Optimize Deep Learning Projects on Upwork

Looking for a freelancer to collect facial image and video data from White/Caucasian (European descent) individuals for liveness detection. Both real and spoof (print, replay, mask) content needed.

Requirements:

300+ unique Caucasian individuals

3,000 images & 3,000 short videos

Natural and varied lighting, devices, accessories, poses

Must include spoof attack types

No AI-generated content

Preferred Regions to Source Participants:
USA, Canada, UK, Germany, France, Poland, Australia, New Zealand

Skills: Machine Learning, Data Analysis, TensorFlow, Python, Deep Learning, Neural Network, Data Science, Data Mining, Computer Vision, Data Collection

We are a Salesforce implementation partner looking to build an AI-powered video interview system to automate candidate screening. The platform should conduct asynchronous video interviews where a bot presents questions (fixed and dynamic), captures video responses, analyzes them using LLM-based scoring, and pushes the evaluation into Salesforce.

This is a modular project, and we’re open to agencies or experienced freelancers with strong capabilities in video tech, AI/LLMs, and CRM integrations.

Skills: AI Agent Development, AI Bot, Automatic Speech Recognition, Face Detection, Python, Artificial Intelligence, Machine Learning, Deep Learning

Hello,

I’m a full-time freelance AI/ML developer with proven experience in delivering end-to-end solutions involving Generative AI, NLP, Computer Vision, and Deep Learning. I’m currently working on multiple client projects and have a strong pipeline of upcoming work.

To scale efficiently and maintain quality, I’m looking to partner with a professional development organization that can support me with:

Web & Mobile App Development
Backend/API Development
DevOps & Deployment
Full-stack integration of AI solutions

This would be a long-term collaboration opportunity for project-based work where I handle AI/ML development and your team handles implementation and system integration.

If your company is interested in collaborating, please reach out with your portfolio, team strengths, and relevant experience.

Let’s connect and explore how we can work together to deliver high-impact AI/ML solutions.

Skills: Artificial Intelligence, NLP

Hi Yuri,

Hi, I'm part of a team that builds automated strategies on higher time frames. We're now exploring intraday algos, mainly in futures. Not looking to hire hourly—just want to hop on a quick call to see legit past work and projects. Open to buying proven systems if there's a fit. Let me know if you're open to a chat.

Best,
Will Spence

Skills: Data Analysis, Python, Data Science, Machine Learning, Quantitative Analysis, Automation, Scripting, Investment Strategy, Cryptocurrency, Deep Learning, Forex Trading, Bot Development, Quantitative Finance, Trading Automation

We need a skilled developer to design and implement short-term automation workflows using Python and n8n. Focus areas include integrating AI tools (e.g., NLP, chatbots) into workflows, automating data processing, and connecting APIs.

Key Responsibilities:

Develop lightweight AI-driven automation scripts in Python.

Build and optimize n8n workflows for tasks like data scraping, notifications, or CRM updates.

Integrate AI APIs (e.g., OpenAI, Hugging Face) into existing systems.

Troubleshoot and refine automation processes for efficiency.

Requirements:

Proficiency in Python and experience with n8n (or similar tools like Zapier/Make).

Basic understanding of AI/ML concepts and API integrations.

Ability to deliver quick, scalable solutions (e.g., 2–5 hour projects).

Nice to Have:

Familiarity with cloud services (AWS, Google Cloud).

Experience with chatbots or RPA tools.

Project Scope:

Short-term, freelance/contract role.

Example tasks: Automate email responses with AI, sync data between apps, or create a custom n8n node.

Skills: Data Science, Machine Learning, TensorFlow, Natural Language Processing, Artificial Intelligence, Deep Learning, Artificial Neural Network, Python, API, Automation

Seeking a developer proficient in OpenAI APIs, GPT models, and prompt engineering to build an AI-powered assistant within our web application. Experience with LangChain, FastAPI, or Python is advantageous. Responsibilities include ensuring secure API integration and scalable deployment.

Application Requirements:
• Links to previous AI chatbot or GPT-powered projects
• GitHub profile showcasing relevant work

Skills: Artificial Intelligence, Python, Machine Learning, TensorFlow, Natural Language Processing, Artificial Neural Network, Deep Learning, Data Science, Neural Network, Amazon Web Services

I need an AI/ML engineer to help us fine-tune or prompt-tune a Large Language Model on a domain-specific dataset (~5K legal/compliance records). The goal is to build a lean, RAG-ready pipeline that can extract legal clauses, detect anomalies, and generate concise summaries.

This is a proof-of-concept project, but if successful, will evolve into a larger engagement (retrieval integration, chatbot interface, vector DB, etc.).

Skills: Python, Machine Learning, Data Science, TensorFlow, Data Analysis, Microsoft Excel, Deep Learning, Data Mining, Data Scraping, Natural Language Processing

We're looking for a tech-savvy problem solver to build smart automations that combine Python scripting with low-code platforms (Zapier/Make/n8n). You'll create time-saving workflows, integrate AI capabilities, and connect business applications with minimal manual intervention.

What You'll Do:
* Design automated workflows using Zapier, Make, or n8n
* Write Python scripts for data processing and AI tasks (NLP, chatbots, etc.)
* Connect APIs and troubleshoot integration issues
* Implement AI tools like OpenAI, Hugging Face into business processes
* Optimize existing automations for speed and reliability

Skills We Need:
✓ Strong Python programming skills
✓ Hands-on experience with Zapier, Make, and/or n8n
✓ Understanding of API integrations (REST, webhooks)
✓ Familiarity with AI/ML concepts and tools
✓ Ability to simplify complex processes

Bonus Points For:
* Experience with RPA tools (UiPath, Automation Anywhere)
* Knowledge of cloud services (AWS, GCP)
* Previous chatbot development

Skills: Data Science, C++, Deep Learning, TensorFlow, Python, Automation, JavaScript, Machine Learning, Artificial Intelligence, API

Absolutely! Creating an app to reconnect crystal fragments, similar to how Brik.it matches LEGO pieces, is feasible and offers significant practical value. Here’s how you might structure and develop this application clearly and effectively:

⸻

App Overview: “CrystalMatch” (conceptual name)

An augmented reality (AR) and AI-driven app designed specifically for crystal enthusiasts, miners, and jewelers to identify and reconnect crystal fragments using surface geometry, pattern recognition, and matching algorithms.

⸻

Core Functionalities

1. 3D Crystal Scanning:
• Users scan each crystal fragment with their smartphone cameras, creating detailed 3D models of the crystal pieces.
• Advanced photogrammetry or LIDAR techniques (available on newer smartphones) reconstruct high-resolution digital crystal replicas.

2. Surface Pattern & Imprint Recognition (AI-driven):
• Uses deep learning (convolutional neural networks - CNNs) to analyze and recognize unique patterns, fracture lines, imprints, and growth markings.
• Stores these distinct identifiers in a database, enabling precise matching and reconnecting.

3. Matching Algorithm:
• Similar to the Brik.it approach, CrystalMatch employs geometric hashing and pattern-matching algorithms.
• Algorithms identify potential matches between fragmented crystal faces based on geometry (angles, curvature, edges), imprint depth, texture, and growth patterns.

4. Augmented Reality (AR) Visualization:
• After identifying a potential match, the app visually demonstrates reconnection in AR.
• Users can view how the crystals would look reassembled and rotate/inspect the matched crystal structure virtually.

5. Database & Cloud Integration:
• A centralized, cloud-based database stores crystal scans for matching across various user-submitted crystals.
• The database allows global collaboration—users can match their pieces with those scanned by others worldwide.

⸻

How the App Works (Step-by-Step User Flow)
1. Scan Crystal Fragments:
• Open CrystalMatch.
• Scan crystal surfaces (app captures geometry, imprint, texture).
2. AI Processing:
• AI analyzes data, generating detailed profiles of each crystal face.
3. Match & Notification:
• App searches database for compatible fragments.
• Notifies users upon finding potential matches, providing confidence percentages.
4. Visual Reconnection via AR:
• Users preview how crystals would reconnect in AR.
• Provides guidance for physical reassembly.
5. Community Collaboration:
• Users can opt-in to share their crystal scans, expanding the global crystal matching network.

⸻

Technology Stack (Suggested)
• Frontend: React Native (cross-platform for iOS/Android), Unity (for AR capabilities)
• Backend: AWS/Azure/GCP (Cloud storage, scalable databases, API hosting)
• AI Tools: TensorFlow, PyTorch (CNNs for pattern recognition)
• 3D Reconstruction: Apple ARKit / Google ARCore, RealityCapture, or Meshroom for photogrammetry

⸻

Feasibility and Technical Challenges:

Feasibility:
• Technically feasible, leveraging existing AR and AI tech.
• Similar precedents exist, proving concept validity (Brik.it, archaeological pottery reconstruction software).

Challenges & Solutions:
• Complex Geometry Recognition: Solved by using sophisticated CNN models trained specifically on crystal structures.
• Data Accuracy: High-quality LIDAR and photogrammetry combined with careful user-guided scans ensure precise data acquisition.
• Scalability: Cloud infrastructure provides scalability and fast matching capabilities.

⸻

Use Cases & Market Potential:
• Mining & Gem Industry: Matching high-value gemstones/crystals to increase value significantly.
• Jewelry and Collectibles Market: Enhances authenticity and collectible value by providing verifiable reconnection.
• Educational and Geological Research: Facilitates studies on crystal growth and fracture patterns.

⸻

Conclusion:

Developing “CrystalMatch” is both practical and valuable. Leveraging AR, AI-driven pattern recognition, and existing mobile technology, this app would significantly benefit industries related to minerals, jewelry, and collectibles. It’s an exciting, innovative application that aligns perfectly with your interests in crystals and cutting-edge tech integration.

Skills: C Programming, 3D Rendering, Maya, RADAR/LIDAR, 3D Scanning

We're looking to develop an API to that detects faces, emotions, and even authenticates a person in real-time, using a video stream. We like to do this in AWS. Should generate a response in few seconds.

Skills: Python, Machine Learning, TensorFlow, Neural Network, Deep Learning, PyTorch, Artificial Neural Network, Computer Vision

build cutting-edge AI solutions that make technology more intuitive, accessible, and intelligent. We specialize in building next-gen platforms powered by voice control, machine learning, and smart automation — and we’re growing!

We’re looking for a skilled AI Developer who is passionate about solving real-world problems using artificial intelligence, especially in the areas of voice command systems, NLP, and predictive models.

Skills: Artificial Intelligence, Machine Learning, Artificial Neural Network, Natural Language Processing, Deep Learning, Neural Network, Chatbot Development, Python, TensorFlow

I am learning Generative AI through an online program and need assistance with a mid-term project. I have not been able to keep up due to work commitments & need help with errors that are taking me too long to get through. Would you be interested in working with me to provide guidance, suggestions & corrections so I can complete the work on time. I have time tomorrow between 8:30 and 5:00 pm tomorrow and 8:00 till 8:00 on Sunday. I think it may take a few hours to complete.

If all goes well, I would like to reach out to you for future mentoring as well. I hope we can work together.

Julienne F.

Skills: Data Analytics, Statistical Analysis, Python, Machine Learning, Computer Vision, Deep Learning, Natural Language Processing, Generative AI, Generative AI Prompt Engineering, LLM Prompt Engineering, ChatGPT, Generative Model, Generative AI Prompt, Edge AI, JavaScript

We are seeking an expert in remote sensing with a Master's degree or PhD to assist with projects involving UAV Lidar data and multispectral data. The ideal candidate will have a strong background in geospatial analysis, experience with remote sensing technologies, and the ability to interpret complex datasets. Your expertise will contribute to cutting-edge research and applications in environmental monitoring, agriculture, and urban planning. If you possess the necessary qualifications and are passionate about leveraging remote sensing for impactful projects, we would love to hear from you!

Skills: ArcGIS, Deep Learning, Python, Machine Learning, QGIS, R, Data Science, MATLAB, Statistics

BandhanMart is an innovative lifestyle application designed for Android users, focusing on social commerce. This platform allows users to engage in buying and selling products while forging meaningful connections within their community. With features like trading to earn points and cash, users can benefit from a dual reward system where profits are split between cash and points, enhancing the shopping experience. Additionally, the app supports a network of over 10,000 local partners, enabling users to redeem points at various neighborhood stores, promoting local businesses. The application also empowers users to become agents, allowing them to build teams and earn additional rewards. Bandhan Mart emphasizes local impact by facilitating transactions that benefit nearby shops, making it a community- driven platform. With over 500,000 users and a transparent fee structure, BandhanMart aims to create a wealth of opportunities while strengthening community ties.

We are an e-commerce company [BandhanMart] from Hong Kong. We have established a shopping mall APP and cloud warehouse overseas. Our main job is to match merchants and users to trade goods, thereby earning a certain price difference in the middle.

Skills: Social Networking, Advertising, Communications, Time Management, Deep Learning

We are looking for an experienced Computer Vision expert to develop and deploy a model for detecting damages in boxes, with deployment using NVIDIA DeepStream. The ideal candidate should have a strong background in real-world CV problems and expertise with YOLOv11 or similar models.

Key Requirements:
Proven experience in developing and deploying computer vision models
Expertise in YOLOv11 (or other advanced YOLO versions like v8–v10)
Prior experience with damage detection, defect inspection, or industrial vision applications
Skilled in optimizing model performance and achieving high accuracy
Experience with NVIDIA DeepStream for real-time, edge, or GPU-accelerated deployment
Familiarity with dataset annotation, training pipelines, evaluation metrics (precision, recall, mAP)

Deliverables:
Trained and tested damage detection model (YOLOv11 preferred)
Deployment-ready solution using DeepStream (with configuration files, engine builds, etc.)
Documentation and performance report
Test in production with client
Guidance for model retraining and scalability

Ideal Candidate:
Has deployed models using DeepStream SDK (preferably on NVIDIA Jetson/Orin/Xavier platforms)
Can demonstrate experience in solving real-world computer vision problems
Shares project portfolio or links to similar work

Skills: Python, Computer Vision, Deep Learning, Object Detection, YOLO

I need a free, open-source AI video generator tool developed in Python, utilizing:

- Stable Diffusion for image generation
- Deforum for animation
- gTTS for audio narration

The tool should:
- Accept user-provided text/scripts
- Generate narrated AI videos
- Be user-friendly and runnable on basic computers
- Include customizable voice options and background music

Deliverables:
- Working Python code with all dependencies
- Documentation for understanding and modifying the code

Ideal Skills:
- Proficiency in Python, AI/ML
- Experience with Stable Diffusion, Deforum, gTTS
- Familiarity with open-source tools and development

Skills: Python, Machine Learning (ML), Deep Learning, AI Text-to-speech, AI Text-to-video

I'm looking for a skilled AI specialist to train a DreamBooth model with high-resolution images of a human character. The model should use Stable Diffusion 1.5 as the base and preserve the character's exact facial features like jawline, beard, eyes, and other details while allowing for outfit and background variations.

Requirements:
- Output .ckpt and .safetensors files
- Assign a simple token (e.g., "grandpaliberty man")
- High photorealism consistency (minimal drift allowed)

Deliverables:
- Trained model files
- Simple guide on prompting for best results

Requirements:
High photorealism consistency (minimal drift allowed).
You can check detailed requirements via this link:
https://limewire.com/d/r1sUq#1qKg9e3Qby

Ideal Skills:
- Experience with DreamBooth and Stable Diffusion
- Strong understanding of photorealistic image generation
- Ability to deliver within 2-3 days

Please provide a fixed price estimate within the specified budget.

Skills: Training, Deep Learning

Job Title:
Deploy AI-Based Hair Try-On Feature with GPU on AWS (30GB Project)

Project Description:
We are building an advanced AI-based 2D Hair Try-On feature that detects and overlays wigs/hair extensions on the user's face using deep learning models developed in Python with PyTorch.

The model and code work perfectly on Google Colab (T4 GPU) and Lightning AI, but we’re struggling to deploy it on AWS GPU-based EC2 instances. We've tried methods including Docker, ECS Clusters, and S3 sync, but the task remains stuck in pending or shows CUDA-related errors.

The full project size is around 30 GB (including models, libraries, assets), and the API is already created.

Your Task:
Analyze and troubleshoot CUDA or GPU-related errors during deployment.

Set up a GPU-enabled AWS EC2 instance (like g4dn.xlarge or T4 equivalent).

Optimize Docker or another method for smooth model deployment.

Successfully run the project and API live on the AWS instance.

Ensure stability, GPU compatibility, and performance tuning.

Tech Stack Involved:
Python, PyTorch

Docker

CUDA, cuDNN

AWS EC2 (GPU), EBS/S3

API deployment (FastAPI or Flask)

Linux server setup & SSH

Optional: Lightning AI familiarity

Requirements:
Proven experience in deploying deep learning models on AWS with GPU.

Strong understanding of Docker, CUDA setup, and AWS services.

Ability to debug environment issues and optimize GPU usage.

Prior experience handling large model deployments (20GB+ preferred).

Budget & Timeline:
Open to reasonable proposals. This is an urgent task, so preference will be given to candidates who can deliver within 1,2 days.

Extras:
Please share previous work samples if available (e.g., deployed ML models with GPU). Mention the AWS instance types and configuration you prefer for best results.

Only For Serious Freelancer

Skills: Python, Linux, CUDA, Amazon Web Services, Ubuntu

Are you still looking for your first breakthrough on Upwork?

do you have experience with python and machine learning, data science?

I have this test project already build and needs experts hands for optimization.

Only apply if you don't have expertise with python and machine learning.

Skills: Python, Machine Learning, Data Science, Deep Learning, Python Scikit-Learn

We’re Hiring: AI Developer for SMB Solutions

Join us in transforming small to medium businesses with cutting-edge AI solutions.
• Work directly with SMB clients across diverse industries
• Understand business challenges and identify AI opportunities
• Design and implement practical AI tools (workflow, marketing, accounting, customer service)
• Customize solutions using NLP, machine learning, automation, and integrations
• Collaborate with non-technical stakeholders
• Flexible work arrangements (remote/freelance/full-time options)
• Passion for helping businesses grow through smart technology

Apply now and help shape the future of Australian small business with AI!

Skills: Machine Learning, Anomaly Detection, Deep Learning, Computer Vision, C++, Python, OpenCV, Amazon SageMaker, Image Processing, Recommender Systems Development, OCR Algorithm, Tesseract, Artificial Intelligence, C#, Desktop Application

I need an experienced AI/Computer Vision developer to create a deep learning model for detecting and counting activities in outdoor videos. This is part of a Proof of Concept to automate event recognition for low-power edge devices.

Key Responsibilities
Design and develop a lightweight object detection and event classification model (e.g. using CNNs, YOLO, Faster R-CNN)
Work with video samples featuring day/night footage, occlusions, and varied perspectives
Build and manage annotation workflows using tools like CVAT or equivalent
Optimize the model for deployment on edge processors (e.g. NVIDIA Jetson)
Collaborate with a local project lead (based in Australia)
Provide clear documentation and contribute to knowledge transfer for non-technical staff

Required Skills & Experience
Advanced proficiency in Python, TensorFlow or PyTorch
Solid background in computer vision, particularly in object detection and event tracking
Experience working with edge AI, embedded systems, or hardware-constrained environments
Familiarity with annotation tools such as CVAT, and trackers like Deep SORT
Ability to simulate or prototype solutions without access to live production data
Strong communication and code documentation skills

Please provide samples of similar work and any relevant project experience.

Skills: Python, Software Architecture, CUDA, Machine Learning (ML), C++ Programming

We’re hiring ASAP

We're looking for welding defects dataset.
We're hiring a freelancer (or team) to collect and classify images into the following 14 categories:

Burn-Through
Crack
Crater
Distortion
Good Weld
Hot Tear
Incomplete Fusion
Incomplete Penetration
Overlap
Porosity
Slag Inclusions
Spatter
Undercut
Underfill

Deliverables:
500 high-quality images per class (total: 7,000 images)

All images must be sorted into folders by class name
Images must be:
Clear and relevant
In .jpg, .jpeg, or .png format
Free of duplicates

Timeline:
We need the full dataset delivered within 1-2 days.

Skills: Data Entry, Graphic Design, Deep Learning, Data Extraction, Database, Data Engineering, Data Collection, Python, Metallurgical Engineering, Welding, Quality Inspection

We are seeking an AI Image Consultant with cutting-edge experience in generating highly specific, high-quality images and short videos using AI tools.
The Challenge:
We know how difficult it is to generate exactly what you want from text prompts. We've tried many of the popular tools (Midjourney, DALL·E, Runway, etc.) — and while they’re good for basic outputs, they often fall short when precision, style consistency, or creative control is needed.
What We're Looking For:
We're looking for someone who has already solved this challenge — someone who knows:
How to get exact results from prompt-based tools.
How to fine-tune, train, or chain models/tools for better results.
The ins and outs of tools like Midjourney, DALL·E, Stable Diffusion, Runway ML, Pika Labs, Sora, or others.
How to convert text into consistent, high-quality image and/or video content.
You'll Help Us With:
Turning written concepts into stunning AI-generated visuals.
Advising on the best tools and workflows.
Creating consistent visual styles across multiple images or videos.
Possibly guiding model fine-tuning or prompt engineering if needed.
Bonus If You Have:
Experience with AI video creation tools.
Background in design or visual storytelling.
Ability to automate parts of the process.
If you're an expert who’s already cracked the code on how to generate professional-grade AI visuals from text, we’d love to hear from you!

Skills: Adobe Illustrator, TensorFlow, Graphic Design, Artificial Intelligence, Adobe Photoshop, Machine Learning, Computer Vision, Social Media Marketing, Deep Learning, Python

Project description:

1. Create a AI chat boot, that allows the users access different knowledge bases derived from various documents (word, excel, powerpoint, pdfs, specific websites), which are only accessible by certain group of users.

2. As frontend, OpenWeb UI shall be used, which will be the user facing tool. For the backend Flowise shall be used. For authentication of the users Keycloak (already existing) shall be used, so that the user groups from the ActiveDirectory can be used, to limit the access to the different knowledge bases. It must be ensured, that only allowed users are able to access the specific knowledge base, but the AI chat boot shall send the questions to the different knowledge base, so that the users don’t need to know, in which knowledge base they need to search.

3. The data ingestion shall be cleaned up using unstructured, so that the data is of best possible quality. For every knowledge base, a curator will be selected, who will upload (bulk upload of documents or folders must be possible) the appropriate documents for his knowledge base. Stopwords, which shall not be indexed, must be defined. The documents will be mostly in german, but there might also be some documents in english. For PDFs, OCR shall be used to make the content of the PDFs accessible to the embedding and searching. Not the entire Alfresco document space will be used, only selected / curated documents will be used in the different knowledge bases. The curators are savvy in their field, hence they know, which data is good and not. Eventually, metadata, such as dates, or additional information (meeting notes of date xx.yy.zzzz) can be added by the curator, when the documents are uploaded. The main goal of the curator is to only add verified and correct data to the knowledge bases and avoid false or outdated information. The curators will also update the knowledge base with new documents from time to time.

4. The embedding shall be done locally with the best possible LLM model, that is available.

5. A hybrid search based on vectors and knowledge graphs, such as Fast Graph Rag or LightRAG shall be used to get the best possible results. All databases shall run locally. Document updates shall be handled easily, without the need to redo the entired embedding again.

6. The LLM for derriving the information from the knowledge bases shall also run locally. The RAG shall evaluate the best results and hallucination shall be reduced to the bare minimum (TruthCheck).

7. The system shall scale for approx. 100 concurrent users.

8. Everything shall run locally on the customers infrastructure. We can offer Linux or Windows based servers. Docker for encapsulation shall be used.

9. The costs shall be kept low, hence the usage of existing free open source tools.

Skills: Artificial Intelligence, Machine Learning Model, Machine Learning, LLM Prompt, LLM Prompt Engineering, Chatbot Development, Retrieval Augmented Generation, Deep Learning Modeling, Computer Vision, Natural Language Processing, ChatGPT, LLaMA, LangChain, Mistral 7B

We’re hiring a new graduate AI/ML engineer to help build a deepfake detection system from scratch. You’ll work on detecting fake images, videos, and voices using modern machine learning tools. This is a full-time, 2-year opportunity to work on an impactful AI safety project.

Key Responsibilities
• Train and fine-tune deep learning models (e.g., CNNs, Transformers)
• Collect and manage datasets for training and testing
• Collaborate with the backend team for system integration
• Track and document model performance and updates

⸻

Requirements
• Irish citizen living in Ireland
• Bachelor’s degree in AI, Machine Learning, Computer Science, or related field (Class of 2023–2025)
• Strong Python skills; familiarity with PyTorch or TensorFlow
• Interest in deepfake detection, computer vision, or AI safety
• Independent, self-motivated, and eager to learn

Skills: Artificial Intelligence, Machine Learning, Python, Natural Language Processing, Artificial Neural Network, TensorFlow, Data Science, Deep Learning

Build AI-Powered Junk Hauling MVP (Python, OpenAI, GHL, Flask/Streamlit)

Description:

We’re launching a lean, automated junk removal business and need a developer to build a Minimum Viable Product (MVP) that integrates:
• Go High Level (GHL) for CRM and SMS workflows
• Python + OpenAI (GPT-4o) for AI-generated SMS replies
• Flask or Streamlit to create a lightweight admin interface
• Android SIM gateway to send 300+ cold SMS per day

The goal is to route cold outreach replies to an AI agent that can classify, respond, and escalate leads — all managed through a simple panel.

⸻

Core Responsibilities:
• Build a Python middleware to route SMS replies through GPT-4 API
• Connect GHL webhooks to Python backend for tagging and follow-ups
• Develop a Flask/Streamlit admin panel to manage prompts, tone, pricing, and drip settings
• Set up database or JSON config file to store dynamic values (e.g. tag messages, city pricing)
• Help implement SMS sending via Android phone or Twilio/SIM gateway
• Integrate AI-generated messages back into GHL workflows or directly to user

⸻

Ideal Experience:
• 2–4 years Python development experience (FastAPI, Flask, or Streamlit)
• Experience working with OpenAI API (especially GPT-4 or GPT-4o)
• Familiarity with Go High Level (or ability to learn fast via API/docs)
• Knowledge of webhook integration and basic automation workflows
• Clean, simple frontend UI skills (Bootstrap or Tailwind is a plus)

⸻

Bonus Points:
• SMS gateway experience (Twilio or Android SIM-based)
• RAG or LangChain experience for future chatbot evolution
• Startup or MVP building background

⸻

Deliverables:
• Working MVP system that handles inbound SMS via GHL + Python
• Admin panel with config controls (AI prompts, tone, pricing, tag logic)
• JSON or database-based configuration for future flexibility
• Testable system that books jobs from cold leads with light automation


NEED TO START ASAP

Skills: Artificial Intelligence, Chatbot Development, Natural Language Processing, Machine Learning, Neural Network, TensorFlow, Deep Learning

We are seeking an experienced research paper writer specializing in the computer science and Deep learning domain. The ideal candidate should have a strong background in technical writing and be adept at conducting thorough research on various computer science topics. You will be responsible for creating well-structured and coherent research papers that adhere to academic standards. Familiarity with citation styles and the ability to analyze and interpret data is essential. If you are detail-oriented and can meet tight deadlines, we encourage you to apply.

Skills: Qualitative Research, Technical Documentation, Specifications, Datasheet, Procedure Development, Technical Report, Training Materials, Description, Software, Information Technology, Microsoft Word, Academic Writing, Research Papers, Writing, Technical Writing, Quantitative Research, Article

Here at nOps we help customers to optimize their spend, we are looking we are seeking a Sagemaker expert to assist in training foundational models to accurately predict infrastructure cost. The ideal candidate will have hands-on experience with AWS Sagemaker, including setting up environments, optimizing model training, and deploying solutions. You will be responsible for developing and fine-tuning algorithms to achieve desired outcomes.

Skills: Machine Learning, Python, TensorFlow, Deep Learning, Keras

We are seeking an experienced AI developer to create an advanced chatbot. The ideal candidate should have hands-on experience with LLM (Large Language Models), API integration, and proficiency in Azure and Python. You will be responsible for designing, developing, and deploying the chatbot, ensuring it meets user needs and performs efficiently. Strong problem-solving skills and a passion for AI technology are essential. If you are ready to innovate and create impactful solutions, we would love to hear from you!

Skills: Chatbot Development, Artificial Intelligence, Natural Language Processing, Machine Learning, Python, Deep Learning, API, Bot Development, Neural Network

We are seeking an experienced developer to create a Retrieval-Augmented Generation (RAG) pipeline aimed at efficiently querying a database containing podcast and YouTube content. The ideal candidate will have a strong background in data retrieval, natural language processing, and machine learning. You will be responsible for designing and implementing the pipeline to enhance content accessibility and user experience. If you have a passion for audio-visual content and data-driven solutions, we would love to hear from you!

Skills: Deep Learning, Natural Language Processing, Deep Learning Modeling, Machine Learning, Computer Vision, LLM Prompt, Large Language Model, Classification, Generative AI, Generative Model, Web Scraping, AI Consulting, Chatbot, AI Agent Development, ChatGPT

We are seeking an experienced developer to create a Retrieval-Augmented Generation (RAG) pipeline aimed at efficiently querying a database containing podcast and YouTube content. The ideal candidate will have a strong background in data retrieval, natural language processing, and machine learning. You will be responsible for designing and implementing the pipeline to enhance content accessibility and user experience. If you have a passion for audio-visual content and data-driven solutions, we would love to hear from you!

Skills: Artificial Neural Network, Python, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Science, Image Processing, Artificial Intelligence, MERN Stack, Website Builders & CMS Consultation, Chatbot Development, ChatGPT