Deep Learning Freelance Jobs

Visionary AI Engineer & Code Whisperer
Are you passionate about revolutionizing how people access information and write code? Do you dream in algorithms and wake up with brilliant solutions? We're looking for a talented AI engineer to help us build the next generation of intelligent search and coding assistants.
About Us:
At InnovateAI, we're on a mission to make knowledge discovery and coding as intuitive as thinking. Our AI-powered platform combines cutting-edge search capabilities with intelligent code generation, helping users find answers and create software faster than ever before.
The Opportunity:
As our AI Engineer & Code Whisperer, you'll be at the forefront of innovation, working on:
Designing and implementing state-of-the-art AI algorithms for search optimization and code generation
Integrating and fine-tuning multiple AI models to ensure diverse and accurate outputs
Developing real-time web scraping and indexing features to keep our knowledge base current
Creating intuitive interfaces that make complex AI interactions feel magical
Collaborating with a passionate team to push the boundaries of what's possible in AI
What You'll Bring:
A degree in Computer Science, AI, or a related field (Master's preferred)
5+ years of experience in AI/ML development, with a focus on NLP and code generation
Proficiency in Python, JavaScript, and TypeScript
Experience with deep learning frameworks like TensorFlow or PyTorch
A track record of building AI-assisted applications or tools
Strong problem-solving skills and a thirst for learning
The ability to explain complex concepts in simple terms

Example : Perplexity , morphic.sh

We are seeking a skilled and experienced Machine Learning Engineer to lead a project focused on object detection using GAN or Yolo models. The primary goal of this project is to develop a robust system capable of detecting and counting the number of customers who visit our establishment daily. The successful candidate will work with a custom dataset provided by us, which includes images and corresponding annotations.

Responsibilities:
Develop and implement object detection algorithms using GAN or Yolo models.
Train and fine-tune the selected model on the custom dataset provided.
Conduct rigorous testing and evaluation of the trained model to ensure accuracy and reliability.
Optimize the model for real-time performance and scalability.
Collaborate with the team to integrate the developed solution into our existing infrastructure.

Requirements:
Proven experience in machine learning, particularly in the field of computer vision and object detection.
Proficiency in deep learning frameworks such as TensorFlow or PyTorch.
Experience working with GAN or Yolo models for object detection tasks.
Strong programming skills in Python and familiarity with relevant libraries (e.g., OpenCV).
Ability to work with custom datasets and perform data preprocessing, augmentation, and annotation.
Excellent problem-solving skills and attention to detail.
Effective communication and collaboration skills.

Nice to Have:
Experience deploying machine learning models in production environments.
Familiarity with cloud computing platforms (e.g., AWS, Google Cloud).
Knowledge of Docker and containerization technologies.
How to Apply:

If you are passionate about machine learning and have the skills required to tackle this exciting project, please submit your proposal outlining your relevant experience, approach to the task, and estimated timeline. Additionally, include any relevant portfolio or projects showcasing your expertise in machine learning and computer vision.

We look forward to collaborating with you to develop a cutting-edge solution for customer counting in our establishment.

This is a tutoring job to assist a university student in understanding the following topic:
This unit introduces fundamentals of deep learning and how it can solve problems in many areas, such as image classification, filter design and natural language processing. Neural networks are first described and how training can be achieved with backpropagation. Various forms of deep neural networks are developed, such as multilayer perceptrons, convolution neural networks and recurrent neural networks. The mathematics of stochastic optimization is used to interpret and understand the behavior and training of these networks. Programming approaches are discussed for training and deploying neural networks. Deep learning technologies and design examples are discussed in areas such as driverless cars, personal cognitive assistants and mastering of games such as GO.

On successful completion of the tutoring sessions, the student should be able to:
- Describe concepts and fundamentals of deep learning, such as the backpropagation algorithm and adversarial learning.
- Discern and appreciate various forms of deep neural networks, such as multilayer perceptrons, convolution neural networks and recurrent neural networks.
- Interpret and apply the mathematics of deep learning, such as stochastic optimization.
- Design deep learning solutions to problems in computer vision, natural language processing and signal processing. Examples are image classification, object detection, sequence modelling and filter design.
- Demonstrate the training and deployment of neural networks using a high level programming language.
- Appraise critically the sources of information and contents of scientific publications and choose relevant information.

The Tutor will review and support the student in his weekly quizzes and assignment to assure his understanding the topic and ready for it.

The following content will be used to assess the learner and check his understanding (all will be sent to the tutor to have a look at):
- 4 lab assessments to be done using python with the NumPy and matplotlib libraries
- 2 quizzes to test understanding
- 12 weekly practice questions to improve the understanding of mentioned objectives and topics
- 1 Assignment done near the end of the sessions

All related materials (lecturers, presentations, topics, etc) for the topics of the unit will be given to the tutor per week for a duration of 12 weeks.

As someone tasked to develop an ensemble of deep learning models, I am currently in need of expert assistance to forecast time series data. The main source of data is a year's worth of information that will be leveraged to generate accurate predictions. Though the specific time series variables required for the job were not specified, previous experience in similar tasks may entail the use of data such as historical sales records, seasonal patterns, or even external factors affecting the data, such as holidays or promotions.

Ideal skills include:
- Proficiency in deep learning models
- Experience in time series forecast
- Competence in time series split based cross validation

The successful execution of this project relies greatly on these aforementioned skills. Understanding the intricacies within a year-long data set and how it could possibly influence future patterns are but a few of the expertise we're looking for. With your technical acumen and my guidance, we'll be able to bring this project to fruition.

Skills: Python, Statistics, Mathematics, Tensorflow, Pytorch

I am seeking an expert in deep learning and computer vision to create a real-time virtual try-on system for a web platform.

Key Features:
- The system should allow users to try on a range of clothing items virtually.
- The experience should be real-time, offering a seamless try-on experience.

Skills and Experience:
- Proficiency in deep learning technologies, particularly for image processing.
- Strong background in computer vision and experience with virtual try-on systems.
- Prior experience developing web-based applications is a plus.
- A keen eye for detail and a creative approach to problem-solving will be highly valued in this project.

Create a Model (Python):
We have segmentation dataset of lot of images.
We need to convert those images into 3d model.
Create a website/Mobile app:

We need to create a website which will show all images in grid view.
On click of image it will open camera
camera should capture video of user. While capturing 3d model of that image (t-shirt) should be put on user body.

Skills: Django, Machine Learning (ML), Computer Vision, Deep Learning, Convolutional Neural Network

looking for an expert in :
GIS
Satellite imagery analysis
Object / shape detection
Image recognition
Machine learning

and related skills.

the project is about to detect environmental related activities / shapes.

if interested please text me back to discuss it in details.

thanks

We are seeking a skilled Generative AI Specialist to join our team. As a Generative AI Specialist, you will be responsible for developing and implementing cutting-edge algorithms and models to generate realistic and innovative outputs. You will collaborate with our research and development team to explore new techniques and improve existing generative AI systems. The ideal candidate should have a deep understanding of machine learning, neural networks, and statistical modeling. Strong programming skills in Python and experience with popular deep learning frameworks such as TensorFlow or PyTorch are required. Join us and contribute to the advancement of generative AI applications.

We are seeking a skilled Matlab expert to help us convert existing code that uses Q learning to use deep learning for allocation resource problem. The project requires expertise in both Q learning and deep learning algorithms. The ideal candidate should have a solid understanding of Matlab and experience in implementing machine learning algorithms. The tasks include modifying the existing code, integrating deep learning techniques, and optimizing the resource allocation process. This is a challenging project that offers an opportunity to work on cutting-edge technologies and contribute to solving real-world problems.

Skills required:
- Matlab
- Q learning
- Deep learning
- Machine learning
- Algorithm optimization

Hi, dear future colleague!

I would like to make a contract with you on porting our python code to C++. There will be lots of calculations and work with matrices. All the code base will be guided through and documentation provided.

We don’t need to port the model itself to C++ because we use tensorrt and deepstream api on Nvidia Jetson platform. Therefore, experience working with it (deep stream api) will be very useful. Overall experience writing code for the machine/deep learning projects on C++ Linux based platforms is very appreciated.

Also you have to understand OOP and make a clean code (all structure will be written for you beforehand, you should also follow the SOLID as much as possible). Basically right now the code is already structured in that way so all you need to do is implement that in C++.

Now how we will work, we will have an interview with you (if you could show me your code with relevant examples it will be very helpful) and then after we discuss our terms, we start working. I estimate that project to be done in around 1 week of work full-time. The faster the better, usage of ChatGpt or similar services is highly appreciated to speed up the process.

The job could become full time if you will show enough skill for that and interest.

Note!!! We will work only after signing an NDA, official contract and on the milestone based project. So, each project task will be discussed, the deadlines set and only then after task completion and confirmation we will do the payment. Also, we probably won’t start working right away, maybe a bit later in a week or 2.

Thank you for reading that and looking forward to hearing from you!

Job Title: Experienced C++ and CUDA Developer for AI Inference and Deployment
Description:
We are seeking a highly skilled C++ and CUDA developer with a strong background in AI inference and deployment. The task involves implementing the inference part of a deep learning project in C++ with CUDA.

Responsibilities:
Develop and implement AI inference code in C++ with CUDA.
Optimize performance for efficient execution.
Ensure seamless integration and deployment of the inference module.
Collaborate with our team to understand project requirements and constraints.

Requirements:
Proven experience in C++ and CUDA development.
Strong understanding of AI inference and deployment processes.
Experience with deep learning frameworks and models.
Ability to work independently and meet project deadlines.
Excellent problem-solving skills and attention to detail.
Effective communication skills for collaboration and regular updates.
Preferred Qualifications:
Experience with training and fine-tuning AI models.
Familiarity with image classification tasks and datasets.
Previous work on similar AI projects or frameworks.
Project Details:
Start Date: As soon as possible

How to Apply:
Please submit your proposal including:
A brief overview of your experience with C++ and CUDA.
Examples of previous projects involving AI inference and deployment.
An estimated timeline and cost for the initial task.
Availability for potential follow-up work involving model training.
We look forward to collaborating with a skilled developer who can help us achieve our project goals efficiently and effectively.

Description:

We are seeking an experienced AI Chatbot Developer to create a sophisticated chatbot for our business. The ideal candidate will have a strong background in AI technologies, natural language processing, and chatbot development.

Responsibilities:

Design, develop, and deploy an AI-driven chatbot for our website/application.
Integrate the chatbot with existing systems (e.g., CRM, support ticketing).
Ensure the chatbot provides accurate and relevant responses.
Develop conversational flows and improve natural language understanding.
Test and optimize the chatbot for various scenarios and user interactions.
Monitor performance and make necessary adjustments to enhance user experience.
Provide documentation and training on how to manage and update the chatbot.
Requirements:

Proven experience in developing AI chatbots with a portfolio of previous work.
Strong knowledge of natural language processing (NLP) technologies.
Proficiency in programming languages such as Python, JavaScript, or similar.
Experience with chatbot frameworks and platforms (e.g., Dialogflow, Microsoft Bot Framework, Rasa).
Ability to integrate chatbots with web services and APIs.
Excellent problem-solving skills and attention to detail.
Strong communication skills to collaborate with our team and provide regular updates.
Preferred:

Experience with machine learning and deep learning techniques.
Familiarity with cloud-based services (e.g., AWS, Azure).
Knowledge of additional languages other than English is a plus.

We look forward to collaborating with a talented developer.

We are a leading technical development firm specializing in AI and ML research and development. We provide custom deep learning models tailored to our clients' needs, typically built from scratch with minimal reliance on off-the-shelf packages. Our projects often involve sourcing open-source codebases from GitHub, related to state-of-the-art research papers from top-tier machine learning conferences. We meticulously review and modify the source code to develop bespoke models.

We are seeking computer vision experts for long-term, full-time collaborations, with a potential commitment of more than 40 hours per week.

Key Responsibilities:

Modify code from scratch and thoroughly read open-source codebases on GitHub.
Fix challenging bugs in large codebases.
Read highly technical research papers and replicate the research.
Conduct root cause analysis and enjoy the problem-solving process.
Perform independent research.
Utilize traditional computer vision methods using OpenCV and understand their methodologies.
Fine-tune large language models (LLMs).
Requirements:

Proven experience in modifying and developing code from scratch.
Strong ability to understand and navigate open-source codebases.
Expertise in debugging and resolving complex issues in large codebases.
Proficiency in reading, understanding, and replicating advanced research papers.
Strong problem-solving skills and enjoyment of root cause analysis.
Capability to conduct independent research.
Familiarity with traditional computer vision methods and OpenCV.
Experience in fine-tuning LLMs.
If you are passionate about computer vision and AI, and enjoy working on challenging and innovative projects, we would love to hear from you.

Please answer the following questions in your application:

Describe your experience modifying code from scratch and working with open-source codebases on GitHub.
Share an example of a challenging bug you fixed in a large codebase.
Discuss your experience with reading and replicating technical research papers.
Explain why you enjoy the process of root cause analysis.
Provide an example of independent research you have conducted.
Detail your familiarity with traditional computer vision methods and OpenCV.
Describe your experience with fine-tuning LLMs.
Looking forward to your applications.

Best regards,

I am seeking an experienced deep learning, Linux, and Python expert to enhance the performance of a medical image segmentation model that I have already built. The novel model is based on transformers and Multi-Layer Perceptron (MLP).

In my previous experiments, I tested various methods to improve the results, including adding different blocks such as Swin Transformer, Token-MLP, Vmamba, and Vss blocks. I also adjusted the input image size, changed the number of skip connections, modified the model's depth and learning rate, altered the number of epochs and batch size, and applied various data augmentation techniques. Additionally, I trained the model on the ImageNet 14K dataset. Unfortunately, none of these approaches have yielded the desired results!

I want to keep the current model, which achieved the highest mean Dice score of 83 in the baseline. My goal is to reach a mean Dice score of 84 or higher. Currently, I am stuck with results ranging between 76-78.
I've got a DEADLINE of 20th August 2024.
Requirements:

- Expertise in deep learning, particularly with transformers and MLP architectures.
- Proficiency in Linux and Python.
- Familiarity with the ISIC, Synapse, and ACDC datasets.
- Strong problem-solving skills and attention to detail.

Skills: Python, Linux, Machine Learning (ML), Deep Learning

I am seeking an experienced deep learning, Linux, and Python expert to enhance the performance of a medical image segmentation model that I have already built. The novel model is based on transformers and Multi-Layer Perceptron (MLP).

In my previous experiments, I tested various methods to improve the results, including adding different blocks such as Swin Transformer, Token-MLP, Vmamba, and Vss blocks. I also adjusted the input image size, changed the number of skip connections, modified the model's depth and learning rate, altered the number of epochs and batch size, and applied various data augmentation techniques. Additionally, I trained the model on the ImageNet 14K dataset. Unfortunately, none of these approaches have yielded the desired results!

I want to keep the current model, which achieved the highest mean Dice score of 83 in the baseline. My goal is to reach a mean Dice score of 84 or higher. Currently, I am stuck with results ranging between 76-78.
I've got a DEADLINE of 20th August 2024.
Requirements:

- Expertise in deep learning, particularly with transformers and MLP architectures.
- Proficiency in Linux and Python.
- Familiarity with the ISIC, Synapse, and ACDC datasets.
- Strong problem-solving skills and attention to detail.

Skills: Python, Linux, Machine Learning (ML), Deep Learning

We are looking for an expert in AI image generation to join our team. You will be responsible for developing and implementing cutting-edge algorithms to generate high-quality images using AI techniques. Your role will involve understanding client requirements, training machine learning models, and fine-tuning the algorithms to produce realistic and visually appealing images. The ideal candidate should have a strong background in computer vision, deep learning, and generative models. Proficiency in programming languages such as Python and experience with frameworks like TensorFlow or PyTorch is essential. Attention to detail and the ability to work independently are crucial. If you are passionate about AI and have a knack for creating stunning visuals, we would love to hear from you.

Job Description:
We are seeking a versatile and adaptable Data Scientist with expertise in a range of
technology domains, including Network Operations, Infrastructure Management,
Cloud Computing, MLOps,Deep Learning, NLP, DevOps, LLM infrastructure.
This role encompasses a wide range of responsibilities, including designing and
implementing cloud solutions,
building MLOps pipelines on cloud platforms (AWS, Azure), orchestrating CI/CD
pipelines using tools like GitLab CI and GitHub Actions,
and taking ownership of data pipeline and engineering infrastructure design to
support enterprise machine learning systems at scale.

Responsibilities:
Infra:
Manage cloud-based infrastructure on AWS and Azure, focusing on scalability and
efficiency.
Utilize containerization technologies like Docker and Kubernetes for application
deployment.
NetOps
Monitor and maintain network infrastructure, ensuring optimal performance and
security.
Implement load balancing solutions for efficient traffic distribution.
Infrastructure and Systems Management:
Cloud Computing:
Design and implement cloud solutions, including the development of MLOps
pipelines.
Ensure proper provisioning, resource management, and cost optimization in a cloud
environment.
MLOps and DevOps:
Orchestrate CI/CD pipelines using GitLab CI and GitHub Actions for streamlined
software delivery.
Collaborate with data scientists and engineers to operationalize and optimize data
science models.
Apply software engineering rigor, including CI/CD and automation, to machine
learning projects.

Data Pipelines and Engineering Infrastructure:
Design and develop data pipelines and engineering infrastructure to support
enterprise machine learning systems.
Transform offline models created by data scientists into production-ready systems.
Build scalable tools and services for machine learning training and inference.
Technology Evaluation and Integration:
Identify and evaluate new technologies to enhance the performance,
maintainability, and reliability of machine learning systems.
Develop custom integrations between cloud-based systems using APIs.
Proof-of-Concept Development:
Facilitate the development and deployment of proof-of-concept machine learning
systems.
Emphasize auditability, versioning, and data security during development.

Requirements:
Strong software engineering skills in complex, multi-language systems.
Proficiency in Python and comfort with Linux administration.
Experience working with cloud computing and database systems.
Expertise in building custom integrations between cloud-based systems using APIs.
Experience with containerization (Docker) and Kubernetes in cloud computing
environments.
Familiarity with data-oriented workflow orchestration frameworks (KubeFlow,
Airflow, Argo, etc.).
Ability to translate business needs into technical requirements.
Strong understanding of software testing, benchmarking, and continuous
integration.
Exposure to machine learning methodology and best practices.
Exposure to deep learning approaches and modeling frameworks (PyTorch,
TensorFlow, Keras, etc.).
If you are a dynamic engineer with a diverse skill set, from cloud computing to
MLOps and beyond, and you are eager to contribute to innovative projects in a
collaborative environment, we encourage you to apply for this challenging and
multifaceted role. Join our team and help us drive technological excellence across the board.

Here is a job description for a Conversation Skill Set Developer using Google Vertex AI:

Job Title: Conversation Skill Set Developer (Google Vertex AI)

Job Summary:

We are seeking an experienced Conversation Skill Set Developer to design, develop, and deploy conversational interfaces using Google Vertex AI. The ideal candidate will have expertise in natural language processing (NLP), dialogue management, and software development. The conversation skill set developer will work on creating conversational interfaces that provide exceptional user experiences and integrate with Google Vertex AI.

Responsibilities:

- Design and develop conversational interfaces using Google Vertex AI's conversation skill set
- Implement NLP and dialogue management capabilities to understand user intent and context
- Develop and integrate APIs for seamless interaction with Google Vertex AI and other systems
- Collaborate with cross-functional teams to ensure conversation skill set aligns with business requirements
- Test and refine conversation skill set for accuracy, performance, and user experience
- Stay up-to-date with Google Vertex AI's latest features and best practices

Requirements:

- 3+ years of experience in conversation AI, NLP, or software development
- Strong proficiency in programming languages such as Python, Java, or C++
- Experience with Google Vertex AI or similar conversational AI platforms
- Knowledge of NLP and dialogue management concepts
- Excellent problem-solving and debugging skills
- Strong collaboration and communication skills

Nice to Have:

- Experience with cloud-based technologies and infrastructure
- Familiarity with machine learning and deep learning concepts
- Knowledge of front-end development and UI/UX design principles
- Experience with agile development methodologies

Job Description:
We are seeking a highly skilled and experienced web and mobile app developer to create an innovative EdTech marketplace, "Ask That Expert". Our platform aims to connect users with experts across various fields, including mathematics and investment banking, through real- time video consultations, scheduling, and a robust review system. The ideal candidate will have a strong background in both front-end and back-end development and a passion for creating user-friendly, intuitive interfaces.

Responsibilities:
• Develop and design the "Ask That Expert" platform for both web and mobile applications.
• Implement a flexible scheduling system allowing users to book sessions conveniently.
• Integrate real-time video consultation capabilities for immediate interaction with
experts.
• Build a comprehensive review system for users to make informed decisions.
• Utilize deep-learning algorithms to match users with the most suitable experts.
• Ensure the platform is intuitive, easy to navigate, and provides a seamless user
experience.
• Collaborate with our team to understand project requirements and deliver high-quality
solutions.

Requirements:
• Proven experience in web and mobile app development (please provide portfolio or examples of past projects).
• Strong proficiency in front-end technologies (HTML, CSS, JavaScript, React, etc.).
• Extensive experience with back-end technologies (Node.js, Python, Ruby, etc.).
• Familiarity with video streaming and real-time communication technologies.
• Experience with machine learning or deep-learning integrations is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work collaboratively with a team.

Preferred Qualifications:
• Experience in developing EdTech platforms or similar marketplaces.
• Knowledge of UX/UI design principles and best practices.
• Familiarity with cloud services and deployment (AWS, Azure, etc.).
• Ability to provide ongoing support and maintenance post-launch.
Project Scope:
• Design and development of the "Ask That Expert" platform for both web and mobile.
• Integration of key features such as scheduling, on-demand video consultations, user
reviews, and deep-learning algorithms.
• Ensuring a user-friendly, intuitive interface for seamless navigation and user
satisfaction.

Budget:
• Please provide a detailed quote for the project, including any additional costs for post- launch support and maintenance.
Timeline:
• We aim to launch the platform within 3-6 months. Please include an estimated timeline in your proposal.

How to Apply:
• Submit your proposal with your portfolio, relevant experience, and a brief outline of how you would approach this project.
• Include any questions you have about the project or additional information you may need.
We look forward to collaborating with a talented developer who can help bring "Ask That Expert" to life and revolutionise the way users access expert advice.

We're looking for an experienced Object Detection expert to analyze electroluminescence images of photovoltaic modules. The goal is to create an algorithm that accurately detects defects. The ideal candidate has a strong background in computer vision, machine learning, and image analysis. Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch is necessary.

Skills required:
- Object Detection
- Computer Vision
- Machine Learning
- Image Analysis
- Python
- TensorFlow or PyTorch

JD of Quant Trader and Algo/AI/ML/DL/HFT Trading System Developer/Engineer


Responsibilities:

Formulate exclusive market-making (MM) strategies for the firm. Create in-house quantitative trading and risk management models aligning with MM Goal Priorities
Design, implement and deploy "high-frequency trading algorithms" in an active, live trading environment
Monitor and enhance quant strategies: Continuously assess model parameters and conduct back-testing of existing in-house MM strategies to align with MM Goal Priorities
Explore and identify new quantitative trading strategies aligned with MM Goals and Priorities
Explore trading ideas by monitoring trading systems and analyzing market data, market microstructure, and trading results for patterns
Conduct research and statistical analysis to refine and optimize trading signals for different markets
Maintain and improve upon existing simulation and research pipelines for accuracy and time to market
Work closely with other researchers and software engineers to drive innovation across the firm


Qualifications:

Over 5 years of professional experience in quantitative research/trading with a focus on Global/Regional MM Firms

Profound understanding of market structures in financial markets (e.g., equities, stock indexes, forex major and cross pairs, commodities, bonds, interest rates, metals)
Knowledge and outstanding experience of asset classes of equities, stock indexes, forex major and cross pairs, commodities, bonds, interest rates, metals, etc. are MUST
Knowledge and outstanding experience in stocks/equities, futures, and options are MUST
Demonstrated knowledge and understanding of the market and an understanding of how markets function and the opportunities present

Track record of strong trading performance is a MUST
Passion for trading, and a strong desire to continuously improve spots is a MUST

Familiarity and strength in coding, in Python, R, CUDA and other languages are MUST
Familiarity and strength in ICT concepts (time price model, OB, FVG, IFVG, NWOG, NDOG, liquidity, time and price theory, killzones, imbalances, RTH, ETH, IPDA, buy model, sell model, etc.) are MUST
Familiarity in institutional trading is a MUST
Knowledge and outstanding experience in HFT (high frequency trading) is a MUST
Familiarity with the large flows and liquidity that occur in the market and motivations for market behavior

Academic background in Computer Science, Statistics, Financial Engineering/Operation Research, or Mathematics (strong background in Computer Science and Statistics is a MUST)
Extensive proficiency in programming languages Python/R, CUDA, etc. is a MUST
Strong understanding and familiarity of High Frequency Trading (HFT) strategies, algo trading, machine learning, deep learning, and AI are MUST
Familiarity and strength in MT5 and writing MQL5 Program (CFD markets) are MUST
Familiarity in Interactive Brokers is a MUST

CFA, CQF, or FRM certification is a plus

Strong and responsible risk appetite
Strong communication skills and ability to work under pressure
Excellent communication, leadership, and interpersonal skills
Timely response and cooperation with the team is a MUST
Efficient and timely delivery of project is a MUST

Fluency in English is a MUST
Fluency in Mandarin is a STRONG PLUS

We also hope to see stable deliver of excellent performance and we are searching for committed candidates who are interested in establishing long-term cooperation and working relationships with us


Specific Algorithm Coding Instructions:

We have strategies and we need the engineer who is familiar with the CUDA language to write our strategies into an automated trading system, which will be running on MT5 first and then on Interactive Brokers later
The engineer is also responsible for working with the team to optimize the strategies' inputs and parameters to improve the strategies' performances
The output automated trading system needs to be able to work in all timeframes (from scalping and short-term trading to swing trading and position trading) and high frequency trading
The engineer needs to be familiar with HFT
The engineer needs to be able to add algo, ML, DL, and AI features to our automated trading system
The engineer needs to be familiar with financial market instruments of CFDs, futures, options, etc.

We're looking for an experienced Object Detection expert to analyze electroluminescence images of photovoltaic modules. The goal is to create an algorithm that accurately detects defects. The ideal candidate has a strong background in computer vision, machine learning, and image analysis. Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch is necessary.

Skills required:
- Object Detection
- Computer Vision
- Machine Learning
- Image Analysis
- Python
- TensorFlow or PyTorch

Pls provide samples of ur work related to similar projects
I am looking for an expert in data science and AI to assist with a 1-2 month project. I am designing a lightweight multimodal authentication system using EEG signals and iris. The datasets are decided on and available.

I am looking for someone with experience on:
1) Signal Processing (Since we are using EEG)
2) Basics in Computer Vision (For iris recognition)
3) AI using Python.

I am planning to test several fusion techniques (feature-level, score-level, etc.), and use GAN to increase dataset size.

Skills: Python, Machine Learning (ML), Data Science, Biometrics, Deep Learning

Pls provide samples of ur work related to similar projects
I am looking for an expert in data science and AI to assist with a 1-2 month project. I am designing a lightweight multimodal authentication system using EEG signals and iris. The datasets are decided on and available.

I am looking for someone with experience on:
1) Signal Processing (Since we are using EEG)
2) Basics in Computer Vision (For iris recognition)
3) AI using Python.

I am planning to test several fusion techniques (feature-level, score-level, etc.), and use GAN to increase dataset size.

Skills: Python, Machine Learning (ML), Data Science, Biometrics, Deep Learning

Seeking a skilled Machine Learning Engineer to fine-tune a Stable Diffusion model using Low-Rank Adaptation (LoRA) for a set of fashion outfits.

Key tasks
- Fine-tune a Stable Diffusion model using LoRA for specific fashion outfits.
- Preprocess and annotate a dataset of fashion images, ensuring high-quality inputs for training.
- Implement and optimize low-rank adaptations to improve model efficiency and performance.
- Collaborate with the fashion team to understand requirements and refine model outputs.
- Evaluate model performance and make necessary adjustments to improve accuracy and realism.
- Document the development process, providing clear and detailed reports on model improvements and outcomes.

Requirements
- Proven experience in machine learning, specifically in training and fine-tuning diffusion models.
- Strong understanding of Low-Rank Adaptation (LoRA) and DORA techniques.
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Experience with image processing and computer vision tasks.
- Familiarity with fashion datasets and an understanding of fashion image nuances.
- Excellent problem-solving skills and the ability to work independently.
- Strong communication skills to effectively collaborate with cross-functional teams.
- A portfolio of previous machine learning projects, preferably related to image generation or fashion technology.


Computer vision AI tracking food inspection

https://viso.ai/why-viso-suite/#platform

would like to utilize existing IP based camera (NEST or any vision camera. https://www.jai.com/products/sw-4010q-mcl to evaluate food passing on the production line to make sure they are feeding it correctly and no gaps or space and there is correct form. the attached picture is a machine that takes the food and creates 3 lanes. the people no matter how many times we train can't seem to feed it properly so we need to monitor when it starts to break down so we can trigger a loud sound or red light to go off to alert we can see they are not doing it properly so they learn others will be alerted something is off before it moves further down the lanes for cutting.

Attached photo 7-20 will show the gaps we are trying to avoid and track and make loud sound if it happens so operator fixes immediately and I can come out of the other room and find out who is not doing the job correct.

Building an ai chatbot for couple relationship couching

I want to build an ai web chatbot which acts as a couple relationship couch. This chatbot will have two main functionalities:

1. Able to store user input as memories - Here needs two ai agents, one (memory sentinel) to assess if the user input is relevant for relationship couching, output is strictly "False" or "True", and another ai agent (memory manager) is to manage the memory knowleddge base. When the memory sentinel tells the memory manager that the user input is relevant, the memory manager will condense it then decide to do one of the followings based on user input:
1. create a new knowledge point in the database
2. update one knowledge point in the database
3. delete one knowledge point in the database

2. Able to allow me as a developer to upload relationship papers/pdfs to the chatbot to increase domain specific knowledge. Here I want to use RAG to tackle this.

Then the flow of chatbot would be: after 10 times of user inputs, all the messages from the user will goes through memory sentinel, if the message is relevant to couple relationship couching, then the memory manager agent will condense the messages and list them as memory points and decide which action to take for each memory point. Accordingly the memory manager will update the knowledge database.

After these flows, it's time for the 3rd ai agent called couch master. The whole existing memory database will be prompt into the system prompt, also a rag retrieval from prepared vector database with relavant 5 messages, together with the recent 10 messages in the user session.

Regarding development. I am using Nextjs framework with an open source repo for chatbot ui (https://github.com/vercel/ai-chatbot/tree/main). For backend, I am using python to do the logic and use Flask api to integrate it into my nextjs framwork.

Here are some tech stack to be considered:
LLM to be used: memory sentinel: gpt-4o-mini; memory manager: gpt-4-turbo; couch master: gpt-4-turbo (Other open source model can be used but let's use openai's first
For embedding: consider: https://cohere.com/embed
Database for user input memory: graphql (not sure)
Vector Database for RAG: pinecone or supabase
For memory manager, you can use Langchain / langgraph
For auth: nextauth

LLM - NLP - RAG Pipeline – AI Agent Specialist with Python and React Skills to enhance AI Chatbots

Looking for a backend developer with exceptional Python and React skills.
Your expertise includes:
Reasoning in Natural Language Processing (NLP)
Backend Prompt Engineering
Data Cleansing - Preprocessing
Conversation Handler
Fine-tuning
Vector Embeddings
Embedding Models
Claude
OpenAI
Next.js
PostgreSQL
Facebook AI Similarity Search (Faiss)
AWS
In addition to the above, you possess top-level mathematical skills and are comfortable analyzing and understanding others' code quickly and efficiently (yes our code is clean).
We need passionate AI engineer with proven experience in building modern RAG applications for Conversational AI (Chatbot) systems.

Other attributes we are looking for:
Reliable, trustworthy, available!

AI Developer skilled in image processing, image training, and image generation model

Position Overview:

We need an AI Developer skilled in image processing, image training, and image generation models. The role involves designing, implementing, and optimizing algorithms for processing, analyzing, and generating images.

*Key Responsibilities:


* Develop and optimize image processing, image training, and image generation algorithms.
* Train and evaluate deep learning models for image tasks.
* Perform data preprocessing and augmentation.
* Collaborate with data scientists, engineers, and product managers.
* Stay updated with the latest AI and image processing technologies.


*Requirements:


* Proven experience as an AI Developer or similar role.
* Proficiency in Python and libraries like TensorFlow, PyTorch, or Keras.
* Knowledge of image processing tools such as OpenCV.
* Experience with image generation models (Stable Diffusion, OTT Diffusion).
* Familiarity with deep learning architectures (CNNs, GANs).
* Experience with cloud platforms (AWS, Google Cloud, Azure).
* Strong problem-solving skills and attention to detail.
* Excellent communication skills and ability to work collaboratively.
* 1-2 years of experience in AI development.
*Preferred Qualifications:*


Master’s or bachelor's. in Computer Science, AI, Machine Learning, or a related field.
Experience with TypeScript, MySQL, and big data technologies.
Familiarity with version control systems such as Git.

Why Join Lyn Media Group?

* Work on cutting-edge AI projects.
* Join a collaborative and supportive team.
* Opportunities for career growth.

AI Model Developer for Object Detection | Deep Learning | Drone Images

We are seeking a skilled AI model developer to assist us in building an advanced object detection model using deep learning techniques. The primary goal of this project is to develop a model capable of accurately detecting and localizing objects in images or video footage captured by drones. The successful candidate will have a strong background in deep learning algorithms, particularly in the area of computer vision.

Key Responsibilities 💪
- Design and implement a robust deep learning model for object detection
- Gather, preprocess, and annotate training data
- Train and fine-tune the model using appropriate neural network architectures
- Evaluate and optimize the model's performance

Required Skills ⚒️
- Proficiency in deep learning frameworks such as TensorFlow or PyTorch
- Strong understanding of convolutional neural networks (CNNs) and object detection algorithms
- Experience with image and video processing
- Familiarity with popular object detection models such as YOLO, SSD, or Faster R-CNN
- Excellent problem-solving and analytical skills

This is a medium-sized project with an estimated duration of 3 to 6 months. We are looking for a motivated AI model developer looking to further their skills who can deliver high-quality results within the given timeframe.

Please share your previous experience.
* This opportunity has the potential to develop into a longer term project or a full time employment role *

I have a project I would like to change the tensorflow version of and ensure it can be run in cuda 11.2 or later

Skills: Python, Machine Learning (ML), Neural Networks, Tensorflow, Deep Learning

Job Description
We are seeking a highly skilled AI developer to create a cutting-edge Chrome extension that revolutionizes relationship management. This innovative tool will analyze Gmail interactions, predict optimal follow-up times, integrate with LinkedIn, and even suggest potential replies.

Responsibilities:

Develop a Chrome extension using JavaScript, HTML, and CSS.
Integrate Gmail and LinkedIn APIs for data extraction and interaction.
Build sophisticated natural language processing (NLP) models for email analysis, sentiment analysis, and intent recognition.
Develop a predictive text model to suggest potential email replies based on email content and user behavior.
Design and implement a machine learning model to predict optimal follow-up times.
Create a user-friendly interface for the Chrome extension, including features for displaying contact information, interaction history, follow-up reminders, and predictive text suggestions.
Ensure data privacy and security compliance throughout the development process.
Test and refine the extension for optimal performance and user experience.
Required Skills:

Strong proficiency in JavaScript, HTML, and CSS.
Expertise in natural language processing (NLP) and machine learning.
Experience with Chrome extension development.
Familiarity with Gmail and LinkedIn APIs.
Knowledge of data structures, algorithms, and machine learning techniques.
Ability to build and deploy complex AI models.
Strong problem-solving and analytical skills.
Preferred Skills:

Experience with Python for data analysis and model development.
Knowledge of deep learning frameworks (TensorFlow, PyTorch).
Understanding of cloud-based platforms (Firebase, AWS, GCP).
Proficiency in frontend frameworks (React, Vue, Angular).
This is a unique opportunity to be at the forefront of AI-driven relationship management. We are looking for a passionate and innovative developer to join our team.

Budget: [Insert your budget]
Project Duration: [Insert desired project duration]

Please submit your portfolio and relevant experience with your proposal.

Keywords: Chrome extension, AI, NLP, machine learning, predictive text, Gmail API, LinkedIn API, JavaScript, HTML, CSS, data analysis, relationship management

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We are seeking a talented Machine Learning Developer to join our team. As a Machine Learning Developer, you will be responsible for creating and implementing machine learning algorithms to solve complex problems. You will collaborate with our data scientists and software engineers to develop innovative solutions that drive business growth. The ideal candidate should have a strong background in machine learning, deep learning, and data analysis. Additionally, you should be proficient in programming languages such as Python or R and have experience working with frameworks like TensorFlow or PyTorch. If you are passionate about leveraging AI technologies to deliver impactful results, we would love to hear from you.

Skills:
- Machine learning
- Deep learning
- Data analysis
- Python or R programming
- TensorFlow or PyTorch

I need an expert to help me fine tune my reinforcement learning PPO implementation in a custom environment. The primary improvement I'm looking for is stability.

ASAP.

Skills: Python, Machine Learning (ML), Deep Learning, Reinforcement Learning

I need an expert to help me fine tune my reinforcement learning PPO implementation in a custom environment. The primary improvement I'm looking for is stability.

ASAP.

Skills: Python, Machine Learning (ML), Deep Learning, Reinforcement Learning

We are looking for someone who can assist us with the implementation and replace one existing model with a specific transformer network architecture with PyTorch. We will provide datasets, relevant codes, and other necessary details for the project.

Skills: Machine Learning (ML), Pytorch, Deep Learning, Deep Neural Network, Transformer Model