Optimize Deep Learning Projects on Upwork

I've completed a sign language translation project utilizing a Transformer model. Unfortunately, it doesn't accurately predict both the expected gloss and text hypothesis during inference on the validation and testing sets. Your task is to update the project without altering the defined model architecture, to ensure accurate predictions.

Key Tasks:
- Fix the prediction issues for both gloss and text hypotheses.
- Optimize the project to improve translation evaluation metrics on the validation and testing datasets.

I've already attempted a variety of techniques, but have not been successful. The model's current predictions for both gloss and text hypotheses are incorrect. Hence, I need a specialist who can troubleshoot and enhance this model, with a focus on improving the translation evaluation metrics.

Skills: Machine Learning (ML), Deep Learning, Natural Language Processing, Convolutional Neural Network, Transformer Model

We are seeking an experienced Deep Learning specialist to train our model using a provided dataset and code. You must have access to a high-performance GPU (RTX 4090 or above) with at least 32GB memory to ensure efficient training. The project involves optimizing the model, conducting experiments, and preparing a comprehensive technical report detailing methodologies, results, and insights.

Responsibilities:
• Train the deep learning model using the provided dataset and code.
• Optimize and refine the code as needed to achieve optimal performance.
• Conduct multiple training experiments and analyze the results.
• Prepare a detailed technical report summarizing the training process, results, and optimizations.

Requirements:
• Extensive experience in Deep Learning with hands-on coding expertise.
• Proven experience working with high-end GPUs for model training.
• Strong skills in debugging, optimizing, and refining deep learning code.
• Proficiency in TensorFlow, PyTorch, or similar frameworks.
• Deep understanding of model evaluation techniques and performance tuning.
• Strong technical writing skills to convey complex concepts effectively.

Deliverables:
1. Trained model along with relevant training logs.
2. Optimized code (if modifications were required).
3. Comprehensive technical report including:
• Model architecture and implementation details
• Training methodology and experimental setup
• Hyperparameter tuning strategies
• Performance evaluation and result analysis
• Insights, challenges, and recommendations for further improvements

Skills: Machine Learning, Python, Deep Learning, Neural Network, TensorFlow

We are seeking a Data Scientist with expertise in machine learning and deep learning to develop predictive models for Home Equity Loan default analysis. The role involves using Python and TensorFlow to build logistic and linear regression models to predict loan defaults and estimate loss amounts. Responsibilities include data preprocessing, feature selection, hyperparameter tuning, and model evaluation using accuracy, ROC curves, and RMSE metrics. The ideal candidate should have experience in statistical modeling, neural networks, and financial data analysis, with a strong ability to interpret model results and provide actionable insights. Required Sunday 11 pm night. Budget is fixed.

Skills: Python, Data Analysis, Neural Networks - Linear and Logistic Regression

We are creating an interactive AI-powered art installation where visitors manipulate sliders to adjust AI-generated portraits based on social roles (e.g., Leadership, Empathy, Independence, Motherhood). The AI will generate charcoal/sketch-like digital portraits that morph in real-time as the user inputs change.

We need a skilled AI developer to:
- Train an AI model on facial datasets, mapping different social role parameters to visual features.
- Implement real-time face morphing based on slider-based user input.
- Apply aesthetic transformations to make outputs appear hand-drawn/charcoal-like.
- Integrate the AI with an interactive UI (web-based or physical interface).
- Ensure the system runs in real-time for projection-based display.

Required Skills:
Machine Learning / Deep Learning (Facial Generation, GANs, Latent Space Editing)
Computer Vision (Facial Landmark Detection, Image Morphing)
AI Model Training & Optimization (Bias Correction, Dataset Curation)
Interactive Systems Development (Real-Time AI Adjustment via Sliders)
Python (PyTorch, TensorFlow, OpenCV), Flask/FastAPI
Projection Mapping or Real-Time Image Processing (TouchDesigner, Unity, Processing)

Preferred Experience (Bonus):
-Experience in AI-driven art projects or interactive installations
-Experience integrating physical controllers (Arduino, Raspberry Pi) with AI systems

Project Scope:
Phase 1: Train & optimize AI facial generation model (2-3 weeks)
Phase 2: Develop interactive interface & real-time slider integration (2-3 weeks)
Phase 3: Connect system to projection mapping & finalize installation setup (2 weeks)

Budget: Open to discussion based on expertise and estimated workload.

Please share examples of relevant work, especially if you’ve worked on AI + art projects before!

Skills: Computer Vision, Neural Network, Visual Design

We are developing an advanced AI chatbot for a personal music manager leveraging LangChain and LangGraph to deliver intelligent, dynamic, and efficient conversational experiences. Our project involves integrating various LLMs, optimizing prompt engineering, managing vector stores like QDrant, and implementing real-time search functionalities. We are looking for a highly skilled AI chatbot developer with significant experience in this space to join us on an initial contract, with a strong possibility of transitioning into a full-time role.

Responsibilities:

Design, develop, and optimize an AI-powered chatbot using LangChain and LangGraph.

Implement advanced LLM orchestration techniques, including memory management, prompt engineering, and retrieval-augmented generation (RAG).

Integrate external data sources, APIs, and search tools like Tavily for real-time knowledge retrieval.

Manage and optimize vector stores (e.g., QDrant) for long-term memory and knowledge indexing.

Build a scalable and efficient architecture that balances performance and response times.

Troubleshoot and optimize chatbot performance, including response accuracy and latency.

Take initiative in problem-solving and proactively suggest improvements.

Work closely with our team to iterate and enhance the chatbot’s capabilities.

Requirements:

Significant experience in developing AI chatbots using LangChain and LangGraph.

Strong understanding of LLMs (GPT, DeepSeek, Gemini, etc.) and their strengths/limitations.

Proficiency in Python and experience working with cloud-based AI solutions.

Experience with vector databases like QDrant or Pinecone for long-term knowledge retrieval.

Familiarity with search APIs (e.g., Tavily) and integrating external real-time data sources.

Ability to build scalable and efficient architectures that manage heavy query loads.

Problem-solving mindset with the ability to take initiative and work independently.

Strong communication skills and ability to collaborate with a cross-functional team.

Nice-to-Have:

Experience with Kubernetes for deploying and managing AI models.

Familiarity with AI model fine-tuning and optimization techniques.

Background in knowledge graph-based AI applications.

Skills: Artificial Intelligence, langgraph, API, Deep Learning, Natural Language Processing, Chatbot Development

We are seeking an experienced freelancer to deploy an action recognition GSF model on a Jetson platform. The ideal candidate will have a strong background in machine learning and computer vision. You will be responsible for ensuring the model runs efficiently on Jetson hardware and optimizing performance for real-time action recognition. Experience with NVIDIA Jetson, TensorFlow, or PyTorch is required. If you have a passion for cutting-edge technology and can deliver results quickly, we would love to hear from you.

Skills: Python, Machine Learning, TensorFlow, Deep Learning, Computer Vision

We are seeking an experienced AI Video Analytics Developer to process image data captured by drones, specifically focusing on counting trees in a forest. The ideal candidate will preprocess this data and implement the SATLAS model on Jetson NX edge devices. Proficiency in AI, machine learning, and video analytics is essential. The project involves optimizing algorithms for real-time analytics and deploying solutions on edge computing hardware. If you have a strong background in AI development and experience with drone data, we want to hear from you!

Skills: Machine Learning, Python, Artificial Intelligence, TensorFlow, Deep Learning, Computer Vision

Project Overview
I have a car detection project built using YOLOv5 and need an experienced Computer Vision / Deep Learning Engineer to help debug and improve its performance. The model is trained but is facing issues with false positives, missed detections, and inconsistent confidence scores.

Issues to Fix:
False Positives & Missed Detections – The model is detecting background objects as cars and failing to detect small/occluded vehicles.
Speed Optimization – The model is running slower than expected on GPU (NVIDIA RTX 3080). Need help optimizing it for real-time detection.

Tech Stack:
Framework: PyTorch, YOLOv5
Dataset Format: COCO/Custom Annotations (LabelImg, Roboflow)
Deployment: Running inference on Jetson Nano / AWS EC2 with GPU / Local RTX 3080
Programming: Python, OpenCV, TensorRT (if optimization is needed)

Requirements:
Proven experience with YOLOv5 and PyTorch
Strong debugging skills for object detection models
Experience with NVIDIA GPUs, TensorRT, or ONNX is a plus
Ability to fine-tune models and improve accuracy
Familiarity with OpenCV for post-processing improvements

How to Apply:
Please include:

Your past experience with YOLOv5/object detection projects
Any similar projects you’ve worked on
Your approach to debugging object detection models

Skills: Python

You must have:
. Detailed knowledge and understanding of LLMs
. Advanced knowledge of using the OpenAI API
. Understand best methods for querying large datasets
. Setting up of models


I have a large dataset that I want to analyse using the openai API. I have some challenges around input tokens and needing to supply a large amount of classification data.

I need an expert to talk with and provide guidance on how to progress with my needs for analysing and categorising data.

Skills: Artificial Intelligence, Machine Learning, Deep Learning, Neural Network, Artificial Neural Network

We are the creators of a proprietary Intelligent Document Processing platform that automates data extraction from complex and messy unstructured documents. For over a decade, we’ve been building expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Neural Networks and much much more. We are building technology that is disrupting the data extraction space since 2017.

Now, Infrrd is looking for an expert Java interviewer to assist our team in screening candidates and helping us find some amazing talent.

Your responsibilities will include:

Thoroughly reviewing candidate resumes and job descriptions to formulate relevant interview questions.
Asking questions based on the job description to gain a thorough understanding of the candidate's skills, experience, and motivations.
Carefully listening to candidate responses, observing nonverbal cues, and asking follow-up questions to clarify any information.
Fostering a positive and respectful atmosphere for candidates throughout the interview process.
Allowing the candidate an opportunity to ask questions.

Skills: Candidate Interviewing, Communications, Data Structures, Problem Solving, Algorithms

We are seeking an AI expert to provide guidance on training machine learning models and setting up the necessary environments. The ideal candidate will also offer advice on implementing AI features effectively in our projects. Your expertise will play a critical role in enhancing our AI capabilities and ensuring successful deployment. If you have a strong background in AI and a passion for sharing knowledge, we would love to hear from you!

Skills: Python, Machine Learning, Artificial Intelligence, Deep Learning, TensorFlow

We are looking for an experienced Python and AI developer to optimize and fine-tune machine learning models for our application. The ideal candidate should have expertise in TensorFlow/PyTorch, data preprocessing, and model deployment. Responsibilities include improving model accuracy, optimizing performance, and integrating AI solutions into our existing pipeline. This position starts as a part-time contract, but if you deliver excellent results, it may lead to a long-term contract. If you're passionate about AI and enjoy working on cutting-edge technology, we’d love to hear from you!

Skills: Python, Machine Learning, Data Science, Deep Learning, TensorFlow, JavaScript

IMPORTANT REQURIEMENTS:
1. Must be a solo freelancer. Agencies will be rejected.
2. Must have a Bachelors (or greater) degree in Machine Learning
All other applications will be rejected.

ABOUT:

Are you a Machine Learning Engineer ready to flex your creative muscles?

Passionate about AI and eager to push the boundaries of what's possible?

If that sounds like you... keep reading!

We're developing a cutting-edge AI tool and need an experienced AI/ML engineer to to make improvements.

KEY RESPONSIBILITIES:
- ARCHITECT, TEST and IMPLEMENT working solutions to problems we're facing with the performance of our AI app.
- This will require strong problem solving skills, high levels of organization and expert level understanding of Machine Learning fundamentals.

TASKS:
1. Review & Approval: Review our existing fine tuned models.
Review:
- Datasets,
- Dataset formatting,
- System Prompts,
- Inputs

2. Look for issues or improvements
- Identify why we're experiencing certain issues.
- Define clearly the SPECIFIC, actionable solutions you will implement.

3. Once solutions are documented, over-see next round of fine-tuning.
- Check and approve all aspects from the datasets, formatting, system prompts
- Fine tune the model

4. Use an Evaluator to document measurable proof of improvement


Required Skills and Experience:
1. Machine Learning Expertise: Must be able to provide proof of technical knowledge, credentials and examples of REAL solutions to complex problems via previous work.
2. Data Handling Proficiency: Expertise in formatting and training AI models on large datasets.
3. Prompt Engineering, Fine Tuning, VectorDBs: Advanced skills in crafting and optimizing prompts for AI models, fine tuning with large datasets, creating effective vector databases with Pinecone (+others) for knowledgeable AI.

Candidate Requirements:
1. Fluency in English: Must be a NATIVE and fluent in English reading, writing, speaking.
2. Highly Organized: Must be highly detailed and provide updates in an organized manner that is easy for the team to digest.
3. Are you willing to study and learn? Our app serves a niche industry. The only way for you to do your job effectively will be to study specifics of the industry so you can recognize what a "good" result looks like.
4. Must use Upwork time tracker. Manual time billing is not allowed.


DO NOT SEND AN AI WRITTEN JOB APPLICATION. THOSE APPLICATIONS WILL BE IMMEDIATELY IGNORED.

Application Code Word: Include the word "Banana" in your application to confirm you've read the entire post.

Skills: Machine Learning, Python, Artificial Intelligence, Artificial Neural Network, Deep Learning, Neural Network

Description:
Hello! We’re developing Hello Drew, an AI-powered voice assistant for real estate. We need an expert in AI speech synthesis to make our AI voices indistinguishable from a real human.

Our current voices lack realism, and we want the most natural, emotionally expressive, and fluid AI voice available. If you're passionate about AI voice technology, prosody modeling, and neural TTS, we want to hear from you.

Responsibilities:
- Optimize neural speech models for hyper-realistic human-like conversations.
- Fine-tune models for intonation, pacing, and emotion to improve realism.
- Work with Eleven Labs, OpenAI TTS, Coqui, or custom neural TTS solutions.
- Reduce latency and unnatural robotic tone in real-time AI interactions.
- Implement expressive speech adjustments (pauses, inflection, emphasis).
- Ensure compatibility with Twilio voice calling and real estate integrations.
- Explore custom voice training and cloning to match agent-specific styles.

Ideal Skills & Experience:
- Strong background in TTS (Text-to-Speech), Deep Learning, NLP, and Phonetics
- Experience with speech synthesis models (Tacotron 2, FastSpeech, VITS, Eleven Labs API, OpenAI TTS)
- Familiarity with Twilio Voice API and real-time speech processing
- Understanding of audio signal processing and neural vocoders
- Proven ability to create human-like AI voice models
- Bonus: Experience working on customer-facing AI voice assistants

Budget: Open to negotiation based on expertise.
Location: Remote OK

Ready to help us redefine AI voice technology? Apply with examples of AI voices you've worked on!

Skills: US English Dialect, Male, Voice-Over, Artificial Intelligence, Voice Acting

We are seeking an experienced Deep Learning specialist to train our model using a provided dataset and code. You must have access to a high-performance GPU (RTX 4090 or above) with at least 32GB memory to ensure efficient training. The project involves optimizing the model, conducting experiments, and preparing a comprehensive technical report detailing methodologies, results, and insights.

Responsibilities:
• Train the deep learning model using the provided dataset and code.
• Optimize and refine the code as needed to achieve optimal performance.
• Conduct multiple training experiments and analyze the results.
• Prepare a detailed technical report summarizing the training process, results, and optimizations.

Requirements:
• Extensive experience in Deep Learning with hands-on coding expertise.
• Proven experience working with high-end GPUs for model training.
• Strong skills in debugging, optimizing, and refining deep learning code.
• Proficiency in TensorFlow, PyTorch, or similar frameworks.
• Deep understanding of model evaluation techniques and performance tuning.
• Strong technical writing skills to convey complex concepts effectively.

Deliverables:
1. Trained model along with relevant training logs.
2. Optimized code (if modifications were required).
3. Comprehensive technical report including:
• Model architecture and implementation details
• Training methodology and experimental setup
• Hyperparameter tuning strategies
• Performance evaluation and result analysis
• Insights, challenges, and recommendations for further improvements

Attached below is the proposed system architecture, let me know your thoughts!

Skills: Python, Machine Learning (ML), Tensorflow, Pytorch, Deep Learning

I need an expert to set up an automation for me and a fix on my calendar

Skills: Automation, Artificial Intelligence, Chatbot Development, Marketing Automation, Lead Generation, Python, Natural Language Processing, Neural Network, Machine Learning, Deep Learning

Hey! I need a simple e-commerce website where users can sign up, log in, and leave reviews on products. But I also want a system that can detect fake reviews in a cost-effective way—so no expensive APIs or GPUs.

I already have an NLP-based fake review detection model for consumers, but I want to extend it for website owners so they can track and manage fake reviews without high costs.

What I Need:
✅ User Authentication (Login & Logout)

Users should register and log in to leave reviews.
To prevent spam, only one review per product per user.
Track IP addresses and login activity to detect suspicious users.
✅ Basic E-Commerce Review System

Users can write, edit, and delete their own reviews.
Admin (site owner) can view, approve, or remove reviews.
✅ Fake Review Detection Without Expensive APIs or GPUs

IP Tracking & Device Fingerprinting → Spot spammy users.
Review Similarity Check → Detect copied/repetitive reviews.
User Reputation Score → Identify trustworthy vs. suspicious users.
Time & Behavior Analysis → Flag bulk or sudden review spikes.
Action-Based Moderation → Auto-hide flagged reviews & notify the admin.
✅ Explainable AI (XAI) for Transparency

Simple visual explanations (e.g., "Flagged due to duplicate IP").
Basic SHAP-based explanations (if feasible, lightweight).
✅ Admin Panel for Review Management

Admin can see flagged reviews with reasons.
Options to approve, delete, or keep an eye on suspicious reviews.
User-friendly dashboard, nothing too complex.

? Tech Stack:

Backend: Python (Flask/Django) or Node.js
Frontend: JavaScript, HTML, CSS
Database: MySQL/PostgreSQL
Auth System: JWT or session-based login
Fake Review Detection: Lightweight ML, NLP, or rule-based filtering
? IMPORTANT:
❌ No expensive APIs (like OpenAI, Google NLP, Perspective API, etc.)
❌ No heavy GPU-based deep learning (this must run on a simple hosting setup)
✅ Must be a cost-effective, practical solution

Skills: PHP, Python, Software Architecture, MySQL, HTML

We are seeking an AI expert to provide guidance on training machine learning models and setting up the necessary environments. The ideal candidate will also offer advice on implementing AI features effectively in our projects. Your expertise will play a critical role in enhancing our AI capabilities and ensuring successful deployment. If you have a strong background in AI and a passion for sharing knowledge, we would love to hear from you!

Skills: Python, Machine Learning, Artificial Intelligence, Deep Learning, TensorFlow

I've completed a sign language translation project utilizing a Transformer model. Unfortunately, it doesn't accurately predict both the expected gloss and text hypothesis during inference on the validation and testing sets. Your task is to update the project without altering the defined model architecture, to ensure accurate predictions.

Key Tasks:
- Fix the prediction issues for both gloss and text hypotheses.
- Optimize the project to improve translation evaluation metrics on the validation and testing datasets.

I've already attempted a variety of techniques, but have not been successful. The model's current predictions for both gloss and text hypotheses are incorrect. Hence, I need a specialist who can troubleshoot and enhance this model, with a focus on improving the translation evaluation metrics.

Skills: Machine Learning (ML), Deep Learning, Natural Language Processing, Convolutional Neural Network, Transformer Model

We are looking for an experienced AI/ML engineer with a deep understanding of Bayesian deep learning and quantum machine learning to develop next-generation predictive models. The ideal candidate should have a strong foundation in probabilistic modeling, variational inference, and experience leveraging quantum computing frameworks such as PennyLane or Qiskit for ML applications.

This role involves designing and implementing uncertainty-aware AI models, optimizing hybrid quantum-classical algorithms, and integrating them into real-world applications. Strong proficiency in Python, PyTorch/TensorFlow, and experience with non-standard architectures (e.g., Capsule Networks, Spiking Neural Networks) is a plus.

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

Freelance N8N & GPT-4 Automation Specialist

AlemX is looking for a specialist to automate project tracking by integrating Jira, Notion, ClickUp, and Slack with a GPT-4-powered reporting system.

A successful solution should:

Use N8N (or similar tools) for workflow automation.

Automate task updates, sprint tracking, and KPI monitoring.

Integrate OpenAI (GPT-4) for smart reporting and alerts.


Proposals should include relevant experience, approach, timeline, and budget expectations.

Skills: Machine Learning, Deep Learning

IMPORTANT REQURIEMENTS:
1. Must be a solo freelancer. Agencies will be rejected.
2. Must have a Bachelors (or greater) degree in Machine Learning / adjunct field
All other applications will be rejected.

(Active Masters Program participants are welcome as long as you can dedicate a minimum of 20 hours a week)

ABOUT:

Are you a Machine Learning Engineer ready to flex your creative muscles?

Passionate about AI and eager to push the boundaries of what's possible?

If that sounds like you... keep reading!

We're developing a cutting-edge AI tool and need an experienced AI/ML engineer to to make improvements.

KEY RESPONSIBILITIES:
- ARCHITECT, TEST and IMPLEMENT working solutions to problems we're facing with the performance of our AI app.
- This will require strong problem solving skills, high levels of organization and expert level understanding of Machine Learning fundamentals.

TASKS:
1. Review & Approval: Review our existing fine tuned models.
Review:
- Datasets,
- Dataset formatting,
- System Prompts,
- Inputs

2. Look for issues or improvements
- Identify why we're experiencing certain issues.
- Define clearly the SPECIFIC, actionable solutions you will implement.

3. Once solutions are documented, over-see next round of fine-tuning.
- Check and approve all aspects from the datasets, formatting, system prompts
- Fine tune the model

4. Use an Evaluator to document measurable proof of improvement


Required Skills and Experience:
1. Machine Learning Expertise: Must be able to provide proof of technical knowledge, credentials and examples of REAL solutions to complex problems via previous work.
2. Data Handling Proficiency: Expertise in formatting and training AI models on large datasets.
3. Prompt Engineering, Fine Tuning, VectorDBs: Advanced skills in crafting and optimizing prompts for AI models, fine tuning with large datasets, creating effective vector databases with Pinecone (+others) for knowledgeable AI.

Candidate Requirements:
1. Fluency in English: Must be a NATIVE and fluent in English reading, writing, speaking.
2. Highly Organized: Must be highly detailed and provide updates in an organized manner that is easy for the team to digest.
3. Are you willing to study and learn? Our app serves a niche industry. The only way for you to do your job effectively will be to study specifics of the industry so you can recognize what a "good" result looks like.
4. Must use Upwork time tracker. Manual time billing is not allowed.


DO NOT SEND AN AI WRITTEN JOB APPLICATION. THOSE APPLICATIONS WILL BE IMMEDIATELY IGNORED.

Application Code Word: Include the word "Banana" in your application to confirm you've read the entire post.

Skills: Machine Learning, Python, Artificial Intelligence, Artificial Neural Network, Deep Learning, Neural Network

### Job Description

We are looking for an experienced AI Developer proficient in artificial intelligence, deep learning, and advanced computer vision to develop a highly accurate recognition and classification system.

### 🔑 **Required Skills:**

- **Artificial Intelligence & Deep Learning:** Solid experience designing, training, and fine-tuning deep learning models (CNNs, Transformers).
- **Python Development:** Proficiency in Python scripting, debugging, and model deployment.
- **Computer Vision:** Expertise with OpenCV, YOLOv8 (Ultralytics), and optional knowledge of advanced segmentation tools (e.g., Segment Anything Model - SAM).
- **Embeddings & Similarity Search:** Ability to generate powerful embeddings with Vision Transformers (ViT), CLIP, or similar models, and manage vector databases like FAISS for rapid similarity searches.
- **Cursor or Similar IDEs:** Comfortable working within interactive coding environments such as Cursor or comparable IDEs for rapid development and testing.
- **Additional libraries:** Transformers, PyTorch, TensorFlow, scikit-image, numpy, Pillow.

### Responsibilities:
- Develop automated pipelines for image acquisition, preprocessing, and feature extraction.
- Implement embedding generation and similarity search mechanisms for classification tasks.
- Optimize model performance and validate accuracy (target precision 99%).
- Deliver structured, maintainable, and production-ready code.

### Ideal Candidate:
- Has proven experience delivering AI models with high accuracy (above 99%).
- Demonstrates strong analytical skills and attention to detail.
- Capable of independent problem-solving and effective communication.

### Please provide:
- Examples of relevant projects.
- Briefly describe your experience with similar technologies.

Skills: Neural Network, TensorFlow, Artificial Intelligence, Computer Vision, Keras, Machine Learning, Artificial Neural Network, PyTorch, Natural Language Processing, Deep Learning

We are seeking a highly skilled full stack developer to design and implement an AI agent. The ideal candidate will have a strong background in both front-end and back-end development, along with expertise in artificial intelligence and machine learning. You will work closely with our team to create innovative solutions that leverage cutting-edge technology. If you have a passion for AI and a proven track record in full stack development, we want to hear from you!

Skills: Python, Artificial Intelligence, Machine Learning, TensorFlow, Deep Learning

Looking for exp ML enginner. Who have experience with Pytorch profiler and other profiler to analyze inference models.

Skills: Python, TensorFlow, Machine Learning, Deep Learning, PyTorch, Natural Language Processing, Artificial Neural Network

Hi, we are a company dedicated to providing college students with opportunities for practical projects. We are currently looking to recruit mentors to guide our students through these projects.

Our mentors need to have real-world applications that simulate actual work experience. The project should go beyond a school project or a readily available Kaggle project.

The project will span approximately 8 weeks. The primary responsibility of our mentors is to design an 8-week curriculum aimed at helping students complete the project independently, for which they will be compensated. Initially, course material development is set at $50. However, once two students join the project and you conduct hourly tutoring sessions, your total compensation will increase to $160 after 8 weeks. We do not assume only two students will join per month—in fact, we anticipate around 20 students will be working on the same project each month. This brings your total potential earnings to approximately $800 per month as a steady income stream, based on an hourly rate of $10 per session.

Regardless of how well the materials are designed, some students may still require additional support from mentors. To address this, we offer an additional hourly rate for one-on-one mentoring, as we anticipate that many students will need several hours or more of personalized assistance.

If you are interested in our program, feel free to apply at any time!

Skills: Machine Learning, Deep Learning, Data Science

The best candidate for an AI-based Accident Analysis and Prevention System project should have a combination of technical expertise, problem-solving skills, and domain knowledge in AI, ML, and real-time systems. Here’s what makes an ideal candidate:

1. Strong AI & ML Expertise
• Proficiency in machine learning algorithms for risk prediction (e.g., decision trees, random forests, neural networks).
• Experience in computer vision for real-time accident detection using object detection models (YOLO, OpenCV).
• Knowledge of deep learning frameworks (TensorFlow, PyTorch) to build robust AI models.

2. Real-time Data Processing Skills
• Ability to work with IoT sensors, traffic cameras, and GPS data for real-time accident detection.
• Experience with big data handling using Spark, Kafka, or Hadoop for large-scale traffic data processing.

3. Software Development & Deployment
• Expertise in Python, Flask, FastAPI, or Django for building AI-driven applications.
• Experience in web-based dashboards using React, Angular, or Dash for real-time visualization.
• Knowledge of cloud platforms (AWS, GCP, Azure) for AI model deployment.

4. Data Analytics & Risk Assessment
• Strong statistical analysis and predictive modeling to assess accident risk factors.
• Ability to handle large datasets from real-world accident records and extract meaningful insights.

Skills: Java, Python, Software Architecture, Machine Learning (ML), HTML5

I am looking for an AI expert to help me choose the right AI model for my project. The ideal candidate should have experience working with different AI models like OpenAI’s GPT, Meta’s Llama, Anthropic’s Claude, and others.
I need guidance on:
Did research the strengths and limitations of different AI models
Choosing the best model based on my project’s requirements (accuracy, scalability, etc.)
Recommendations for fine-tuning or customization options
If you have hands-on experience with multiple AI models and can provide quick but effective guidance, please apply

Skills: Machine Learning, Python, Artificial Intelligence, TensorFlow, Deep Learning, Neural Network, Artificial Neural Network

I am in need of a DeepSeek model that can operate offline. The primary objective of this model will be to analyze numerical data and perform text classification tasks with it.

Key Requirements:
- Proficiency in developing and implementing DeepSeek models
- Extensive experience with numerical data analysis
- Demonstrable skills in text classification

Ideal Skills:
- Data Science
- Machine Learning
- Deep Learning
- Python Programming
- Data Analysis

Skills: Python, Statistics, Machine Learning (ML), Data Mining, R Programming Language

We are seeking a skilled professional to assist in predicting stock prices using advanced machine learning techniques and AI. The ideal candidate will have experience in financial modeling, algorithm development, and data analysis. You will be responsible for building predictive models, analyzing historical stock data, and providing insights to improve accuracy. If you are passionate about finance and technology, and possess problem-solving skills, we would love to hear from you! Stock prices follow trends and logic and I want to use AI to automate stock picking.

Skills: Python, Machine Learning, Data Science, TensorFlow, Deep Learning

We are seeking an experienced Deep Learning specialist to train our model using a provided dataset and code. You must have access to a high-performance GPU (RTX 4090 or above) with at least 32GB memory to ensure efficient training. The project involves optimizing the model, conducting experiments, and preparing a comprehensive technical report detailing methodologies, results, and insights.

Responsibilities:
• Train the deep learning model using the provided dataset and code.
• Optimize and refine the code as needed to achieve optimal performance.
• Conduct multiple training experiments and analyze the results.
• Prepare a detailed technical report summarizing the training process, results, and optimizations.

Requirements:
• Extensive experience in Deep Learning with hands-on coding expertise.
• Proven experience working with high-end GPUs for model training.
• Strong skills in debugging, optimizing, and refining deep learning code.
• Proficiency in TensorFlow, PyTorch, or similar frameworks.
• Deep understanding of model evaluation techniques and performance tuning.
• Strong technical writing skills to convey complex concepts effectively.

Deliverables:
1. Trained model along with relevant training logs.
2. Optimized code (if modifications were required).
3. Comprehensive technical report including:
• Model architecture and implementation details
• Training methodology and experimental setup
• Hyperparameter tuning strategies
• Performance evaluation and result analysis
• Insights, challenges, and recommendations for further improvements

Attached below is the proposed system architecture, let me know your thoughts!

Skills: Python, Machine Learning (ML), Tensorflow, Pytorch, Deep Learning