Top Machine Learning Jobs

Are you passionate about cutting-edge machine learning and artificial intelligence technologies? Do you have a deep understanding of TensorFlow and its applications in real-world scenarios? We are seeking a highly skilled and motivated TensorFlow Expert to join our dynamic and innovative team.

Job Overview:

As a TensorFlow Expert, you will play a pivotal role in advancing our organization's machine learning capabilities. Your primary responsibility will be to design, develop, and optimize TensorFlow-based models and algorithms to solve complex business problems. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to build scalable and efficient machine learning solutions.

Key Responsibilities:

Model Development: Design, implement, and fine-tune deep learning models using TensorFlow to address specific business challenges. These models may include various architectures like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformer models, etc.

Data Preprocessing: Clean, preprocess, and transform data to ensure its suitability for training machine learning models. This step may involve handling missing data, feature engineering, and data augmentation techniques.

Hyperparameter Tuning: Optimize model performance by fine-tuning hyperparameters, conducting experiments, and employing techniques like grid search or Bayesian optimization.

Model Deployment: Integrate TensorFlow models into production environments, ensuring scalability, reliability, and real-time performance. Collaborate with DevOps and software engineering teams to deploy models efficiently.

Model Evaluation: Implement and execute rigorous evaluation strategies to assess the performance of machine learning models. Analyze and interpret results to make data-driven decisions.

Research and Innovation: Stay up-to-date with the latest advancements in machine learning, deep learning, and TensorFlow-related technologies. Propose and explore new approaches to solve business challenges effectively.

Documentation: Create clear and comprehensive documentation for models, algorithms, and workflows, making it accessible to both technical and non-technical stakeholders.

Mentoring and Knowledge Sharing: Mentor junior members of the team, sharing your expertise in TensorFlow and best practices for machine learning development.

Requirements:

Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or related fields.

Proven hands-on experience with TensorFlow, building and deploying deep learning models for real-world applications.

Solid understanding of machine learning principles, neural networks, and various architectures.

Proficiency in programming languages such as Python and libraries commonly used in the machine learning ecosystem (NumPy, Pandas, etc.).

Familiarity with GPU acceleration and distributed computing for training large-scale models.

Experience with cloud platforms (AWS, GCP, or Azure) for model deployment and management is a plus.

Strong problem-solving skills, analytical thinking, and attention to detail.

Excellent communication and teamwork abilities, with a passion for collaborating with cross-functional teams.

Join us in shaping the future of AI and machine learning with TensorFlow!

Our Business and Summary of Role

At D-STAX, we are looking to revolutionise the real estate industry by building a platform that facilitates tokenisation of real estate assets and hence allowing individuals to invest in fractions of properties, addressing the issue of ever increasing property prices and our generation being “a generation of renters”. Our platform will be a 24/7 global live exchange, trading tokens across all jurisdictions worldwide, and fundamentally becoming one of the world’s first digital tokenised asset exchanges.

One of our main visions for the platform is the ability to completely digitise the previously manual and bureaucratic end-to-end process of selling a property via traditional means. Property owners will be able to upload their documents, images, and property details in a matter of minutes, and the tokenisation of their asset(s) will be orchestrated via smart contracts using a custom Blockchain architecture instantly. Adhering to this theme, we will also be implementing an automated valuation model, based on comparison to large datasets of properties sourced via APIs and public sources, to further reduce the time required to list a property and to address the time lag and subjectivity issues associated with dealing with real estate agents via traditional means. We will also endeavour to provide class-leading market insights to prospective investors during several stages of the user journey, such as forecasting of ROI for properties that they are interested in, advisory services based on performance, and recommendations engine to enhance personalisation and hence maximise engagement on the platform.

We are seeking data scientists to join our data team to drive these valuation and market insights capabilities, which will be crucial to improving the user journey, maximising engagement and hence investments on the platform, and fundamentally driving us to make better decisions at all echelons of the business backed by objective data-driven findings.

The ideal candidate will be an expert in web scraping in Python to source public data, machine learning and artificial intelligence-based statistical modelling to transform data into interpretable findings in the form of valuations and aggregate insights to be displayed on our platform, will be familiar in graph databases such as Neo4J, and will have experience in productionising workflows using Amazon Web Services (AWS).

Your primary responsibilities will include finding and scraping relevant property-related data, sorting the data in a usable format for modelling, running machine learning models on this data, and productionising the findings using workflows on AWS Step Functions and Neo4J to maximise efficiency.

Responsibilities

-Work with Chief Data Officer to identify key metrics, opportunities, and data sources to build, improve, and iterate upon valuation model and market insights

- Build, deploy, and maintain data extraction and modelling workflows, and back-end infrastructure for the product development pipeline

- Perform data extraction, exploration, and analysis

- Create data visualisations and reports to update the executive team at regular intervals to assess progress and discuss further developments

- Design, train, and implement machine learning algorithms to drive the valuation model and market insights products

- Hybridise and aggregate results from multiple algorithms to account for data variety

Job Qualifications and Skill Sets

- Quantitative background in data science, statistics, computer science, mathematics, engineering etc.:

o Ideally a degree in any of the above however extensive experience in professional services will be considered in lieu of and/or in addition to this.

- Proficiency in the following:

o Python

 Web scraping (BeautifulSoup and Selenium)

 Statistical modelling packages such as scikit, keras, etc.

o Amazon Web Services (AWS) – specifically Lambda, Step Functions, API Gateway, and Sagemaker

o Graph databases such as Neo4J (ability to store, pull/push, and utilise data from)

- Expertise in machine learning and artificial intelligence:

o Complex regression and classification algorithms

o Natural Language Processing (NLP)

- Familiarity with cloud-based infrastructure

Expectations + Working Style

- Full time commitment

- Flexible working hours, however may need to be required to attend calls at particular times to present to executive/advisory board.

- Regular updates and catch-ups with CDO r/e progress

Our Business and Summary of Role

At D-STAX, we are looking to revolutionise the real estate industry by building a platform that facilitates tokenisation of real estate assets and hence allowing individuals to invest in fractions of properties, addressing the issue of ever increasing property prices and our generation being “a generation of renters”. Our platform will be a 24/7 global live exchange, trading tokens across all jurisdictions worldwide, and fundamentally becoming one of the world’s first digital tokenised asset exchanges.

One of our main visions for the platform is the ability to completely digitise the previously manual and bureaucratic end-to-end process of selling a property via traditional means. Property owners will be able to upload their documents, images, and property details in a matter of minutes, and the tokenisation of their asset(s) will be orchestrated via smart contracts using a custom Blockchain architecture instantly. Adhering to this theme, we will also be implementing an automated valuation model, based on comparison to large datasets of properties sourced via APIs and public sources, to further reduce the time required to list a property and to address the time lag and subjectivity issues associated with dealing with real estate agents via traditional means. We will also endeavour to provide class-leading market insights to prospective investors during several stages of the user journey, such as forecasting of ROI for properties that they are interested in, advisory services based on performance, and recommendations engine to enhance personalisation and hence maximise engagement on the platform.

We are seeking data scientists to join our data team to drive these valuation and market insights capabilities, which will be crucial to improving the user journey, maximising engagement and hence investments on the platform, and fundamentally driving us to make better decisions at all echelons of the business backed by objective data-driven findings.

The ideal candidate will be an expert in web scraping in Python to source public data, machine learning and artificial intelligence-based statistical modelling to transform data into interpretable findings in the form of valuations and aggregate insights to be displayed on our platform, will be familiar in graph databases such as Neo4J, and will have experience in productionising workflows using Amazon Web Services (AWS).

Your primary responsibilities will include finding and scraping relevant property-related data, sorting the data in a usable format for modelling, running machine learning models on this data, and productionising the findings using workflows on AWS Step Functions and Neo4J to maximise efficiency.

Responsibilities

-Work with Chief Data Officer to identify key metrics, opportunities, and data sources to build, improve, and iterate upon valuation model and market insights

- Build, deploy, and maintain data extraction and modelling workflows, and back-end infrastructure for the product development pipeline

- Perform data extraction, exploration, and analysis

- Create data visualisations and reports to update the executive team at regular intervals to assess progress and discuss further developments

- Design, train, and implement machine learning algorithms to drive the valuation model and market insights products

- Hybridise and aggregate results from multiple algorithms to account for data variety

Job Qualifications and Skill Sets

- Quantitative background in data science, statistics, computer science, mathematics, engineering etc.:

o Ideally a degree in any of the above however extensive experience in professional services will be considered in lieu of and/or in addition to this.

- Proficiency in the following:

o Python

 Web scraping (BeautifulSoup and Selenium)

 Statistical modelling packages such as scikit, keras, etc.

o Amazon Web Services (AWS) – specifically Lambda, Step Functions, API Gateway, and Sagemaker

o Graph databases such as Neo4J (ability to store, pull/push, and utilise data from)

- Expertise in machine learning and artificial intelligence:

o Complex regression and classification algorithms

o Natural Language Processing (NLP)

- Familiarity with cloud-based infrastructure

Expectations + Working Style

- Full time commitment

- Flexible working hours, however may need to be required to attend calls at particular times to present to executive/advisory board.

- Regular updates and catch-ups with CDO r/e progress

Project Title: LLMs Application Development using FlowiseAI.com Technology and OpenAI's ChatGPT API for Document Interpretation, Internal Knowledge Base Creation, and Bing Search API Integration

Project Description:

We are seeking a skilled professional who can leverage FlowiseAI.com's technology and integrate it with OpenAI's ChatGPT API to develop a new LLMs application. This application should be capable of interpreting and understanding various document formats such as PDF, Word, TXT, as well as web links. It should allow customers to upload these documents or links to build their internal knowledge base. Additionally, the application needs to integrate Bing's search API.

Key Responsibilities:

Document and Web Link Interpretation: The candidate will need to develop an application that can understand and extract insights from various document formats (such as PDF, Word, TXT) and web links. The application should be able to interpret text, diagrams, and images, producing valuable and understandable summaries of the content.

Internal Knowledge Base Creation: The candidate will need to develop a feature that allows customers to upload documents such as PDF, Word, TXT, or web links to build their internal knowledge base.

Bing Search API Integration: The candidate needs to integrate Bing's search API into our application. This feature should allow users to search the internet directly from our application, prioritizing content from the user's own knowledge base in the search results.

Use of OpenAI ChatGPT API: The candidate should have experience with OpenAI's ChatGPT API and be able to effectively leverage it to enhance our application's functionalities.

Testing and Debugging: The candidate should rigorously test the new application for any bugs or inconsistencies and make the necessary fixes.

Documentation: The candidate should provide detailed documentation on how to use and maintain the new application, including all its new features.

Skills Required:

Strong understanding of API development and integration

Extensive experience in application development, particularly in LLMs apps

Proficient in AI algorithms and machine learning, specifically as it pertains to language understanding

Experience with Bing Search API and OpenAI's ChatGPT API

Excellent problem-solving skills

Strong attention to detail

Ability to work independently

Application Instructions:

Interested candidates should provide a cover letter detailing their experience with similar projects, their approach to this particular project, and their expected timelines for completion.

Applicants who can provide samples of past work, particularly involving document interpretation, internal knowledge base creation, Bing API integration, and use of OpenAI's ChatGPT API, will be given preference.

We look forward to your proposals and potentially collaborating with you on this exciting project. Thank you!

Project Title: LLMs Application Development using FlowiseAI.com Technology and OpenAI's ChatGPT API for Document Interpretation, Internal Knowledge Base Creation, and Bing Search API Integration

Project Description:

We are seeking a skilled professional who can leverage FlowiseAI.com's technology and integrate it with OpenAI's ChatGPT API to develop a new LLMs application. This application should be capable of interpreting and understanding various document formats such as PDF, Word, TXT, as well as web links. It should allow customers to upload these documents or links to build their internal knowledge base. Additionally, the application needs to integrate Bing's search API.

Key Responsibilities:

Document and Web Link Interpretation: The candidate will need to develop an application that can understand and extract insights from various document formats (such as PDF, Word, TXT) and web links. The application should be able to interpret text, diagrams, and images, producing valuable and understandable summaries of the content.

Internal Knowledge Base Creation: The candidate will need to develop a feature that allows customers to upload documents such as PDF, Word, TXT, or web links to build their internal knowledge base.

Bing Search API Integration: The candidate needs to integrate Bing's search API into our application. This feature should allow users to search the internet directly from our application, prioritizing content from the user's own knowledge base in the search results.

Use of OpenAI ChatGPT API: The candidate should have experience with OpenAI's ChatGPT API and be able to effectively leverage it to enhance our application's functionalities.

Testing and Debugging: The candidate should rigorously test the new application for any bugs or inconsistencies and make the necessary fixes.

Documentation: The candidate should provide detailed documentation on how to use and maintain the new application, including all its new features.

Skills Required:

Strong understanding of API development and integration

Extensive experience in application development, particularly in LLMs apps

Proficient in AI algorithms and machine learning, specifically as it pertains to language understanding

Experience with Bing Search API and OpenAI's ChatGPT API

Excellent problem-solving skills

Strong attention to detail

Ability to work independently

Application Instructions:

Interested candidates should provide a cover letter detailing their experience with similar projects, their approach to this particular project, and their expected timelines for completion.

Applicants who can provide samples of past work, particularly involving document interpretation, internal knowledge base creation, Bing API integration, and use of OpenAI's ChatGPT API, will be given preference.

We look forward to your proposals and potentially collaborating with you on this exciting project. Thank you!

I am looking to fine tune a LLM as a vehicle to learn more about machine learning. I have a small dataset and hope to get it into a format where I can train a model. If you think you can tutor me on this subject effectively this job might be for you. Thanks!

I am looking to fine tune a LLM as a vehicle to learn more about machine learning. I have a small dataset and hope to get it into a format where I can train a model. If you think you can tutor me on this subject effectively this job might be for you. Thanks!

We would like to create a PSA (Professional Services Automation) SaaS (Software-as-a-Service) application. The goal of this application is to provide a comprehensive solution for managing and streamlining professional services operations within an organization.

The tool will be based on Java ,reactjs, and machine learning based . Please only apply if you have experience with this

Please only apply if you are expert in SAAS application creation , this is coming from a person with 0 knowledge in developing so will ask couple questions .Only apply if you can build SAAS application from start.

Please only apply if you can work in that price range and also if you will be able to and show us the output .

Please only apply if you can start ASAP and who us the result on our own server . You have to work on our environment and show us progress on server ip or local host

ONLY APPLY IF YOU CAN BUILD JAVA BASED SAAS APPLICATION IN THIS BUDGET DONT ASK FOR BUDGET INCREASE PLEASE

We are looking for an experienced and skilled AI Developer to create an intelligent AI chatbot that seamlessly integrates with WhatsApp. The ideal candidate will have a proven track record in developing chatbots with human-like conversational abilities and possess strong expertise in computer vision, particularly in recognizing and analyzing images. The chatbot should not only respond to users in a natural tone but also provide detailed information about content in the images sent to it.

Responsibilities:

1. AI Chatbot Development: Develop an AI-powered chatbot with advanced natural language processing capabilities, enabling it to interact with users on WhatsApp in a human-like tone.

2. Computer Vision Integration: Implement computer vision algorithms to enable the chatbot to recognize and analyze food images sent by users on WhatsApp.

3. User Engagement: Develop engaging dialogue flows and responses for the chatbot, making the user experience enjoyable and informative.

Requirements:

1. Proven Experience: Demonstrable experience in developing AI chatbots with a human-like conversational style is essential.

2. Computer Vision Expertise: Strong background in computer vision techniques and experience in implementing image recognition models for food analysis.

3. Natural Language Processing (NLP): Solid understanding of NLP algorithms and libraries to ensure smooth and contextually relevant conversations.

4. AI and Machine Learning: Deep knowledge of AI and ML technologies to create intelligent and personalized recommendations.

5. WhatsApp Integration: Familiarity with integrating chatbots with the WhatsApp platform or similar messaging applications.

6. Data Security: Ensure the chatbot complies with data privacy and security standards to protect user information.

7. Communication Skills: Excellent communication and collaboration skills to understand project requirements and provide regular updates.

8. Portfolio: Provide a portfolio showcasing previous AI chatbot projects and any relevant computer vision implementations.

How to Apply:

If you're an AI Developer with a passion for creating intelligent chatbots and have expertise in computer vision, we would love to hear from you. To apply, please submit the following:

1. Your updated resume or CV detailing your relevant experience and projects.

2. A link to your portfolio showcasing AI chatbot projects and computer vision work.

We are excited to find a talented AI Developer who can bring our vision to life and create an exceptional AI chatbot experience for our WhatsApp users. If you have any questions about the project or application process, please feel free to reach out. We look forward to working with you!

Dear candidates,

I am look for someone to create a ML model that will extract age from Instagram bios, for example if someone say 25 yo or 32, 1995, etc without assigning age to profiles that say something like married (2018), moved to city in 1999.

Kind regards,

Ivan

Dear candidates,

I am look for someone to create a ML model that will extract age from Instagram bios, for example if someone say 25 yo or 32, 1995, etc without assigning age to profiles that say something like married (2018), moved to city in 1999.

Kind regards,

Ivan

We are seeking a highly skilled Python Developer, with proven expertise in API development using Flask, the use of data science libraries, and LLMs. Experience in machine learning is a significant plus. Join our fully remote team, where you'll be responsible for designing, developing, implementing, and maintaining our applications and systems. You'll play a key role in strengthening our technological infrastructure while propelling our capacity to innovate. Fluent proficiency in both French and English, in writing and speaking, is a prerequisite for this role.

Responsibilities

- Maintain and enhance existing applications and systems.

- Efficiently resolve technical issues.

- Collaborate with other developers and team members.

Requirements

- 3 to 10 years of professional experience in Python development.

- Experience in API development with Flask.

- Familiarity with data science libraries and LLMs.

- Experience in machine learning is a plus.

- Profound knowledge of web technologies and databases.

- Familiarity with development tools and methodologies.

- Excellent communication and problem-solving skills.

- Bachelor’s, Master’s degree or equivalent in Computer Science, Engineering or a related field.

Benefits

- We offer a highly competitive salary.

- Excellent career opportunity in a rapidly growing company.

- The flexibility to work from anywhere.

Description

We are seeking a highly skilled Python Developer, with proven expertise in API development using Flask, the use of data science libraries, and LLMs. Experience in machine learning is a significant plus. Join our fully remote team, where you'll be responsible for designing, developing, implementing, and maintaining our applications and systems. You'll play a key role in strengthening our technological infrastructure while propelling our capacity to innovate. Fluent proficiency in both French and English, in writing and speaking, is a prerequisite for this role.

Responsibilities

- Design, develop, and implement software applications and systems.

- Develop and maintain APIs using Flask.

- Utilize data science libraries and LLMs in system development.

- Test and debug applications and systems.

- Maintain and enhance existing applications and systems.

- Efficiently resolve technical issues.

- Collaborate with other developers and team members.

Requirements

- 3 to 10 years of professional experience in Python development.

- Experience in API development with Flask.

- Familiarity with data science libraries and LLMs.

- Experience in machine learning is a plus.

- Profound knowledge of web technologies and databases.

- Familiarity with development tools and methodologies.

- Excellent communication and problem-solving skills.

- Bachelor’s, Master’s degree or equivalent in Computer Science, Engineering or a related field.

Benefits

- We offer a highly competitive salary.

- Excellent career opportunity in a rapidly growing company.

- The flexibility to work from anywhere.

We are looking for an experienced AI Text-to-Speech App Developer to create a text-to-speech app that can convert written text into natural-sounding speech using AI algorithms and machine learning. The ideal candidate will have a deep understanding of AI text-to-speech technology and experience in developing similar apps.

Responsibilities:

- Develop an AI text-to-speech app that can convert written text into natural-sounding speech

- Use AI algorithms and machine learning to create life-like synthetic voices that mimic the tonalities and prosodies of human speech and sound

- Ensure the app is user-friendly and scalable

- Stay up-to-date with the latest AI text-to-speech technology and trends

- Collaborate with our team to ensure the app meets our requirements and specifications

Requirements:

- Proven experience in developing AI text-to-speech apps

- Deep understanding of AI algorithms and machine learning

- Familiarity with programming languages such as Python, C++, and JavaScript

- Experience with cloud-based services such as AWS and Google Cloud

- Strong problem-solving and analytical skills

- Excellent communication and collaboration skills

If you have a passion for AI text-to-speech technology and are interested in developing an app that can revolutionize the way people interact with written text, we encourage you to apply for this position.

Note: Please include samples of your previous work and a detailed project plan in your application.

**Job Description:**

We are seeking a talented and experienced Back-End Developer to join us in crafting the next generation of our innovative web application, Story Bard, a platform that generates custom parody videos based on user input. You'll work independently, focusing on server-side logic, database management, and integration of front-end elements into the application.

**Project Description:**

Our web application, "Story Bard," allows users to generate, watch, and share short AI video stories. The front-end part of the project, including a Create Page, User Page, and Discover Page, is being handled by another team. Your role will be to build the back-end of the application, and integrate the server-side components with the front-end.

You can refer to our current website, Story Bard (https://www.storybard.co/), and our beta version of the app (https://gradio-app-6rzef4ualq-wn.a.run.app/) to get a better understanding of what we're aiming to build.

We'll be utilizing technologies like GPT-4 for story generation, Stability-SDK for image generation, and Play.ht for narration generation.

**Job Requirements:**

1. Strong proficiency in server-side languages such as Python, Ruby, Java, PHP, Node.js.

2. Experience in setting up and managing databases, including work with SQL or NoSQL databases.

3. Experience working with cloud platforms (e.g., AWS, Google Cloud Platform) for server management.

4. Knowledge of and experience working with AI and Machine Learning tools like GPT-4.

5. Previous experience with APIs, including third-party integrations like Stability-SDK and Play.ht.

6. Knowledge and experience with multithreading and managing multiple processes simultaneously.

7. Excellent problem-solving skills, attention to detail, and the ability to produce clean, efficient, well-documented code.

8. Ability to work independently, meet deadlines, and manage your own tasks effectively.

9. Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

**Responsibilities:**

1. Develop server-side logic and architecture.

2. Set up and manage servers and databases.

3. Ensure high performance and responsiveness to requests from the front-end.

4. Integration of front-end elements built by your front-end counterparts into the application.

5. Implement security and data protection measures.

6. Conduct testing, maintenance, and troubleshooting of back-end components.

**How to Apply:**

If you meet the above requirements and are excited to be a part of our innovative project, please apply with your resume, relevant portfolio examples, and a brief note about why you're interested in this role. Be sure to review our current website, Story Bard (https://www.storybard.co/), and the beta version of the app (https://gradio-app-6rzef4ualq-wn.a.run.app/) to get a clearer picture of our vision and the project's scope.

I'm are seeking a highly skilled developer proficient in Swift and Python, with a solid background in machine learning and Natural Language Processing (NLP), to assist in building an iOS application. This project will be undertaken by a team of three, including myself, aiming for completion by December this year.

The main objective of this project is to create an email application with the following functionalities:

1) Capability to analyze and categorize emails received overnight or any unread emails.

2) Generate custom draft responses for each email, tailored according to the content.

3) Rank emails based on their significance, using analysis of factors such as content, sender, subject line, etc.

It's crucial that the system can perform these tasks autonomously, readying the draft email for review and potential dispatch when the user begins their day.

Key Deliverables:

1) A comprehensive system design document outlining the architecture of the application.

2) Full implementation of the planned email application.

3) Rigorous testing and validation to confirm that the email application meets the outlined requirements.

4) Creation of training documentation or a user manual to aid users in the utilization of the application.

Essential Skills:

Machine Learning: Required for categorizing and prioritizing emails, along with generating draft responses.

Natural Language Processing (NLP): Essential for comprehending the content of emails and formulating appropriate responses.

Software Development: Necessary for designing and implementing the application, along with ensuring compatibility with existing email systems.

Please let me know if this project aligns with your expertise and interests. I'm are eager to hear from you and discuss the next steps.

Best regards

I'm are seeking a highly skilled developer proficient in Swift and Python, with a solid background in machine learning and Natural Language Processing (NLP), to assist in building an iOS application. This project will be undertaken by a team of three, including myself, aiming for completion by December this year.

The main objective of this project is to create an email application with the following functionalities:

1) Capability to analyze and categorize emails received overnight or any unread emails.

2) Generate custom draft responses for each email, tailored according to the content.

3) Rank emails based on their significance, using analysis of factors such as content, sender, subject line, etc.

It's crucial that the system can perform these tasks autonomously, readying the draft email for review and potential dispatch when the user begins their day.

Key Deliverables:

1) A comprehensive system design document outlining the architecture of the application.

2) Full implementation of the planned email application.

3) Rigorous testing and validation to confirm that the email application meets the outlined requirements.

4) Creation of training documentation or a user manual to aid users in the utilization of the application.

Essential Skills:

Machine Learning: Required for categorizing and prioritizing emails, along with generating draft responses.

Natural Language Processing (NLP): Essential for comprehending the content of emails and formulating appropriate responses.

Software Development: Necessary for designing and implementing the application, along with ensuring compatibility with existing email systems.

Please let me know if this project aligns with your expertise and interests. I'm are eager to hear from you and discuss the next steps.

Best regards

Job Title: AI Solutions Developer/Implementer

My growing AI Solutions company is seeking a skilled individual or team who can effectively implement AI Solutions, specifically focusing on the development of chatbots and automated services for businesses' websites and applications. As an AI Solutions Developer/Implementer, you will play a crucial role in driving our company's success by delivering innovative and efficient AI-powered solutions to our clients.

Responsibilities:

1. Collaborate with clients to understand their business requirements and objectives for implementing AI Solutions.

2. Design, develop, and deploy chatbots and automated services tailored to clients' specific needs.

3. Utilize cutting-edge technologies and AI frameworks to create intelligent conversational agents that improve user experiences.

4. Integrate chatbots and automated services seamlessly into clients' websites, applications, and other platforms.

5. Ensure the solutions are scalable, secure, and optimized for performance.

6. Conduct thorough testing and debugging to identify and resolve any issues or bugs in the implemented AI solutions.

7. Provide ongoing support, maintenance, and updates to the AI solutions as required.

8. Stay updated with the latest advancements in AI technologies and industry trends to continuously enhance the quality of the solutions.

Requirements:

1. Extensive experience in implementing AI solutions, specifically with chatbot development and automated services for websites and applications.

2. Proficiency in programming languages such as Python, Java, or JavaScript.

3. Strong knowledge of natural language processing (NLP) and machine learning algorithms.

4. Familiarity with AI frameworks and platforms like TensorFlow, Dialogflow, or Microsoft Azure.

5. Ability to understand clients' business requirements and translate them into successful AI solutions.

6. Excellent problem-solving skills and attention to detail.

7. Strong communication and collaboration skills to liaise effectively with clients and internal teams.

8. Adaptable and able to work in a fast-paced, deadline-driven environment.

Preferred Qualifications:

1. Bachelor's or Master's degree in Computer Science or related fields.

2. Previous experience in working with diverse clients and industries.

3. Knowledge of cloud computing platforms for AI implementation.

If you are passionate about implementing AI solutions and have the necessary skills and knowledge, we would love to hear from you. Join our team and be a part of our mission to provide cutting-edge AI solutions to businesses.

Looking for experience in ML and NLP, setting up opensource llms and training them. building out ML algos and analysis.

**Job Title: AI Speech Recognition for Azerbaijani Language**

**Overview:**

We are looking for a talented and experienced AI Speech Recognition expert to develop and train a robust AI model for a specific one-command task in the Azerbaijani language. The goal is to integrate this AI speech recognition module into our existing mobile application. If you have a strong background in AI, Natural Language Processing (NLP), and have previous experience with speech recognition systems, we would love to hear from you!

**Responsibilities:**

1. **AI Model Development:** Create a customized AI speech recognition model tailored to the Azerbaijani language to accurately recognize a specific one-command task.

2. **Data Collection:** Gather and curate a diverse dataset of Azerbaijani speech samples to train and fine-tune the AI model effectively.

3. **Training and Optimization:** Train the AI model using state-of-the-art techniques and continually optimize its performance to achieve high accuracy in recognizing the designated command.

4. **Integration:** Integrate the trained AI speech recognition module seamlessly into our existing mobile application infrastructure.

5. **Testing and Validation:** Conduct rigorous testing and validation to ensure the accuracy and reliability of the speech recognition module across different devices and real-world scenarios.

6. **Performance Monitoring:** Implement mechanisms for monitoring the performance of the AI model in the app and make necessary adjustments as needed.

7. **Documentation:** Provide clear and comprehensive documentation on the model architecture, training process, and integration steps for future reference.

**Requirements:**

- Proven experience in developing AI speech recognition systems and working with Natural Language Processing technologies.

- Strong expertise in machine learning frameworks and libraries suitable for speech recognition tasks.

- Prior experience in training AI models for speech recognition with a track record of successful projects.

- Ability to curate and preprocess large datasets for training purposes.

- Familiarity with mobile app development and integration of AI models within the app is a plus.

- Excellent communication skills and the ability to work collaboratively with our team.

**Proposal Submission:**

If you are interested in taking up this challenging opportunity, please submit a detailed proposal outlining your relevant experience, approach to the task, and a rough timeline for completing the project. Additionally, include any relevant work samples or links to past projects that demonstrate your expertise in AI speech recognition.

**Note:**

We are committed to fostering diversity and encourage candidates of all backgrounds to apply. We value creativity, innovation, and a passion for pushing the boundaries of AI technology. Let's work together to make this AI speech recognition module a success in Azerbaijani!

I am looking for an expert in regression testing and machine learning to do the following:

-Clarify and explain the following research paper in details.

The research paper name is:

Hybrid weight-based and string distance using particle swarm optimization for test case prioritization.

In need someone with experience in machine learning and image processing libraries to work on a project related to object recogntiion and segmentation.

i need the proect to be completed in python programming language and ideally someone with knowledge of opencv and Deep Learning

We are seeking a highly skilled and experienced Data / AI focused Developer to join our Programmatic Team.

Responsibilities:

1. Data Extraction, Analysis, and Manipulation: Use python and other tools to extract and prep datasets from disparate sources to provide foundations for new content generation.

2. Scalable Process and System Development: This includes developing reusable libraries and APIs, building robust production systems that meet quality and time SLAs, as well as proper dev. foundations for the team.

3. Model usage and development: Leverage off-the-shelf solutions like LLMs and other models, or work to build and deploy our own custom models to help generate content and other related elements.

4. Collaborative Communication: Effectively communicate complex technical concepts to both technical and non-technical team members, fostering a collaborative and inclusive working environment.

5. Self-Starting Approach: Demonstrate a proactive and self-motivated attitude, taking the initiative to solve problems and drive projects forward independently.

6. Full Development Lifecycle: Exhibit a broad understanding of the entire development lifecycle, from project conception to deployment, ensuring the successful execution of projects.

7. Learning and Adaptability: Show a willingness to learn and stay up-to-date with the latest technologies and advancements in the data and machine learning field, applying this knowledge to enhance team efficiency.

Requirements:

1. Proven Experience: A minimum of 5-10 years of experience working as a Data and Machine Learning Developer, with a track record of successfully delivering impactful projects.

2. Python Proficiency: Strong programming skills in Python, with experience in using data analysis libraries and machine learning frameworks.

3. Product and System Design Mindset.

4. Data Expertise: Demonstrated experience in working with and manipulating datasets, building data pipelines, scraping technologies, and preparing data for machine learning tasks.

5. Communication Skills: Excellent communication and interpersonal abilities to effectively convey complex technical concepts to diverse audiences.

6. Self-Motivated: A proactive and self-starting approach, with the ability to independently drive projects and find innovative solutions.

7. Full Development Lifecycle Exposure: Broad exposure to the entire development lifecycle, from ideation to deployment and maintenance.

8. Learning and Adaptability

We are seeking a highly skilled and experienced Data / AI focused Developer to join our Programmatic Team.

Responsibilities:

1. Data Extraction, Analysis, and Manipulation: Use python and other tools to extract and prep datasets from disparate sources to provide foundations for new content generation.

2. Scalable Process and System Development: This includes developing reusable libraries and APIs, building robust production systems that meet quality and time SLAs, as well as proper dev. foundations for the team.

3. Model usage and development: Leverage off-the-shelf solutions like LLMs and other models, or work to build and deploy our own custom models to help generate content and other related elements.

4. Collaborative Communication: Effectively communicate complex technical concepts to both technical and non-technical team members, fostering a collaborative and inclusive working environment.

5. Self-Starting Approach: Demonstrate a proactive and self-motivated attitude, taking the initiative to solve problems and drive projects forward independently.

6. Full Development Lifecycle: Exhibit a broad understanding of the entire development lifecycle, from project conception to deployment, ensuring the successful execution of projects.

7. Learning and Adaptability: Show a willingness to learn and stay up-to-date with the latest technologies and advancements in the data and machine learning field, applying this knowledge to enhance team efficiency.

Requirements:

1. Proven Experience: A minimum of 5-10 years of experience working as a Data and Machine Learning Developer, with a track record of successfully delivering impactful projects.

2. Python Proficiency: Strong programming skills in Python, with experience in using data analysis libraries and machine learning frameworks.

3. Product and System Design Mindset.

4. Data Expertise: Demonstrated experience in working with and manipulating datasets, building data pipelines, scraping technologies, and preparing data for machine learning tasks.

5. Communication Skills: Excellent communication and interpersonal abilities to effectively convey complex technical concepts to diverse audiences.

6. Self-Motivated: A proactive and self-starting approach, with the ability to independently drive projects and find innovative solutions.

7. Full Development Lifecycle Exposure: Broad exposure to the entire development lifecycle, from ideation to deployment and maintenance.

8. Learning and Adaptability