, while Pincali was intermittently returning CAPTCHA / anti-bot responses.

The goal of this job is to get the existing system into a state where the backlog can be processed reliably and we can clearly verify successful production scraping.

Deliverable

We would consider the project complete when:

failed URLs can be successfully requeued and processed
the scraper is actively processing listings in production
proxy usage is working reliably
anti-bot / invalid pages are handled correctly
successful scrape activity can be verified through logs / dashboard
updated source code and documentation are delivered
Existing Stack
Python
FastAPI
PostgreSQL
Redis
Playwright
Docker
Rotating proxies

Experience taking over and debugging another developer's scraping code is important.

Potential Future Phase

If this project goes well, there is potential for additional work on the same system.

Our next planned phase is an AI-powered real estate assistant that would use this property database for:

natural-language property searches
property recommendations
conversational real estate search
standalone AI assistant interface
embeddable chatbot/widget for our websites
lead capture and user search tracking
future agent recommendations / routing

Strong AI / LLM experience is a plus, but the priority for this job is solving the current scraper and data pipeline issues.

When Applying

Please briefly explain:

your experience with Python scraping pipelines
your experience with Playwright and anti-bot / proxy systems
whether you have taken over and fixed existing scraper code before
how you would approach diagnosing the current retry / CAPTCHA problem
whether you would be comfortable working within the existing codebase rather than rebuilding it

We are looking for a U.S.-based Full-Stack Developer to join our development company in a part-time, long-term collaboration.

The primary purpose of this role is to help ensure clear and reliable communication between our company and our clients. You will serve as a technically knowledgeable point of contact who can understand client needs, participate in technical discussions, clarify requirements, and help keep projects moving smoothly.

This opportunity is ideal for an experienced developer who enjoys both software development and working directly with customers.

U.S.-BASED DEVELOPERS ONLY. Please do not submit a proposal if you are located outside the United States.

Responsibilities

- Communicate directly with clients through Upwork, Slack, email, and video calls.
- Understand client goals, business needs, and technical requirements.
- Clarify incomplete or ambiguous requests.
- Translate client feedback into clear technical tasks for our development team.
- Explain technical decisions, project limitations, timelines, and development issues in understandable language.
- Coordinate client feedback, revisions, bug reports, and feature requests.
- Follow up with clients and developers to ensure that projects remain organized and on schedule.
- Help prevent misunderstandings between clients and our development team.
- Participate in client meetings when necessary.
- Use your technical judgment to identify risks and recommend practical solutions.
- Maintain professional, reliable, and long-term relationships with clients.

Required Qualifications

- Currently based in the United States.
- Strong experience as a Full-Stack Developer.
- Solid understanding of web applications, APIs, databases, and cloud services.
- Experience with technologies such as Python, React, Node.js, TypeScript, PostgreSQL, AWS, or similar tools.
- Strong written and spoken English.
- Comfortable communicating directly with clients and leading technical discussions.
- Able to explain technical concepts to non-technical customers.
- Organized, proactive, dependable, and able to work independently.
- Strong problem-solving and project coordination skills.

Experience with SaaS platforms, API integrations, AI/LLM applications, automation, or cloud-based systems is a plus.

Why Join Us?

This is more than a short-term freelance assignment. We are looking for someone interested in building a long-term professional relationship with our company.

The position is part-time and offers flexibility, but it also provides meaningful earning potential for the right person. As trust, responsibility, and client relationships grow, there may be opportunities for increased involvement and compensation.

We value:

- Technical expertise
- Professional communication
- Independent judgment
- Reliability and ownership
- Long-term commitment
- The ability to build strong client relationships

You do not need to work full-time to make a substantial contribution. We are interested in the value, professionalism, and consistency you bring—not simply the number of hours you work.

To Apply

Please answer the following questions:

1. Are you currently based in the United States?
2. Briefly describe your Full-Stack development background and main technologies.
3. Tell us about a project where you communicated directly with clients.
4. How would you handle an unclear technical request from a client?
5. How would you explain a development delay or technical limitation to a client?
Please do not submit a proposal if you are not currently based in the United States.

We are looking for a dependable Full-Stack Developer who wants to combine technical expertise, client communication, and long-term professional growth.

Therefore, please read the job description carefully once again before submitting your proposal.

This is because there are many cases where developers submit proposals without even reading them.

We run a small cryptocurrency trading tool and most of our operations still live in Microsoft Excel: trade logs, lead lists, support tickets, all pulled together by hand. Before we hire anyone to build real automation we want a short paid consultation with someone who actually understands agentic AI and can tell us what's realistic to automate first.

The most urgent question is around anomaly detection: can machine learning or a proper neural network catch suspicious trading patterns before a human notices, and how much artificial intelligence work that actually takes versus simpler statistical rules. Python and TensorFlow are our starting assumption, but tell us honestly whether PyTorch or Python Scikit-Learn is the better fit for a dataset our size. A basic artificial neural network might get us most of the way there, or this might genuinely need deep learning underneath, that's exactly what we're paying to find out.

We also do manual identity verification for new accounts, someone looks at an uploaded ID and a selfie and approves or rejects by eye. Whether image processing and computer vision can take a real bite out of that queue is worth an hour of someone's time before we commit to building it. Once the text is out, natural language processing might help classify it further, or that might be more than we actually need at this stage. What data extraction from those documents would realistically require is part of the same question. Right now that whole intake process is data entry dressed up as compliance.

Support tickets are another manual pile: we want to know if an AI bot or real chatbot development could handle the common questions before a person ever sees them, and how different that is from basic bot development scripted around FAQs. On the growth side, marketing automation is mostly aspirational right now. Email marketing runs through a tool nobody trusts the reporting on, and lead generation happens through spreadsheets someone updates by hand.

Whatever we build needs to sit on Amazon Web Services since that's where everything else already runs, and we're trying to figure out how much of this is real API integration work versus something Zapier could handle for now. Automation and AI automation get used interchangeably around here, and part of this call is sorting out which pieces are actually AI and which are just automation. We track a small blockchain project separately and would want any data science or data analysis work to account for that too. React and Node.js run the dashboard where all of this would eventually surface.

Hello,
We're looking for a Data Scientist and Machine Learning Engineers who has prior strong experience in DataAnnotation platform (https://www.dataannotation.tech).

Requirements:
- Strong knowledge and skills in Data Science and ML foundation
- Hands-on experience in passing technical assessment in DA
- Experience in remote work environment

Feel free to reach out me if you qualify this requirement. I can't wait for talking with you.

We are looking for an experienced Full-Stack Developer to build a complete business administration and management tool that will be integrated and deployed on our new WordPress website.
The tool/system will manage the company’s operations from client and project management and a complete employee management for 300+ employees.

Key Requirements
Build a complete business administration and management system
Client profile and information management
Client project management, including project status, tasks, timelines, and related information
Employee management for 300+ employees
Role-Based Access Control (RBAC) and different user permissions
Admin dashboards, reporting, and business management features
Secure database and API architecture
AI Assistant integration where applicable
Integrate/deploy the application with our existing WordPress website
Ensure the system is secure, scalable, responsive, and production-ready
Handle the complete deployment and configuration

Ideal Candidate
Strong Full-Stack development experience
Experience building business management, CRM, ERP, HRM, or similar platforms
Strong experience with React/Next.js, .NET/ASP.NET Core, Node.js, or Python
Experience with databases such as PostgreSQL or SQL Server
Experience implementing authentication, RBAC, and secure APIs
Experience integrating custom applications with WordPress
Experience with AI/LLM integration is a plus
Strong understanding of cloud deployment and production environments
Able to work independently with an existing business workflow and turn requirements into a reliable system

Ongoing Maintenance
This is not a one-time development project. We are looking for a developer who can also provide ongoing maintenance and support after launch, including bug fixes, security updates, performance improvements, troubleshooting, and future feature development.

We are ready to start with the right developer and are interested in a long-term working relationship.

I need specialist to help me customized appstream image with s3 mount bucket mounting. This is windows environment, mounting process uses user previledge to access objects on s3 bucket. You will be using your mounting tools of choice for windows.

AI Automation Specialist | BigChange API | Microsoft 365 | Workflow Automation
Project Overview

We are a UK-based Facilities Management company looking for an experienced automation specialist to help us reduce administration and streamline operational processes using AI and workflow automation.

We currently use:

BigChange
Microsoft 365
Outlook
Excel
SharePoint
Teams
Xero

We are seeking a freelancer who can design and implement intelligent workflows that interact directly with the BigChange API and automate repetitive business tasks.

Example Requirements
Read and classify incoming emails using AI
Extract information from customer emails and documents
Automatically create or update records in BigChange
Trigger workflows based on business rules
Generate notifications and approvals
Synchronise data between systems
Build dashboards and monitoring where required
Recommend and implement automation best practice
Desired Skills

Essential:

API Integration
Workflow Automation
Microsoft Power Automate
Microsoft 365
REST APIs
JSON
AI Tools and Agents

Desirable:

BigChange API Experience
Azure
Python
OpenAI / Copilot Integration
Xero Integration Experience
Deliverables

Phase 1:

Review current admin processes
Identify automation opportunities
Design workflow architecture
Build first automation workflows

Phase 2:

Expand automation across scheduling, reporting, invoicing and customer service processes
To Apply

Please provide:

A brief introduction
Examples of relevant automation projects
Experience with BigChange (if any)
Proposed approach
Estimated rates

This is likely to become an ongoing engagement for the right individual.

Work Arrangement: Remote ( Travel once a month if required for Wrocłow)
Job Type: Contract ( 18 months )
Location: Wrocław, Poland / or willing to relcoate to Wroclaw
Payment Method: Only Upwork

We are looking for an experienced Senior Test Automation Engineer to join our team in a hands-on role focused on both manual and automated testing. You will work closely with developers and the Lead Test Automation Engineer to ensure high-quality, reliable software releases.

What You’ll Do:

- Design and maintain end-to-end test automation frameworks using Playwright and TypeScript.
- Create automated tests for functional, regression, and integration scenarios.
- Establish and improve QA practices, processes, and standards.
- Collaborate with developers to investigate and resolve defects.
- Participate in Agile/Scrum ceremonies, story planning, and acceptance criteria.
- Track and report software quality metrics.
- Support usability and accessibility testing.
- Identify opportunities to improve test coverage and overall software quality.

What We’re Looking For:

- 4+ years of hands-on test automation experience.
- Strong proficiency in Playwright and TypeScript.
- Experience building automation frameworks from the ground up.
- Strong understanding of functional, regression, UAT, system integration, and exploratory testing.
- Experience with Git, DOM, and reliable locator strategies.
- Experience with defect and test management tools such as Jira and TestRail.
- Experience with AI coding agents or willingness to quickly adopt them.
- Experience working in Agile/Scrum environments.
- Good understanding of usability and accessibility testing.
- Strong English communication skills.

Nice to Have:

- Experience with CI/CD pipelines.
- Experience with Notion and developer documentation.
- Experience with modern AI-assisted development/testing tools.

DocPad is a cloud-based, FHIR-native hospital management system built by a solo surgeon-developer for small Indian private hospitals. It covers OPD workflows, IPD with a Clinical Command Centre dashboard, a nursing portal, a pharmacy module (800+ drugs), and an AI-powered prescription engine with brand-to-generic-to-SNOMED mapping and drug interaction checking in Hindi and English. It also includes an AI Discharge Summary Auto-Draft feature and a RAG-based patient summary pipeline.

its been already developed to a great extent . I want to make it production grade . we can connect and discuss over a google meet
I can share the app and its codebase . it's deployed on vercel

𝗔𝗜 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (𝗙𝗼𝘂𝗻𝗱𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿) w/m/d
𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: United States (Remote)
𝗖𝗼𝗺𝗽𝗲𝗻𝘀𝗮𝘁𝗶𝗼𝗻: $5K–$8K/month
We are looking for an 𝗔𝗜 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 to join as our 𝗳𝗶𝗿𝘀𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗵𝗶𝗿𝗲 and help build the next generation of AI-powered prediction market intelligence products.
Our company is building an AI-native platform that combines real-time data, market intelligence, and conversational AI to help users better understand prediction markets and make data-driven decisions.
As the first engineer, you will work closely with the founders and take full ownership of designing and building core systems — from data ingestion pipelines to AI orchestration and user-facing experiences.
𝗪𝗵𝗮𝘁 𝗬𝗼𝘂’𝗹𝗹 𝗗𝗼
- Build and own the core technology stack as the 𝗡𝗼.𝟭 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿
- Develop AI-powered chatbot and analysis workflows
- Integrate third-party APIs, news sources, and external data providers for real-time information ingestion
- Build AI agent orchestration systems and analytical pipelines
- Develop scalable backend services and frontend experiences using 𝗙𝗮𝘀𝘁𝗔𝗣𝗜 𝗮𝗻𝗱 𝗡𝗲𝘅𝘁.𝗷𝘀
- Drive technical decisions and ship products from concept to production
𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀
- 3+ years of software engineering experience
- Strong experience with Python, 𝗙𝗮𝘀𝘁𝗔𝗣𝗜, 𝗮𝗻𝗱 𝗡𝗲𝘅𝘁.𝗷𝘀
- Experience building AI applications, LLM workflows, agents, or data-driven products
- Comfortable working in an early-stage startup environment with high ownership and autonomy
- Ability to independently solve problems and take projects from idea to launch
𝗡𝗶𝗰𝗲 𝘁𝗼 𝗛𝗮𝘃𝗲
- Experience with prediction markets, finance, trading, or analytics platforms
- Experience with API integrations, data pipelines, or real-time systems
- Strong product mindset and interest in AI-native applications
𝗪𝗵𝘆 𝗝𝗼𝗶𝗻
- Become the 𝗳𝗶𝗿𝘀𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 shaping the technical foundation of an ambitious AI startup
- Own major parts of the product and engineering direction
- Work directly with founders and have significant impact from day one
- Build at the intersection of 𝗔𝗜, 𝗱𝗮𝘁𝗮, 𝗮𝗻𝗱 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗺𝗮𝗿𝗸𝗲𝘁𝘀

We’re looking for a full-time or part-time Backend Developer with deep expertise in Node and Typescript, with additional experience in Python. We also are looking for experience with RAG, LangGraph, and AI SDK, although not required.

You will design, build, and maintain scalable workflow automations and intelligent chatbot systems. In this role, you’ll develop backend services, integrate APIs, and create automated solutions that power conversational bots, internal tools and serve a critical role in supporting the current dev team. MUST be able to work within a team setting as well as independently. If you need hand holding or help figuring out what task to work on next, this role is not for you.

!!!*NO agencies*!!!

Responsibilities
- Design and implement complex agentic workflows and automation pipelines
- Develop and maintain backend services and API integrations
- Build and optimize AI-driven chatbots and conversational automation
- Connect third-party platforms (CRMs, messaging platforms, databases, etc.)
- Troubleshoot, optimize, and scale automation systems
- Collaborate with product and engineering teams to deliver reliable backend solutions
- Send periodic updates to PM and CEO, often meeting for adhoc huddles throughout the day
- Keep ClickUp (our PM system) up-to-date daily with task statuses and comments/update on current work

---*Requirements*--- NO EXCEPTIONS
- Strong experience with n8n workflow automation (advanced node usage, custom nodes, integrations)
- Solid backend development experience (Node.js/JavaScript/Python)
- Experience building or integrating RAG / conversational AI systems
- Strong API design and integration skills (REST, webhooks, OAuth)
- Familiarity with PostGres and SQL databases, cloud services, and scalable backend architecture
- Problem-solving mindset and ability to work independently*
- Full availability for adhoc and recurring meetings throughout the day. This can be worked around another part-time position (if both parties agree on PT for this role) will be determined on a case-by-case basis.
- This role *requires* real-time collaboration during US standard business hours, M-F, EST/CST.
- Response time of less than 1 hour, during standard working hours (if PT), FT is expected to respond in 30 minutes or less.
- Candidates must reside in locations that align with EST or CST timezones. WE WILL NOT HIRE candidates whose timezones are night/evening/or overnight during US business hours.

NO AGENCIES! NO EXCEPTIONS.
**All agencies who apply will be flagged and reported**

Nice to Have:
DevOps experience (GCP and Azure)
ClickUp for task management
Machine learning experience
Google Vertex (Agent) Platform

This role could be permanent for the right candidate. 30-day paid trial period to find the right fit. Be sure to include in your application what we are not accepting of that is clearly outlined in this job post. If you do not include this in your posting you will not be considered as this is the first line of following directions.

This is (ideally) a full time role that could lead to long-term, solid work for the right candidate. Those who can only offer part-time will be to explicitly clear what hours they have available and are willing to contribute.

I work in SEO daily and run a number of my own websites and webshops in the Dutch and Belgian market. I am not looking for a strategist to explain SEO to me. I am looking for a hands-on specialist who picks up tasks independently and finishes them. I provide the direction and priorities, you deliver the work.

This is meant as a long-term collaboration: 12 to 16 hours per month, structurally, spread across the weeks as we agree. No fixed office hours, but clear deadlines and a high bar for what you deliver.

What you will be doing

Depending on your strengths and the monthly priorities, for example:

Technical SEO analysis and concrete fixes (crawl issues, indexation, redirects, site architecture, Core Web Vitals)
Running and interpreting crawls (Screaming Frog or equivalent) and turning the findings into a prioritised, actionable list
Keyword research and clustering, mapped to existing and new pages
Writing content briefs for Dutch-language commercial and informational pages
Optimising existing pages (titles, metas, heading structure, internal links, expanding thin content)
Analysing and improving internal link structure
Building and validating schema markup (JSON-LD) for product, category, FAQ and article pages
Monthly reporting covering the key developments and the three highest-impact next steps

Nice to have, not required:

Experience with AI visibility and GEO (how brands and products show up in ChatGPT, Gemini, Perplexity and Google AI answers)
Programmatic SEO and building page templates from datasets
Shopify or other e-commerce platforms at a technical level
Python or Google Sheets/Looker Studio for data analysis and automation
What I am looking for
At least 3 years of demonstrable SEO experience, preferably agency-side or in e-commerce
Excellent Dutch, both for writing content briefs and for communicating with me. This is a hard requirement: the websites and audiences are Dutch-speaking (Netherlands and Belgium)
Independent and proactive. You ask questions when something is unclear, then deliver without me having to chase you
Experience with Google Search Console, Google Analytics 4 and at least one of Ahrefs or Semrush
You back up recommendations with data, not with generic best practices
You deliver finished work: no half-written documents, no unchecked AI output
Practical details
Scope: 12 to 16 hours per month, ongoing
Start: as soon as possible
Communication: short and to the point, via chat and a brief call where needed
Rate: state your hourly rate in euros and your weekly availability

I am looking for a collaborative role where I can solve complex problems and grow with an innovative team. I value clear communication and a supportive culture that values continuous learning. If you want to tailor this further, tell me: What is your industry or job role? Are you looking for remote or on-site work? Describe what you're looking for in a sentence or two.

We are building a platform to collect, standardize, analyze, and visualize energy data from European cities. The focus is energy management.

Four cities are in scope: two provide data via API, one via object storage, and others may upload files to a central Data Catalog. Data is annual or monthly time series and may include geospatial data. Documentation varies.

Data is transformed into a flexible PostgreSQL model supporting KPIs, other analysis tasks, metadata, contextual information, and city-specific requirements. Changes are discussed with the project lead.

ETL pipelines use Apache Airflow. An existing end-to-end pipeline for one city is being refactored as a template for new integrations. Tasks include connecting sources, building DAGs, validating and transforming data, and handling time series and geospatial data.

Results are visualized in Apache Superset. Experience with reusable templates or automated dashboard creation is welcome.

Profile: Contribute from ingestion to dashboards.
Stack: PostgreSQL, Airflow, Superset, Docker, Python, Git

Nice to have: Energy data or energy management, geospatial data, smart city platforms, dashboard automation

Need an experienced blockchain engineer to build a custom tool using private RPC nodes and custom deployment on a private chain. The work includes automation, smart contract structures, and script deployment on cloud services like AWS. Project details will be shared on a fixed-price milestone model after evaluation.

We are looking for an experienced AI Automation Developer to build a B2B prospecting and sales intelligence system for our commercial cleaning business.

The goal is to create an automated workflow that discovers local business prospects, enriches data, researches opportunities with AI, scores and prioritizes leads, and sends approved prospects into HighLevel CRM for sales follow-up.

You will work with:

Outscraper for business discovery
Apollo for contact enrichment
HighLevel API for CRM workflows
OpenAI/LLM APIs for research and qualification
Python and/or n8n for automation and orchestration

The ideal developer understands API integrations, automation architecture, CRM workflows, data normalization, deduplication, AI agents, human approval workflows, and production-ready automation systems.

Phase 1 focuses on building a reliable commercial prospecting engine that can generate prioritized leads daily while keeping the architecture modular for future markets and industries.

Skills
Python
AI Automation
OpenAI API
LLM / AI Agents
n8n Automation
REST API Integration
HighLevel (GoHighLevel) API
CRM Automation
Apollo API
Outscraper
Data Enrichment
Web Scraping
Lead Generation Automation
Data Processing
Database Design
Workflow Automation
Zapier / Make (optional)
JSON / Webhooks
System Architecture
Deduplication & Data Quality
Human-in-the-loop AI Workflows
Logging & Error Handling
Cloud / Deployment Basics
SaaS Integration
B2B Prospecting Systems
Sales Automation

Project Overview
We are launching a CAPDB (Customer and Prospect Database) program: a single, scored database of every current customer and every target prospect in our market. The CAPDB consolidates CRM, billing, product usage, and third party firmographic data into one master account database, applies AI assisted enrichment to fill and validate attributes, and scores every account against the profile of our best customers.
You will be a dedicated hands-on builder for this program, working alongside our internal business systems and data team and reporting to the Director of IT and Business Systems.
Scope of Work
• Data model design. Design and build the CAPDB schema (master account, contact, and activity layers) in our Azure SQL / Microsoft Fabric environment.
• Ingestion and consolidation. Build and maintain pipelines that consolidate data from our internal systems.
• Entity resolution. Match, merge, and deduplicate account records across sources into a clean master record with clear survivorship rules.
• AI enrichment. Build LLM assisted enrichment workflows to append, standardize, and validate firmographic attributes such as firm size, practice areas, geography, and tech stack.
• Account scoring. Partner with GTM stakeholders to implement a scoring and tiering model (for example Ideal / Emerging / Acceptable / Avoid) based on fit and historical performance signals such as retention, expansion, and deal velocity.
• Salesforce activation. Push scores, tiers, and enriched attributes back into Salesforce so sales and marketing can act on them in their daily workflows.
• Documentation and handoff. Document the data model, pipelines, and scoring logic so our internal team can own the platform long term.
Required Qualifications
• 5+ years in data engineering or analytics engineering roles
• Expert SQL and hands-on experience with Azure SQL Database
• Microsoft Fabric experience (Data Factory pipelines, Lakehouse or Warehouse, semantic models), or deep experience with the equivalent Azure Synapse / Power BI stack
• Working knowledge of the Salesforce data model and Salesforce data integration
• Python for pipeline and enrichment work
• Proven experience with data consolidation, master data management, or entity resolution across multiple systems
• Strong written communication; able to work independently with a distributed team
Nice to Have
• Experience calling LLM APIs (Anthropic Claude, Azure OpenAI) for data enrichment or classification at scale
• Familiarity with any of our surrounding stack: Fivetran, Chargebee, Pendo, Gong, ZoomInfo
• Power BI report development and DAX
• B2B SaaS RevOps or GTM analytics background; ICP definition, account scoring, or CAPDB style projects

We’re looking for an experienced AI Solutions & Automation Engineer who can help us build intelligent systems that automate real business processes.

This is not just an AI chatbot role. We need someone who understands how to connect AI, automation, APIs, CRMs, databases, and business workflows into reliable end-to-end systems.

You’ll work on things like:

AI-powered business workflows
Lead capture, qualification, and follow-up automation
CRM and ERP integrations
n8n / Make / Zapier automation
OpenAI and other LLM integrations
Custom AI agents and assistants
API integrations and webhooks
Automated email, WhatsApp, and notification workflows
Data processing and synchronization
Internal business tools and dashboards
Connecting different SaaS platforms into one workflow
Building scalable backend services where needed
What we’re looking for

You should be comfortable thinking beyond individual automations. We want someone who can look at a business process, understand where the bottlenecks are, and design a complete technical solution.

Strong experience with some of the following is preferred:

n8n
OpenAI / LLM APIs
AI Agents
Python / Node.js
REST APIs & Webhooks
CRM systems such as GoHighLevel, HubSpot, Salesforce, etc.
PostgreSQL / MongoDB
Make / Zapier
Cloud services
Docker
Authentication & third-party integrations

Experience building real production automation systems is more important to us than having a long list of tools on your CV.

Buongiorno Tatiana,
sto cercando una biostatistica indipendente per una revisione circoscritta di uno studio pilota osservazionale su 26 partecipanti.

Lo studio confronta tre indici aggregati derivati da risposta elettrodermica con quattro biomarcatori ematici: cortisolo, insulina a digiuno, HbA1c e hs-CRP.

Il lavoro è già molto strutturato: abbiamo protocollo, Statistical Analysis Plan, mapping prespecificato degli endpoint, dataset pseudonimizzato, analisi primarie, sensitivity analysis e un report statistico interno.

Non cerco quindi un’analisi costruita da zero, ma una revisione biostatistica indipendente focalizzata su:
– verifica/riproduzione dei quattro endpoint principali;
– correttezza dei modelli statistici utilizzati;
– eventuali criticità metodologiche;
– valutazione sintetica della robustezza dei risultati;
– indicazioni per una futura fase prospettica.

Il dataset è piccolo e già organizzato proprio per rendere il lavoro il più efficiente possibile.

Se è disponibile per un incarico di questo tipo, mi farebbe piacere ricevere un’indicazione di tempi e costo.

Grazie e buona giornata.

About Us

FITCHECK Global is building advanced AI-powered solutions in the image generation and fashion-tech space. We’re looking for a highly skilled AI Developer to join us to help optimize, deploy, and scale state-of-the-art image generation models.

Role Overview

You will work hands-on with diffusion-based image generation models, focusing on performance optimization, inference speed, and production-ready deployment. This role is ideal for someone who is comfortable working close to the metal and optimizing models for real-world use.

Required Skills & Experience
• Proven experience working with diffusion-based image generation models, including Virtual Try-On (VTON) pipelines
• MUST HAVE Hands-on experience deploying and running models on RUNPOD Serverless and must have existing experience on deploying complex models with the docker and containerization method
• Strong experience with TensorRT, including model quantization and end-to-end inference optimization
• Experience working with FLUX models and related architectures
• Solid background in optimizing image preprocessing pipelines for performance and scalability
• Experience developing or integrating masking tools for image generation and manipulation workflows
• Strong proficiency in Python and deep learning frameworks (PyTorch preferred)
• Ability to optimize models for production environments with a focus on speed, memory, and reliability

I’m looking for an experienced AI/ML Engineer to implement an end-to-end AI/ML project. I will provide the project requirements, specifications, and required resources/environment.

Required skills: Python, Jupyter, Google Colab, scikit-learn, SHAP, FastAPI, Unsloth (LoRA/QLoRA), GGUF/llama.cpp, Proxmox/Linux containers, LLM deployment, OpenClaw, Gitea/Git, and AI agent integration.

Looking for someone who can handle the project from model development and evaluation through deployment, integration, testing, and documentation.

We have a working local app that researches one B2B sales lead in depth. Given a
company and website, it finds business gaps, maps them to AI-automation ideas,
finds decision makers (LinkedIn via search results only, never by logging in),
labels business emails honestly, and recommends who to contact first.

Stack: Python 3.12 (uv), FastAPI, plain HTML/JS UI, SQLite, an MCP server with
38 tools, Claude Agent SDK (main LLM path), OpenAI Agents SDK, Playwright/Crawl4AI,
pytest (254 tests). Primary platform: Windows 11.

The Claude path works end to end. We need you to:
- Test it on ~10 real small-business leads and fix quality issues
- Get the OpenAI and Ollama paths working end to end
- Live-test the optional paid API integrations (Hunter, Serper, etc.) on free tiers
- Polish the web UI and add a regression test suite for the agent's output

Must have:
- Strong async Python and LLM agent / tool-calling experience
- Experience building or using MCP servers
- Ethical scraping: no logged-in LinkedIn automation, no fake accounts, no CAPTCHA bypass

You'll test with your own Claude/OpenAI accounts and free-tier API keys. We don't
share logins or our research data. Paid by milestone; the first milestone is a
paid trial.

To apply, start your proposal with the word DOSSIER and link one agent or MCP
project you built.

SKILLS
Python, AI Agent Development, LLM, Claude, OpenAI API, FastAPI, Web Scraping, Playwright, API Integration

SCREENING QUESTIONS
1. How would you find a company's decision makers on LinkedIn without logging in or breaking LinkedIn's terms?
2. How would you check that an AI agent's output didn't get worse after a prompt change?
3. Which of the listed tasks would you tackle first, and roughly how many hours would it take?

I need a freelancer to test my Python editor application on MacOS for an initial 10-hour phase. The work includes running the app, identifying issues, and reporting problems clearly. Experience using Python and testing software on MacOS is important. This is a short-term project focused on quality assurance and feedback to help improve the application.

EdgeMind is a serverless, globally distributed backend for running multiple cooperating AI agents on Cloudflare's edge network. An orchestrator agent receives a user request, breaks it into subtasks, and routes each one to a specialized agent, such as a research agent, a retrieval (RAG) agent, a code agent, or a summarizer. It then combines their results into a single response.

Each agent runs as a stateful Durable Object built with the Cloudflare Agents SDK, so it keeps its own memory, conversation history, and task state across requests. Agents communicate through Cloudflare Queues for asynchronous work, and long-running tasks run on Cloudflare Workflows, which provides retries and durable execution. LLM calls go through AI Gateway, which adds caching, rate limiting, cost tracking, and fallback between Workers AI models and external providers. The storage layer uses Vectorize for semantic search and long-term memory, D1 for relational data such as users, tasks, and audit logs, R2 for documents and artifacts, and KV for configuration and session caching. Clients receive results in real time over WebSockets.

The project demonstrates agent orchestration patterns, stateful serverless design, event-driven communication, and production concerns including observability, authentication, rate limiting, and cost control, all with no servers to manage.

Tech stack: TypeScript, Cloudflare Workers, Agents SDK, Durable Objects, Workers AI, AI Gateway, Vectorize, D1, R2, KV, Queues, Workflows, and Hono for routing.

Looking for an AI engineer, to develop, maintain and scale our AI models.

Looking for an experienced Python + Oracle NetSuite developer to create a script that reads an Excel file and creates Work Orders in NetSuite using the NetSuite API.

Requirements:

Strong Python experience
NetSuite API / SuiteTalk / REST API experience
Read and process Excel files
Create Work Orders through the API
Error handling and logging
Secure API authentication

Please include examples of similar NetSuite API integrations you have completed and your estimated hours/cost.