Deep Learning Freelance Jobs

We are seeking a highly skilled AI Solutions Developer to collaborate with our team in creating innovative and customized AI-driven solutions for our clients. The ideal candidate will have expertise in developing intelligent chatbots, voice assistants, and other tailored AI applications to meet unique business needs.

Skills: Reinforcement Learning, Machine Learning, Deep Learning, R, Natural Language Processing, Python, Data Science, Computer Vision, C++, AWS Lambda, Optimization Modeling, Statistics

We are seeking an experienced consultant to assist our team in refining and optimizing our deep learning models, specifically focusing on DeepLabV3+ for extracting road network centerlines from orthophotos. Our developer has already achieved promising results, but there are still challenges we’d like to address with your expertise. Challenges we would like help with:
- Improving model accuracy and robustness
- Enhancing post-processing techniques for better centerline extraction
- Addressing issues related to data variability
- Refining training processes and hyperparameters

Happy to do an initial 1hr paid consultation to discuss in more detail and decide on the next steps.

The ideal candidate will have a strong background in deep learning and hands-on experience with model performance enhancements. Your expertise will help us identify bottlenecks, improve accuracy, and streamline our workflow. If you are passionate about AI and have a proven track record in model optimization, we would love to hear from you!

Skills: Deep Learning, Data Science, DeepLabV3+

I am looking for help with a computer vision project. It is mostly available on a GitHub page, but I need some modifications and additions to meet my needs.

The application is based on "Multiply" from GitHub. It currently works with sequences involving 2+ actors, but I need it to work with sequences involving a single actor as well as multiple actors.

I would prefer the application to work with JPG sequences only. FFmpeg integration is not needed.

The preprocessing stage must include the ability to export camera and SMPL-X data to FBX format and also to import camera and SMPL-X data from FBX. This is a must-have, as opposed to being limited to forced trace input → training.

We can use the example data available on GitHub to start, and I can also provide data for single-actor sequences.

For preprocessing, I want to integrate ViTPose and OpenPose to improve accuracy.

FBX import and export should be the preferred method for handling camera and SMPL-X data. I will handle the custom SMPL-X Maya rig and cameras on my side. If the trace camera and SMPL-X data can be exported to me as FBX (from the preprocessing stage), I will set up my system to parse the data into the trainer.

The goal is to ensure compatibility with my workflow, allowing seamless export/import of camera and SMPL-X data via FBX while enhancing the accuracy of preprocessing with ViTPose and OpenPose.

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

Are you a top-tier AI and Machine Learning expert with the skills, experience, and drive to revolutionize how businesses operate? We’re seeking a highly technical and innovative professional to analyze our growing business, identify transformative opportunities, and create AI-driven solutions that take us to the next level.

What You’ll Do:
• Strategic AI Integration: Collaborate with our head developer to design and implement AI and ML strategies that directly impact operations, revenue, and scalability.
• Data-Driven Innovation: Analyze large datasets from CRM, operations, and customer insights to identify patterns, trends, and opportunities for automation.
• Tool Development: Build and deploy AI-powered tools, dashboards, and models to enhance forecasting, decision-making, and process optimization.
• Automation Expertise: Design workflows and systems that leverage machine learning to reduce manual effort and improve accuracy and efficiency.
• Advanced Projections & Insights: Develop predictive models to generate actionable insights and long-term projections.
• Continuous Innovation: Stay ahead of the curve by researching and applying the latest advancements in AI, ML, and NLP (Natural Language Processing).

Technical Requirements:
• Expertise in programming languages such as Python, R, or JavaScript.
• Strong command of AI/ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, Keras, or OpenAI technologies.
• Experience with data engineering, including ETL processes, SQL, and data pipeline development.
• Proficiency in building and optimizing predictive models, classifiers, and clustering algorithms.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for scalable deployment.
• Strong understanding of NLP, computer vision, or reinforcement learning is a big plus.

What We’re Looking For:
• A proven track record of deploying AI and machine learning solutions that drive real business results.
• An analytical mindset with the ability to simplify complex problems and deliver actionable recommendations.
• Passion for innovation—someone who lives and breathes AI and automation.
• Strong communication skills to bridge the gap between technical execution and business strategy.

Why Join Us:
• Work at the intersection of technology and business growth, driving innovation in a fast-paced, results-driven environment.
• Collaborate directly with leadership and development teams to bring your ideas to life.
• Competitive compensation for high-caliber talent ready to make an impact.
• The opportunity to push boundaries and create groundbreaking AI solutions for a business with immense potential.

If you’re ready to apply your AI and machine learning expertise to transform our business, apply now with your resume, portfolio, and a brief explanation of how you’ve used AI to solve complex problems or drive growth in the past. Let’s create something extraordinary together!

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

I need an expert to help me build presentation slides for the following topic

Generative Artificial Intelligence and its spread across various sectors.

Skills: Neural Network, Artificial Neural Network, Deep Learning, Artificial Intelligence, Computer Vision, Machine Learning, TensorFlow, Deep Neural Network, Keras

Dear,

I am looking for a developer to help me create a program that integrates several pre-existing AI models and deep learning techniques to achieve seamless functionality. The goal of this program is to edit photos, specifically by detecting, removing, and adding objects (such as furniture) within an image. All the AI models required for this project are already available on GitHub, so nothing needs to be programmed from scratch. The primary task is to ensure these models work together effectively to achieve the desired functionality.

Features:
Photo Upload: Users should be able to upload an image to the program.
Object Detection: Objects (such as furniture) in the uploaded image need to be detected with contours (not bounding boxes). For this, I suggest using Detectron2 or a better alternative if you have one.
Object Selection: Users should be able to click on objects to select them. Selected objects should be visually marked, for example, with a colored contour or highlight.
Object Removal: Users should be able to remove selected objects from the image with a button. For background inpainting, I propose using LaMa or DeepFillv2.
Object Insertion: Users should be able to add new objects to the image. These objects must be displayed realistically, in the correct scale and dimensions. I suggest using ARKit or ARCore for this functionality.
Important Notes:
All AI models required (e.g., Detectron2, LaMa, DeepFillv2, ARKit/ARCore) can be downloaded from GitHub and used directly.
The main goal is to ensure these models are integrated and work seamlessly together within a single program.
If you have better suggestions for alternative models or techniques, I am open to your recommendations.
The user interface does not need to be perfect at this stage but should be intuitive enough to perform the outlined functions.
There is no strict deadline for this project.
Visual Examples:
To give you a better idea of what I’m envisioning, I will include three example images showing how the program’s functionality should look. These will be sent along with this message.

Questions:
Is this something you can develop? If so, could you provide an estimate of the time and cost required? Additionally, if you have any suggestions or foresee potential challenges, I would appreciate your insights.

I look forward to hearing from you!

Kind regards,
Caglar Yuksel

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

I'd like someone to do the following:
* Set up a vLLM endpoint using beam.cloud
* Help decide on an open source model that suits our use case
* Set up the endpoint for (1) openAi style chatbot responses and (2) returning image embedding.
* Help us get started fine tuning the model to our custom text file format

Skills: Python, Machine Learning, Deep Learning

Check the attached document for a better overview of the project info!

We are seeking an experienced UiPath freelancer to develop workflows for extracting data from Excel, PDF, Word, and Email files, converting it into structured formats (e.g., JSON, CSV, XML). This project serves as the foundation for a broader workflow automation initiative. If successful, there will be opportunities for ongoing development work to expand and enhance the system.
Provided Tools
We will supply:
UiPath Pro License: For workflow development.
UiPath Document Understanding: For advanced OCR and document processing.

Proposal Submission Guidelines
Freelancers are invited to submit proposals incorporating an hourly rate for the project. Along with your hourly rate, please provide the following details for each file type:
Milestone Plan 
Outline the steps for developing and testing workflows for each file type.
Provide a timeline and estimated effort in hours for each milestone.


Existing Tools and Solutions
Highlight any prebuilt workflows, templates, or components you plan to use.
The use of prebuilt tools or those sourced from the UiPath Marketplace will be considered positively and demonstrate efficiency.
Approach
Detail your methodology for each milestone, including: 
Tools and components (e.g., UiPath Document Understanding, OCR engines, plugins).
Error-handling mechanisms to ensure robustness and scalability.
Plans to adapt or customize any prebuilt tools.
Timeline
Specify the time required to: 
Develop or customize workflows for each file type.
Test and validate workflows using sample files provided.
Hourly Rate
Indicate your proposed hourly rate.
Provide a rough breakdown of total expected hours for each workflow type.

Evaluation Criteria
Proposals will be evaluated based on:
Hourly Rate and Estimated Time: Competitiveness and feasibility of proposed hours.
Optimisation: Use of prebuilt tools, templates, or UiPath Marketplace components.
Scalability: Workflows should handle large volumes of files efficiently.
Robustness: Strong error-handling and logging mechanisms.
Documentation: Clear and user-friendly workflow guides.

Submission Deadline
Task Deadline
Proposal Due 17.12.24
Project Start 06.01.25

Deliverables
UiPath Workflows: Functional workflows for each file type (PDF, Excel, Word, and Email).
Documentation: Clear user guides, workflow diagrams, and troubleshooting notes.
Test Cases: Validation results using sample files provided.

Ongoing Development Opportunities
If successful in this project, the freelancer may be considered for:
Expanding workflows to additional file types (e.g., CAD, GIS).
Enhancing workflows for advanced error handling, compliance mechanisms, and scalability.
Integrating anonymisation processes to ensure GDPR compliance.

By incorporating an hourly rate, this approach ensures flexibility while allowing us to evaluate proposals based on time efficiency, experience, and cost. We look forward to receiving your proposals!

This version emphasizes the hourly rate approach and invites freelancers to provide detailed estimates and methods for each milestone while allowing flexibility for negotiation.

Skills: Machine Learning (ML), Artificial Intelligence, Data Scraping, Data Extraction, Deep Learning

Check the attached document for a better overview of the project info!

We are seeking an experienced UiPath freelancer to develop workflows for extracting data from Excel, PDF, Word, and Email files, converting it into structured formats (e.g., JSON, CSV, XML). This project serves as the foundation for a broader workflow automation initiative. If successful, there will be opportunities for ongoing development work to expand and enhance the system.
Provided Tools
We will supply:
UiPath Pro License: For workflow development.
UiPath Document Understanding: For advanced OCR and document processing.

Proposal Submission Guidelines
Freelancers are invited to submit proposals incorporating an hourly rate for the project. Along with your hourly rate, please provide the following details for each file type:
Milestone Plan 
Outline the steps for developing and testing workflows for each file type.
Provide a timeline and estimated effort in hours for each milestone.


Existing Tools and Solutions
Highlight any prebuilt workflows, templates, or components you plan to use.
The use of prebuilt tools or those sourced from the UiPath Marketplace will be considered positively and demonstrate efficiency.
Approach
Detail your methodology for each milestone, including: 
Tools and components (e.g., UiPath Document Understanding, OCR engines, plugins).
Error-handling mechanisms to ensure robustness and scalability.
Plans to adapt or customize any prebuilt tools.
Timeline
Specify the time required to: 
Develop or customize workflows for each file type.
Test and validate workflows using sample files provided.
Hourly Rate
Indicate your proposed hourly rate.
Provide a rough breakdown of total expected hours for each workflow type.

Evaluation Criteria
Proposals will be evaluated based on:
Hourly Rate and Estimated Time: Competitiveness and feasibility of proposed hours.
Optimisation: Use of prebuilt tools, templates, or UiPath Marketplace components.
Scalability: Workflows should handle large volumes of files efficiently.
Robustness: Strong error-handling and logging mechanisms.
Documentation: Clear and user-friendly workflow guides.

Submission Deadline
Task Deadline
Proposal Due 17.12.24
Project Start 06.01.25

Deliverables
UiPath Workflows: Functional workflows for each file type (PDF, Excel, Word, and Email).
Documentation: Clear user guides, workflow diagrams, and troubleshooting notes.
Test Cases: Validation results using sample files provided.

Ongoing Development Opportunities
If successful in this project, the freelancer may be considered for:
Expanding workflows to additional file types (e.g., CAD, GIS).
Enhancing workflows for advanced error handling, compliance mechanisms, and scalability.
Integrating anonymisation processes to ensure GDPR compliance.

By incorporating an hourly rate, this approach ensures flexibility while allowing us to evaluate proposals based on time efficiency, experience, and cost. We look forward to receiving your proposals!

This version emphasizes the hourly rate approach and invites freelancers to provide detailed estimates and methods for each milestone while allowing flexibility for negotiation.

Skills: Machine Learning (ML), Artificial Intelligence, Data Scraping, Data Extraction, Deep Learning

We are urgently looking for an experienced Data Scientist with strong expertise in Machine Learning to help solve complex problems and create actionable insights from large datasets. The ideal candidate will have a deep understanding of machine learning algorithms, data preprocessing, and model deployment, as well as a proven track record in using these skills to deliver impactful results.

Responsibilities:

Build and train machine learning models using appropriate algorithms and techniques.
Analyze large datasets to extract meaningful insights and trends.
Implement end-to-end solutions from data cleaning, feature engineering, model training, to deployment.
Collaborate with cross-functional teams to understand business objectives and deliver machine learning-driven solutions.
Continuously improve models and systems to enhance performance and accuracy.
Requirements:

Strong proficiency in Python and relevant libraries (e.g., Scikit-learn, TensorFlow, Keras).
Experience with data preprocessing, feature engineering, and model evaluation techniques.
Proficiency in SQL and data manipulation.
Knowledge of cloud platforms (e.g., AWS, Azure) is a plus.
Excellent problem-solving skills and the ability to work under tight deadlines.
Strong communication skills to explain technical concepts to non-technical stakeholders.
If you’re passionate about machine learning and eager to work on exciting projects, please submit your proposal, and let’s discuss how we can work together to drive innovation.

This description is crafted to attract qualified candidates, highlighting the urgent nature of the project and the key skills required. Let me know if you would like to customize it further!

Skills: TensorFlow, Data Analysis, Artificial Neural Network, Deep Learning, Python Scikit-Learn, Machine Learning, Artificial Intelligence, Data Science, Python, R

We are seeking an experienced AWS Certified AI/ML Developer with a focus on chatbot development for project-based work. The ideal candidate will not only possess relevant AWS certifications but also have hands-on expertise in designing, deploying, and optimizing AI/ML models on AWS, specifically tailored for chatbot solutions. You will collaborate with cross-functional teams to build, train, and implement intelligent chatbot systems that enhance user experiences. Candidates must be able to provide proof of relevant AWS certifications.

Responsibilities:
- Design and develop AI/ML-driven chatbot solution using AWS services such as SageMaker, Lex, Lambda, and others.
- Create, train, and deploy machine learning models for NLP and conversational AI using AWS
- Optimize chatbot performance using real-time data, A/B testing, and machine learning techniques.
- Ensure chatbot integration with various platforms, including web and mobile applications.
- Collaborate with product, design, and backend teams to deliver seamless chatbot experiences.
- Monitor, analyze, and improve the performance of deployed chatbot models.
- Maintain AWS infrastructure for scalable AI/ML chatbot deployments.

Requirements:
- AWS Certified Machine Learning – Specialty certification (must provide certification proof).
- Proven experience with AWS AI/ML services (SageMaker, Lex, Lambda, etc.).
- Expertise in Natural Language Processing (NLP) and chatbot frameworks.
- Strong programming skills in Python, Node.js, or similar languages.
- Experience with data preprocessing, model training, evaluation, and deployment.
- Familiarity with conversational AI best practices and cloud architecture.
- Excellent problem-solving skills and ability to work independently on projects.

Preferred:
- Additional certifications in AWS or relevant cloud technologies (must provide proof).
- Experience with deep learning frameworks (TensorFlow, PyTorch).
- Prior experience in building customer support or service-oriented chatbots.
- Knowledge of data security, model optimization, and scaling in AWS environments.

Skills: Amazon Web Services, Machine Learning, Artificial Intelligence, TensorFlow, Python, Deep Learning

We need a capable engineer with hands-on experience in implementing Machine Learning systems to help me implement a system following the diagram and paper described at the following URL: https://tryondiffusion.github.io/

Please send a message with steps of implementation and timeline and we will select candidates based on suggestions

Skills: Artificial Intelligence, Machine Learning, Python, Deep Learning, Computer Vision, Neural Network, Data Science, Artificial Neural Network, TensorFlow, Data Analysis

NO AGENCIES PLEASE

I am looking for developers (more than one) for several ongoing projects, requiring skills in writing algorithms for
Looking for a Python ML/CV developer who has experience in the following areas:
- OpenCV
- camera calibration and 3D reconstruction
- streaming video processing (GStreamer, ffmpeg experience would be a plus)
- Tensorflow and Keras (convolutional neural networks)
- examples of your code in any of the areas would be a huge advantage

It would be an advantage:
- Published scientific articles related to the ML/CV field
- Python multiprocessing/multithreading advanced techniques
- C++/Python integration
- PyTorch
- Camera calibration
- Objects detection
- Objects 3D position estimation
- Streaming video (GStreamer, ffmpeg)


I am looking for someone who is communicative, gives suggestions, asks questions, and understands the product delivery requirements.

While responding, please write about the kind of AI projects you have done with the features and some insights on your experience with Camera calibration, Objects detection, object 3D position estimation, Streaming video (GStreamer, ffmpeg)

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

Job Description

We are seeking a talented and motivated AI Developer to join our team to develop cutting-edge technology for motion detection in CCTV systems. The ideal candidate will have a strong background in artificial intelligence, computer vision, and software development.

Responsibilities

Design and implement AI algorithms for real-time motion detection in CCTV footage.
Collaborate with cross-functional teams to integrate AI solutions into existing CCTV systems.
Optimize algorithms for performance and accuracy.
Conduct research on the latest trends in AI and computer vision technologies.
Test and validate models to ensure reliability and efficiency.
Provide technical support and documentation for the developed systems.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
Proven experience in AI development, particularly in computer vision.
Proficiency in programming languages such as Python, C++, or Java.
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
Experience with video processing and analysis.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.
Preferred Qualifications
Experience with CCTV systems and video surveillance technologies.
Knowledge of deep learning techniques for object detection and tracking.
Familiarity with cloud computing platforms (AWS, Azure, etc.).
Benefits
Competitive salary and performance-based bonuses.
Flexible working hours and remote work options.
Opportunities for professional development and training.
A dynamic and innovative work environment.

Skills: Artificial Intelligence, Machine Learning, Artificial Neural Network, Computer Vision

We are seeking an experienced AI/ML expert to create a cutting-edge solution for enhancing old literature books using concepts from the paper "Document Enhancement using Cycle-Consistent Diffusion Models (DECDM)" (link to paper). The project includes dataset preparation, model development, and a thorough comparison with state-of-the-art (SOTA) methods.

Project Deliverables:
Task 1:
Dataset Preparation:
Use the dataset referenced in the DECDM paper. (use dataset mentioned in this paper)(https://arxiv.org/abs/2311.09625)

Perform data annotations and augmentation to enrich the dataset for better model training.

+++++++++++++++++++++++++++++++++++++++++

Task 2:
Denoising and Super-Resolution/Enhancement Model:

Develop a deep learning-based model optimized for restoring aged and degraded pages of old literature books.
Address various noise types (e.g., stains, fading, artifacts) while ensuring the text remains clear and structurally intact.
Implement super-resolution techniques to enhance the resolution of scanned book pages, generating high-quality images for archiving and printing.

+++++++++++++++++++++++++++++++++++++++++

Task 3:
Architectural Novelty:

Introduce new modifications or innovative architectures to tackle literature restoration challenges.
Ensure measurable performance improvements using metrics such as PSNR, SSIM, and OCR accuracy.

+++++++++++++++++++++++++++++++++++++++++

Task 4:
Benchmarking and Comparison with SOTA Methods:

Benchmark the proposed solution against SOTA models for denoising and super-resolution.
Provide a detailed analysis of the results, highlighting advantages and trade-offs.

+++++++++++++++++++++++++++++++++++++++++

Task 5:
Mathematical Algorithm for the Architecture:

Develop mathematical representations of the architecture.
Include step-by-step algorithms with notations to explain the process.

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

We are looking for 4 simple conversational LM's to be made for training. These conversational models should be all connected to the same data base.

Model 1 - This model will be fed hours of video calls and a training rubric alongside a few basic prompts and this model will be a live training mode to teach new hires how to better understand our software. This will be our round 1 training of taking 5 days work of training material and feeding it so that a user can simply go to it and train.

Model 2 - This model will then do a live quiz on each trainee and determine based on what they should know give them a score. There will be a rubric given on how the live conversational quizzes should be.

Model 3 - This model will take into consideration what he previous user scored and where their weaknesses are and do a mock discovery call based on this and challenge them on their weaknesses. The model will make mock scenarios on why they would want the product, we will give a rubric on what the discovery call should be like.

Model 4 - This model will then do a mock demo to the trainee and based on the score and the issues they face in the discovery to make them demo the product even better.

Front End UI/UX Experience: We will require users to create a simple email and user name login along with first and last name, nothing fancy is needed and this is how the model will determine which party is which. We will need a simple backend system for admin to see each users score and status on where they are.

We will give all data needed for each model, this will be a conversational model each for the trainee to chat with. We also will need a toggle of "Difficulty Level" : Easy, Moderate, Hard, Extremely Challenging.

We would be using Chat GPT for the model, Mongo DB for the data base, a simple front end website, and AWS in which we all have already set up. This should be a quick and easy buildout as we have all the data needed to train the model.

We have several other models left that need to be completed. This needs to be a model they can chat back and forth with audio only.

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

we want to replace a human in a video with a 3D animated character, preserving the background and replicating the human’s motion

Like viggle, it uses an image and a video as input and replaces the character in the images with the video

this web tool https://viggle.ai so we have to create similar code or find similar other source

https://github.com/happydev0105/motionshop

Skills: Computer Vision, Artificial Intelligence, Neural Network, Deep Learning, Keras, Python

I am seeking a Deep Learning Specialist with expertise in NLP and data engineering to help me build a voicemail scoring model and set up a scalable data lake for my real estate business.

The system is already operational, with voicemail audio and transcripts from Google Voice feeding into Airtable for lead tracking and qualification through VAPI.

The immediate goal is twofold:

1. Build a **deep learning model to score voicemails** based on urgency, intent, and marketing data.

2. Design and implement a **future-ready data lake** to centralize data from voicemails, marketing campaigns, and future sources like qualification calls and underwriting metrics.

This project has a strict **four-week timeline** with clear weekly milestones to track progress.

**Expectations**
I need a specialist who can meet the following expectations:

**Data Readiness**:
- I currently have:
- **Hundreds of voicemails** (audio files and transcripts) stored in Airtable, with an average of **50+ new voicemails per day** being added.
- Marketing lists containing demographic, property, and campaign-specific data.
- You will:
- Build an initial voicemail scoring model using this dataset.
- Create a process to incorporate new voicemails into the training set for continuous learning.

**Scalable Data Lake Setup**:
- Design a modular data lake to store and manage:
- Voicemails (audio and transcripts).
- Marketing campaign data (lead source, property details).
- Qualification call transcripts (future data).
- Underwriting metrics (future data).
- Offers (future data).
- Deals (future data).
- Ensure the system is modular and extendable to handle future data streams.

**Voicemail Scoring Model**:
- Build a deep learning model to analyze voicemail transcriptions and assign scores based on:
- Voicemail content (tone, urgency, keywords, etc.).
- Integration with marketing list features (e.g., property details, source).
- Caller behaviors (e.g., repeated calls, follow-up urgency).
- Deliver outputs (e.g., lead scores and priority tags) ready for Airtable integration.

**Continuous Learning and Monitoring**:
- Set up processes to:
- Retain voicemails and metadata for periodic model retraining.
- Monitor model performance and recommend updates to improve accuracy.
- Ensure the system remains functional and reliable during deployment and learning phases by:
- Supporting fallback mechanisms for manual review during early stages.
- Providing documentation for retraining workflows and long-term usability.

**Milestones and Timeline (One Month)**
1. **Week 1: Data Lake Design and Initial Setup**
- Deliver a modular design for a scalable data lake.
- Set up ingestion pipelines for voicemails and marketing data.

2. **Week 2: Voicemail Scoring Model Development**
- Train a basic voicemail scoring model using existing voicemails and transcripts.
- Test scoring outputs with a small dataset.

3. **Week 3: Voicemail Scoring Model Refinement and Integration**
- Refine the model to include additional features (tone, urgency, caller behaviors).
- Ensure outputs (scores and tags) are structured for integration with Airtable.

4. **Week 4: Testing, Documentation, and Handoff**
- Perform end-to-end testing of the data lake and voicemail scoring system.
- Deliver documentation for the data lake, scoring model, and retraining process.
- Provide recommendations for future expansions (e.g., qualification calls, underwriting).

**Deliverables**
1. A **scalable data lake** with ingestion pipelines for voicemails, marketing data, and future sources.
2. A **trained voicemail scoring model** with metrics (e.g., accuracy, precision).
3. Integration-ready outputs (e.g., lead scores) delivered to Airtable.
4. Documentation on the data lake structure, scoring model, and recommendations for future improvements.

**Requirements**
- Proven experience with **deep learning for NLP tasks**.
- Strong background in **data engineering** and scalable systems design.
- Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and integration with tools like Airtable or VAPI.
- Excellent communication skills and ability to align technical solutions with business goals.

**Timeline**

- **Timeline**: Strict **one-month timeline** with weekly milestones.

**Why Work With Me?**
I value efficiency, professionalism, and results. While this is a focused project, success in this role could lead to future opportunities as we expand our systems.

**To Apply**
Please include:
1. A brief overview of your experience with deep learning and data engineering.
2. Examples of similar projects, especially involving voicemail or text scoring and data lake implementation.
3. Your availability and confirmation you can meet the one-month timeline.
4. Your proposed rate or budget for completing the deliverables.

You will work directly with me for vision, vectors, and weights, and my current automation expert to feed you the inputs you need.

Skills: Deep Learning

Perception based Adaptive Cruise Control | Neural Network model | CARLA

Estimate the distance between the host car and the lead car from video data and pass these estimated values to the ACC module.
Train a Neural Network model that can predict the distance to the lead car.
Train a Neural Network model to predict if the ado car is in the same lane as ego car or not.

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

We an Economic Media in Africa, serving all sectors in the continent. We are looking for a way to accelerate content production & gain more insigths in less time.

We envision to delegate to a a super trained AI tasks such as :
- Content selection
- Content enrichment (insights)
- Content fact checking ( sources checking)
-Content translation ( English & French)

You will be in charge of :
-You will train an AI on a Ediorial guidelines + a set of French articles ( we will send more over time)
-Suggesting best AI models for that mission
-Suggest a tech stack to meet production requirement and monthly server cost / infrastructure cost
-Maintain a github repository for the AI / code
-Make your article ready to be inserted to a Notion database table.

Skills: Python, Natural Language Processing, Content Writing, Deep Learning

I'm looking for a deep learning expert with a strong focus on data preprocessing, particularly with AI-related data. The primary task will be data cleaning.
so we have to create similar code or find similar other source

https://github.com/happydev0105/motionshop

we want to replace human from any video with a animated character

Experience:
- Proven track record in deep learning projects
- Extensive experience with AI data
- Prior work in data cleaning for deep learning models

Skills: Data Science, Artificial Intelligence, Deep Learning, Artificial Neural Network, Deep Neural Network

I'm looking for a deep learning expert with a strong focus on data preprocessing, particularly with AI-related data. The primary task will be data cleaning.
so we have to create similar code or find similar other source

https://github.com/happydev0105/motionshop

we want to replace human from any video with a animated character

Experience:
- Proven track record in deep learning projects
- Extensive experience with AI data
- Prior work in data cleaning for deep learning models

Skills: Data Science, Artificial Intelligence, Deep Learning, Artificial Neural Network, Deep Neural Network

I'm looking for a deep learning expert with a strong focus on data preprocessing, particularly with AI-related data. The primary task will be data cleaning.
so we have to create similar code or find similar other source

https://github.com/happydev0105/motionshop

we want to replace human from any video with a animated character

Experience:
- Proven track record in deep learning projects
- Extensive experience with AI data
- Prior work in data cleaning for deep learning models

Skills: Data Science, Artificial Intelligence, Deep Learning, Artificial Neural Network, Deep Neural Network

I'm looking for a deep learning expert with a strong focus on data preprocessing, particularly with AI-related data. The primary task will be data cleaning.
so we have to create similar code or find similar other source

https://github.com/happydev0105/motionshop

we want to replace human from any video with a animated character

Experience:
- Proven track record in deep learning projects
- Extensive experience with AI data
- Prior work in data cleaning for deep learning models

Skills: Data Science, Artificial Intelligence, Deep Learning, Artificial Neural Network, Deep Neural Network

I'm looking for a deep learning expert with a strong focus on data preprocessing, particularly with AI-related data. The primary task will be data cleaning.
so we have to create similar code or find similar other source

https://github.com/happydev0105/motionshop

we want to replace human from any video with a animated character

Experience:
- Proven track record in deep learning projects
- Extensive experience with AI data
- Prior work in data cleaning for deep learning models

Skills: Data Science, Artificial Intelligence, Deep Learning, Artificial Neural Network, Deep Neural Network

We are seeking an experienced developer to create a machine learning system that utilizes a wireless device attached to a moving object for tracking purposes. The ideal candidate will have a strong background in machine learning, sensor integration, and real-time data processing. You will be responsible for designing algorithms to accurately track the object's movement and ensure reliable data transmission. This project offers an exciting opportunity to work on innovative technology with real-world applications.

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

We are looking for a talented Deepfake Detection Engineer to design and develop advanced systems for identifying and analyzing deepfake content across images, audio, and video files. This role involves leveraging cutting-edge machine learning algorithms to detect synthetic media, generate confidence scores, and provide detailed reports that seamlessly integrate into investigative workflows. The ideal candidate will also work on cross-media correlation techniques to uncover hidden connections in multimedia data.

Key Responsibilities:
Develop and implement machine learning models to detect deepfake content in multimedia formats (images, audio, and video).
Generate and present confidence scores to indicate the likelihood of content being a deepfake.
Create detailed reporting tools that summarize findings and assist in investigative workflows.
Integrate deepfake detection results into investigation platforms for streamlined analysis and decision-making.
Design and implement cross-media correlation algorithms to identify hidden connections across different types of data.
Collaborate with cross-functional teams to optimize detection models for accuracy, scalability, and efficiency.

Required Skills and Qualifications:
Strong expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
Experience in multimedia analysis, including image, audio, and video processing.
Knowledge of deepfake detection techniques and adversarial media analysis.
Proficiency in programming languages such as Python or C++.
Familiarity with data visualization tools for generating detailed reports and dashboards.
Strong problem-solving skills and the ability to optimize systems for real-world applications.

Preferred Skills:
Experience with forensic analysis and investigation workflows.
Familiarity with cross-media correlation techniques and multimedia datasets.
Background in security or cybersecurity-focused projects.

Skills: Deep Learning, Machine Learning, Machine Learning Algorithm, Multimedia Analysis

We are seeking a skilled developer to design and implement Visual Language Models (VLM) for analyzing CCTV footage. This role involves leveraging advanced machine learning and computer vision techniques to enhance surveillance systems, enabling the detection of objects, activities, and behaviors. The ideal candidate will also develop functionalities for summarizing key events and creating advanced search and filtering capabilities based on detected data.

Key Responsibilities:
Develop and deploy VLMs to analyze CCTV footage for object, activity, and behavior detection.
Create systems to automatically summarize critical events in CCTV footage, enabling efficient user review.
Design and implement advanced search and filtering tools to help users locate specific events based on detected features.
Collaborate with data scientists and machine learning engineers to train and fine-tune VLMs for real-world applications.
Ensure the scalability and accuracy of the VLM-based system to handle large-scale video datasets.
Maintain detailed documentation for all systems and processes developed.

Required Skills and Qualifications:
Strong expertise in computer vision and machine learning, particularly in visual language models.
Proficiency in programming languages such as Python, along with experience in frameworks like TensorFlow or PyTorch.
Knowledge of video analytics, object detection, activity recognition, and behavior analysis techniques.
Experience in developing user-centric functionalities, such as event summarization and advanced search features.
Excellent problem-solving skills and the ability to optimize models for performance and scalability.

Preferred Skills:
Familiarity with working on surveillance systems or security-focused applications.
Prior experience with large-scale video data processing.

The solution is a permanent solution with no access to the internet and the tech stack used should be self-sufficient, not dependent on any external API's

Skills: Computer Vision, Deep Learning, Visual Language Model, VLM, Video Analyze

** Seeking Native Norwegian speakers with high-quality recording equipment to record their every-day speech **

We are seeking native Norwegian speaking individuals with clear and natural speech to contribute their voices to help build text-to-speech (TTS) and voice cloning technology. If you have a pleasant, clear, and articulate voice and are interested in being part of cutting-edge developments in the field of speech technology, we invite you to join our team for this project.

Important:
- We are looking for individuals with high quality recording equipment
- We are looking for native Norwegian speakers
- We are looking for individuals to use their conversational, every-day voice. We are not looking for "acting" or "voice-over" or "reading" voices. We are looking to capture the same voice you use when you hang out with your friends and family.
- You will be working with an English-speaking manager. While you do not need to be proficient in English, you will be asked to correspond in writing in English and read English directions.

Responsibilities:
- Record scripted and unscripted, natural speech for use in voice cloning and related speech projects and products
- No audio editing or processing is required. Just talk and submit!
- Provide 4-6 hours of audio, ensuring clarity and authenticity
- Follow provided guidelines for recording

Qualifications:
- Clear and natural speech
- Native Norwegian speakers
- High-quality recording equipment
- Commitment to delivering high-quality, unscripted speech recordings
- Strong attention to detail and a passion for contributing to innovative projects

Pay: $20-$70/hour. The pay is made via UpWork's hourly tracker contract. We are aiming for an audio recording efficiency rate of 1:1.5 or less, meaning that for every (1) hour you work, you'll be able to generate 40 minutes or more of audio. Feedback will be provided to ensure voice actors are working closely to the ideal efficiency rate.

How to Apply:
If you are interested in contributing your natural speech for voice cloning and are excited to be part of groundbreaking advancements in speech technology, please reply to our screening questions in Upwork, along with a sample recording showcasing your natural voice. Our team will review your application and contact you with further details. The sample can literally just be you saying something like, "Hey, this is so-and-so, I appreciate the opportunity and look forward to hearing from you." We just want to know what you sound like naturally. We are not looking for professional voice-over services.

About Deepgram:
At Deepgram, we’re on a mission to be the speech company — starting with providing the world’s best automatic speech recognition for business. We’ve scrapped traditional speech recognition methods for patented end-to-end deep learning speech models built specifically for the needs of each customer.

This allows enterprise data science and product teams to create next-generation speech analysis tools like voice assistants for doctors, or speech search tools for hard-to-understand types of speech, dialects etc.

Skills: Voice Recording, Audio Recording

** Seeking Native Danish speakers with high-quality recording equipment to record their every-day speech **

We are seeking native Danish speaking individuals with clear and natural speech to contribute their voices to help build text-to-speech (TTS) and voice cloning technology. If you have a pleasant, clear, and articulate voice and are interested in being part of cutting-edge developments in the field of speech technology, we invite you to join our team for this project.

Important:
- We are looking for individuals with high quality recording equipment
- We are looking for native Danish speakers
- We are looking for individuals to use their conversational, every-day voice. We are not looking for "acting" or "voice-over" or "reading" voices. We are looking to capture the same voice you use when you hang out with your friends and family.
- You will be working with an English-speaking manager. While you do not need to be proficient in English, you will be asked to correspond in writing in English and read English directions.

Responsibilities:
- Record scripted and unscripted, natural speech for use in voice cloning and related speech projects and products
- No audio editing or processing is required. Just talk and submit!
- Provide 4-6 hours of audio, ensuring clarity and authenticity
- Follow provided guidelines for recording

Qualifications:
- Clear and natural speech
- Native Danish speakers
- High-quality recording equipment
- Commitment to delivering high-quality, unscripted speech recordings
- Strong attention to detail and a passion for contributing to innovative projects

Pay: $20-$70/hour. The pay is made via UpWork's hourly tracker contract. We are aiming for an audio recording efficiency rate of 1:1.5 or less, meaning that for every (1) hour you work, you'll be able to generate 40 minutes or more of audio. Feedback will be provided to ensure voice actors are working closely to the ideal efficiency rate.

How to Apply:
If you are interested in contributing your natural speech for voice cloning and are excited to be part of groundbreaking advancements in speech technology, please reply to our screening questions in Upwork, along with a sample recording showcasing your natural voice. Our team will review your application and contact you with further details. The sample can literally just be you saying something like, "Hey, this is so-and-so, I appreciate the opportunity and look forward to hearing from you." We just want to know what you sound like naturally. We are not looking for professional voice-over services.

About Deepgram:
At Deepgram, we’re on a mission to be the speech company — starting with providing the world’s best automatic speech recognition for business. We’ve scrapped traditional speech recognition methods for patented end-to-end deep learning speech models built specifically for the needs of each customer.

This allows enterprise data science and product teams to create next-generation speech analysis tools like voice assistants for doctors, or speech search tools for hard-to-understand types of speech, dialects etc.

Skills: Voice Recording, Audio Recording